Description:FIELD OF THE INVENTION

[0001] The present invention relates to a patient monitoring and support device for personalized care that is designed to continuously monitor a patient’s brain muscle activity and detect early signs of a potential seizure by analyzing changes in brainwave patterns and adjusts the patient’s positioning and monitors vital physiological parameters to provide a personalized level of comfort, thus enhancing the patient safety and well-being by proactively responding to medical conditions and ensuring optimal support during critical situations.

BACKGROUND OF THE INVENTION

[0002] In medical environments, patients who suffer from neurological disorders, mobility impairments, or critical medical conditions often require continuous monitoring and personalized support to ensure their well-being. Traditional hospital beds and patient support systems provide only basic adjustments and lack the capability to dynamically adapt to a patient’s medical needs in real time. This limitation poses challenges in effectively managing conditions such as seizures, respiratory distress, and muscle deterioration which require immediate intervention and adaptive care.

[0003] Existing patient monitoring devices and systems primarily rely on external sensors and manual interventions, making them less effective in providing automated and real-time adjustments based on the patient’s physiological condition. Therefore, there is a need for a device that not only detects early signs of medical distress but also automatically adjusts the patient’s position, provides customized comfort, and ensures safety during critical situations. The present invention addresses these challenges by integrating multiple sensors, intelligent monitoring means and automated adjustment assembly to enhance patient care, improve recovery conditions and reduce the burden on healthcare providers.

[0004] CN117122475A relates to an anti-falling bed device for nursing epileptic seizures after meningioma operation, and relates to the field of sickbed nursing. This prevent weighing down bed device based on epileptic seizure nursing after meningioma operation includes that the sick bed bears the base, and the sick bed bears the top rotation of base and is connected with the bed board loading platform, and the top of bed board loading platform is equipped with the bed board main part, and the top of bed board main part is equipped with first prevent weighing down constraint area and second prevent weighing down constraint area. This prevent weighing down bed device based on epileptic seizure nursing after meningioma operation utilizes first prevent weighing down constraint area and second to prevent weighing down constraint area and realizes providing the enhancement protection to the epileptic patient after the meningioma operation, simultaneously, utilizes vibration sensor to provide the monitoring, in time early warning and call medical staff, simultaneously, utilizes electric putter to lift bed board loading platform, makes patient's head be in the state of being inclined, avoids the epileptic in-process to cause vomiting and vomit unable discharge and arouses stifling.

[0005] CN219375112U discloses a novel epileptic seizure protection device for patients, which comprises a bed plate, wherein sliding grooves are formed in the front side and the rear side of the bed plate, a first sliding block and a second sliding block are respectively and movably connected to inner cavities of the two sliding grooves, and a first connecting plate and a second connecting plate are respectively and fixedly connected to one sides of the first sliding block and the second sliding block, which are far away from the bed plate.

[0006] Conventionally, many devices have been developed to assist in monitoring and protecting patients prone to epileptic seizures. These existing devices typically incorporate safety barriers to prevent falls, motion detection sensors to recognize abnormal movements, and automated bed adjustments to modify patient positioning. However, these existing solutions lack a comprehensive, real-time intervention that actively analyzes brainwave patterns and muscle activity to detect early signs of a seizure before it fully manifests. Additionally, most traditional devices do not dynamically adapt to the patient’s neurological and physical state, failing to provide personalized adjustments based on real-time physiological data.

[0007] In order to overcome the aforementioned drawbacks, there exists a need in the art to develop a device that not only requires to detect and monitor seizure activity, but also needs to offer personalized patient support by continuously analyzing brainwave patterns, muscle activity, and vital physiological parameters. The developed device also requires to enhance patient safety through real-time intervention units, such as adaptive bed positioning, automated safety barriers, and integrated alert means that notify healthcare personnel when critical conditions arise.

OBJECTS OF THE INVENTION

[0008] The principal object of the present invention is to overcome the disadvantages of the prior art.

[0009] An object of the present invention is to develop a device that monitors a patient’s brainwave patterns and muscle activity in real-time to detect early signs of a potential seizure, enabling timely intervention and reducing health risks.

[0010] Another object of the present invention is to develop a device that automatically adjusts the patient’s positioning based on detected physiological conditions, ensuring optimal posture to prevent complications such as aspiration during a seizure.

[0011] Yet another object of the present invention is to develop a device that assess the patient’s emotional attachment or interest in an object based on fluctuations in brain activity, allowing caregivers to monitor emotional well-being.

[0012] The foregoing and other objects, features, and advantages of the present invention will become readily apparent upon further review of the following detailed description of the preferred embodiment as illustrated in the accompanying drawings.

SUMMARY OF THE INVENTION

[0013] The present invention relates to a patient monitoring and support device for personalized care that adjusts a patient’s positioning, monitoring vital physiological parameters, detecting early signs of medical conditions, and providing necessary interventions to enhance patient comfort and safety.

[0014] According to an embodiment of the present invention, a patient monitoring and support device for personalized care, comprises of a rectangular platform constructed with plurality of extendable plates installed inside a health-care configuration for accommodation of a patient, four perpendicularly installed supporting legs attached underneath the platform, a user-interface inbuilt in a computing unit accessed by a concerned healthcare personnel to provide personal and medical information of the patient that is stored in a database linked with an inbuilt microcontroller, an artificial intelligence-based imaging unit configured on the platform to detect body dimensions of the patient and the microcontroller linked with the imaging unit processes the detected dimensions and actuates the plates to extend/retract and synchronously actuates plurality of motorized hinges configured between the plates for tilting the plates to allow customized adjustments of the plates to accommodate patient’s torso, legs, and entire body, a head cover attached at head side of the platform via an extendable member and integrated with multiple electrodes via extendable bar coupled with hinge joints, wherein a EEG (Electroencephalography) sensor integrated the bar to monitor muscle activity and detect early signs of a potential seizure by analyzing changes in brainwave patterns, a multiple air inflated cushioned padding fabricated over the platform to adjusts pressure in different sections of the platform via an air-inflating unit installed on the platform and a PPG (Photoplethysmography) sensor integrated into the platform to monitor patient’s breathing patterns, to determine if breathing has stopped, the microcontroller triggers an automatic CPR sequence to assist in reviving the patient by restoring normal respiratory function.

[0015] According to another embodiment of the present invention, the device further comprises of a pneumatic rod mounted the platform supporting a touch enabled display screen that displays visual content designed to calm the patient and divert their mind from any confusion or disorientation post-seizure to help patient recall past events and promote cognitive recovery, plurality of curved-shaped flaps attached the head cover and having a first EMG (Electromyography) sensor positioned near the patient's jaw to measure electrical activity generated by muscles involved in speech production, a microphone integrated with the flap captures sound of patient’s speech, enabling real-time monitoring of both muscle activity and vocalization, a collapsible pole attached to the platform to position an eye-blink sensor integrated with the pole to detect where patient is focusing their gaze to track visual engagement with objects or stimuli in the environment, a motorized slider positioned on the platform mounted with a hydraulic actuator to provide necessary force to lift or lower parts of the platform to facilitate smooth and reliable transitions in patient positioning, and multiple second EMG sensors placed at various points on the platform to monitor muscle activity of patient during sleep and a battery associated with the device for supplying power to electrical and electronically operated components associated with the device.

[0016] While the invention has been described and shown with particular reference to the preferred embodiment, it will be apparent that variations might be possible that would fall within the scope of the present invention.

BRIEF DESCRIPTION OF THE DRAWINGS

[0017] These and other features, aspects, and advantages of the present invention will become better understood with regard to the following description, appended claims, and accompanying drawings where:
Figure 1 illustrates an isometric view of a patient monitoring and support device for personalized care in a stowed state; and
Figure 2 illustrates an isometric view of a rectangular platform associated with the device in a deployed state.

DETAILED DESCRIPTION OF THE INVENTION

[0018] The following description includes the preferred best mode of one embodiment of the present invention. It will be clear from this description of the invention that the invention is not limited to these illustrated embodiments but that the invention also includes a variety of modifications and embodiments thereto. Therefore, the present description should be seen as illustrative and not limiting. While the invention is susceptible to various modifications and alternative constructions, it should be understood, that there is no intention to limit the invention to the specific form disclosed, but, on the contrary, the invention is to cover all modifications, alternative constructions, and equivalents falling within the spirit and scope of the invention as defined in the claims.

[0019] In any embodiment described herein, the open-ended terms "comprising," "comprises,” and the like (which are synonymous with "including," "having” and "characterized by") may be replaced by the respective partially closed phrases "consisting essentially of," consists essentially of," and the like or the respective closed phrases "consisting of," "consists of, the like.

[0020] As used herein, the singular forms “a,” “an,” and “the” designate both the singular and the plural, unless expressly stated to designate the singular only.

[0021] The present invention relates to a patient monitoring and support device for personalized care that is capable of monitoring a patient’s brain muscle activity and detecting early signs of a potential seizure by analyzing changes in brainwave patterns and adjusts the patient’s positioning and monitoring vital physiological parameters to provide a personalized level of comfort to the patient.

[0022] Referring to Figure 1 and 2, an isometric view of a patient monitoring and support device for personalized care in a stowed state and an isometric view of a rectangular platform associated with the device in a deployed state are illustrated, respectively, comprising a rectangular platform 101 constructed with plurality of extendable plates 201 installed inside a health-care configuration, four perpendicularly installed supporting legs 103 attached underneath the platform 101, an artificial intelligence-based imaging unit 104 configured on the platform 101, a head cover 105 integrated with multiple electrodes 106 installed on the platform 101 and configured with a EEG (Electroencephalography) sensor 107.

[0023] Figure 1 and 2 further illustrates multiple air inflated cushioned padding 108 fabricated over the platform 101, a PPG (Photoplethysmography) sensor 109 integrated into the platform 101, automatic CPR sequence 110 installed over the platform 101, a pneumatic rod 111 mounted on the platform 101 and configured with a touch enabled display screen 112, plurality of curved-shaped flaps 113 attached to both bottom ends of the head cover 105 each housing a first EMG (Electromyography) sensor 114, a collapsible pole 115 vertically attached to the platform 101 having an eye-blink sensor 116, a hinged flap 117 attached to the platform 101, multiple second EMG sensors 118 placed at various points on the platform 101 and a motorized slider 202 positioned on the platform 101 having a hydraulic actuator 203.

[0024] The present invention relates to a rectangular platform 101 constructed with plurality of extendable plates 201 adapted to be installed inside a health-care configuration to accommodate a patient over the platform 101. The platform 101 is made from, but not limited to, high-strength aluminum alloys, stainless steel, or reinforced composite materials, ensuring durability, stability, and resistance to corrosion. The platform 101 is installed with four perpendicularly installed supporting legs 103 underneath the platform 101 to provide support to the platform 101 over ground surface.

[0025] A concerned healthcare personnel access a user interface installed within a computing unit that includes but is not limited to a smartphone and laptop for enabling the personnel to input commands regarding the personal and medical information of the patient as input in a user-profile of the patient. The computing unit is linked with a microcontroller embedded with the platform 101 via an integrated communication module that includes but not limited to Wi-Fi (Wireless Fidelity) module, Bluetooth module, GSM (Global System for Mobile Communication) module which is capable of establishing a wireless network between the microcontroller and the computing unit. The computing unit used herein is capable of computing operations according to the personnel’s desire with the help of the user interface and the input data is stored in a database linked with the microcontroller.

[0026] The healthcare personnel presses a push button integrated with the platform 101, such that when the personnel presses the push button, it initiates an electrical circuit mechanism. Inside the push button, there is a spring-loaded contact mechanism that, under normal circumstances, maintains an open circuit. When the button is pressed, it compresses the spring, causing the contacts to meet and complete the circuit. This closure then sends an electrical signal to an inbuilt microcontroller associated with the device to either power up or shut down. Conversely, releasing the button allows the spring to return to its original position, breaking the circuit and sending the signal to deactivate the device.

[0027] Upon receiving the activation signal and upon positioning of the patient over the platform 101, the microcontroller activates an artificial intelligence-based imaging unit 104 configured on the platform 101 and paired with a processor to detect body dimensions of the patient. The imaging unit 104 comprises of an image capturing arrangement including a set of lenses that captures multiple images of the patient, and the captured images are stored within a memory of the imaging unit 104 in form of an optical data. The imaging unit 104 also comprises of a processor that is integrated with artificial intelligence protocols, such that the processor processes the optical data and extracts the required data from the captured images. The extracted data is further converted into digital pulses and bits and are further transmitted to the microcontroller. The microcontroller processes the received data and detects body dimensions of the patient.

[0028] The microcontroller linked with the imaging unit 104 processes the detected body dimensions of the patient and actuates the plates 201 to extend/retract and synchronously actuates plurality of motorized hinges configured between the plates 201 for tilting the plates 201 towards/away from each other. The extendable plates 201 are integrated with a drawer arrangement which includes multiple panels that are overlapped to each other with a sliding assembly, wherein upon actuation of the drawer arrangement by the microcontroller, the motor in the sliding assembly starts rotating a wheel coupled via a shaft in clockwise/anticlockwise direction providing a movement to the sliding assembly in the drawer arrangement to ensures a smooth and efficient extension and retraction of the plates 201.

[0029] Simultaneously, the microcontroller actuates the motorized hinges to tilt the plates 201 towards/away from each other. The motorized hinge comprises of a pair of leaf that is screwed with the surfaces of the plates 201. The leaf is connected with each other by means of a cylindrical member integrated with a shaft coupled with a DC (Direct Current) motor to provide required movement to the hinge. The rotation of the shaft in clockwise and anti-clockwise aids in opening and closing of the hinge respectively. Hence the microcontroller actuates the hinge that in turn provides movement to the plates 201, enabling precise adjustments in response to the patient’s detected body dimensions. The controlled movement of the motorized hinge ensures smooth and synchronized tilting of the plates 201, allowing for gradual and comfortable positioning of the patient over the platform 101.

[0030] A head cover 105 is installed over the platform 101 via an extendable member, wherein the extendable member is actuated by the microcontroller to work in sync with the imaging unit 104 to extend/retract to position the head cover 105 towards the patient’s head portion. The extendable member is linked to a pneumatic unit, including an air compressor, air cylinders, air valves and piston which works in collaboration to aid in extension and retraction of the member. The pneumatic unit is operated by the microcontroller. Such that the microcontroller actuates valve to allow passage of compressed air from the compressor within the cylinder, the compressed air further develops pressure against the piston and results in pushing and extending the piston.

[0031] The piston is connected with the member and due to applied pressure, the member extends and similarly, the microcontroller retracts the member by closing the valve resulting in retraction of the piston. Thus, the microcontroller regulates the extension/retraction of the member in order to position the head cover 105 towards the patient’s head portion to allow the patient to accommodate patient’s head portion within the head cover 105.

[0032] Upon accommodation of the head cover 105 by the patient, the microcontroller actuates an extendable bar coupled with hinge joints installed within the head cover 105 and configured with multiple electrodes 106. The extendable bar is powered by a pneumatic unit, including an air compressor, air cylinders, air valves and piston which works in collaboration to aid in extension and retraction of the bar, thus ensuring proper contact between the electrodes 106 and the patient’s scalp.

[0033] Once positioned, the microcontroller activates the electrodes 106 to detect electrical signals generated by neural activity in the patient’s brain. The electrodes 106 function by capturing electrical signals generated by neural activity in the brain through direct contact with the scalp. Each electrode 106 consists of a conductive metal, such as silver-silver chloride or gold, which facilitates efficient signal transmission. A conductive gel or paste is often applied between the electrode 106 and the skin to reduce impedance and enhance signal quality. When neurons fire, they produce tiny electrical potentials that create voltage differences on the scalp.

[0034] These voltage changes induce a small current in the electrodes 106, which then pass the signals through shielded wires to an EEG (Electroencephalography) sensor 107 integrated with free-ends of the bar. The EEG sensor 107 operates by capturing and processing electrical signals received from electrodes 106 placed on the scalp. The EEG sensor 107 consists of an amplifier, filters, and a signal processor. The amplifier strengthens the weak neural signals, which typically range from microvolts to millivolts, ensuring they are measurable. The filters remove unwanted noise and interference, such as signals from muscle activity or external electrical sources, preserving only relevant brainwave data. The processed signals are then digitized by an analog-to-digital converter and sent to a signal processor, which analyzes the frequency and amplitude of brainwaves in real-time. This allows for the identification of normal and abnormal neural patterns, enabling detection of neurological conditions or cognitive states.

[0035] The platform 101 is fabricated with multiple air inflated cushioned padding 108 that allows for adjustment of pressure in different sections of the platform 101. The air-inflating cushion padding 108 is controlled by an air-inflating unit installed on the platform 101 that is activated by the microcontroller based on EEG sensor 107 data to adjust the air pressure within the padding 108 to provide a personalized level of comfort for the patient. The air-inflating unit is equipped with a compressor, wherein the air compressor works by compressing atmospheric air and storing air in the padding 108, which is then inflated.

[0036] The compressor works by converting the potential energy of the air into kinetic energy. This is done by compressing the air, which increases the air pressure and temperature. The air is then released through a nozzle and directed into the padding 108 thus aiding in inflating of the padding 108 for providing the personalized level of comfort for the patient, thereby creating a customized and responsive sleep environment for the patient.

[0037] The microcontroller then activates a PPG (Photoplethysmography) sensor 109 integrated into the platform 101 to monitor patient’s breathing patterns. The PPG (Photoplethysmography) sensor 109 operates by emitting light, typically from an LED, onto the skin and measuring the amount of light absorbed or reflected by blood vessels using a photodetector. The PPG sensor 109 consists of an LED that emits infrared or visible light and a photodetector that captures the reflected or transmitted light. When blood pulses through the vessels due to cardiac activity, the amount of absorbed or reflected light fluctuates, creating a signal corresponding to blood volume changes.

[0038] The detected signal is then processed by the microcontroller to extract vital physiological parameters, including heart rate and respiratory patterns. By analyzing the periodic variations in the PPG signal, the device determines the patient's breathing rate. If the signal indicates prolonged irregularities or an absence of breathing, the microcontroller interprets this as a critical event and activates an automatic CPR sequence 110 to restore normal respiratory function.

[0039] The CPR sequence 110 includes a telescopic pusher fabricated with a cushioned layer attached to side of the platform 101 via a supporting link, which applies controlled compression to chest area of the patient to assist in restarting breathing following a seizure event. The telescopic pusher consists of multiple cylindrical segments that slide within one another, allowing controlled extension and retraction. The telescopic pusher is fabricated with a cushioned layer at the end to ensure gentle and even pressure distribution on the patient’s chest. The pusher is attached to the side of the platform 101 via a supporting link, which provides stability and ensures proper positioning during operation. When the microcontroller detects the absence of breathing from the PPG sensor 109, the microcontroller activates a motorized actuator connected to the telescopic pusher.

[0040] The actuator extends the pusher in a rhythmic manner, applying controlled compressions to the patient’s chest to stimulate respiration. The cushioned layer minimizes discomfort and prevents injury while ensuring effective force transmission. After each compression, the actuator retracts the pusher to allow chest recoil, simulating the natural breathing process. The cycle continues until the microcontroller detects a restoration of normal breathing patterns, at which point the pusher retracts to the pusher’s original position.

[0041] A pneumatic rod 111 mounted on the side of the platform 101 that provide support to a touch enabled display screen 112 positioned at a specific distance from patient’s face. Based on detecting the patient’s face position, the microcontroller actuates the pneumatic rod 111 to enable smooth and adjustable positioning of the display screen 112. The pneumatic rod 111 consists of a sealed cylinder containing compressed air, a piston, and a valve arrangement that regulates airflow. When the microcontroller activates the rod 111, the valve releases or restricts air pressure, allowing the piston to extend or retract, thereby adjusting the display screen’s 112 position relative to the patient’s face.

[0042] The microcontroller then activates the display screen 112, which is positioned at a specific distance from the patient’s face, to present visual content designed to aid in post-seizure recovery. The display screen 112 retrieves and plays personalized images, videos, or interactive content that help the patient regain orientation and reduce confusion. The content selection is based on pre-stored data, which may include familiar faces, locations, or soothing animations aimed at calming the patient. By engaging with the displayed content, the patient is encouraged to recall past events, reinforcing cognitive recovery. The touch-enabled interface allows interaction, further stimulating memory recall and mental grounding. The microcontroller ensures smooth operation by dynamically adjusting the content and display settings according to the patient's condition, providing a supportive recovery environment.

[0043] Plurality of curved-shaped flaps 113 are attached to both bottom ends of the head cover 105, each containing a first EMG (Electromyography) sensor 114 positioned near the patient’s jaw, wherein the first EMG (Electromyography) sensor 114 is activated by the microcontroller to detect electrical signals generated by muscle activity involved in speech production. Upon activation, the EMG sensor 114 captures and measures the tiny electrical potentials produced by the contraction and relaxation of jaw muscles. These signals are then amplified, filtered to remove noise, and processed to extract relevant muscle activity data. The processed data is transmitted to the microcontroller, which analyzes variations in muscle tension and correlates them with real-time speech input captured by an inbuilt microphone 102.

[0044] The microphone 102 operates by converting sound waves into electrical signals using its core components: a diaphragm, a transducer element, and an amplifier. When the patient speaks, sound waves cause the diaphragm, a thin and flexible membrane, to vibrate in response to changes in air pressure. These vibrations are transferred to the transducer element, which converts the mechanical energy into an electrical signal. In a condenser microphone, this occurs through changes in capacitance between the diaphragm and a fixed backplate, while in a dynamic microphone, a coil attached to the diaphragm moves within a magnetic field, inducing an electrical current. The weak electrical signal is then amplified and processed to extract speech characteristics. This processed speech data is analyzed in real-time by the microcontroller, allowing it to correlate vocal output with muscle activity detected by the EMG sensor 114, facilitating speech assessment and disorder detection.

[0045] Further, the display screen 112 present words or alphabets, stimulating the patient’s cognitive faculties and encouraging mental engagement. The EMG (Electromyography) sensor 114 monitor electrical activity in specific muscle groups associated with facial expressions or eye movements, which indicate attention levels. When the patient focuses on the displayed content, the EMG sensors 114 detect variations in muscle activity caused by micro-movements, such as subtle facial expressions or blinking patterns. These signals are then processed by the microcontroller to assess the patient's cognitive engagement, determining whether the patient is actively paying attention to the displayed content. If engagement levels are low, the display screen 112 modifies the content or introduce interactive elements to enhance cognitive stimulation and support mental recovery.

[0046] A collapsible pole 115 is vertically attached to the side of the platform 101 and positioned at a specific distance from the patient’s eyes, allowing precise placement of an integrated eye-blink sensor 116. The collapsible pole 115 is powered by a pneumatic unit, including an air compressor, air cylinders, air valves and piston which works in collaboration to aid in extension and retraction of the pole 115, thus allowing precise placement of the eye-blink sensor 116.

[0047] The microcontroller then activates the eye-blink sensor 116 which operates by detecting the movement of the eyelids using an infrared (IR) light source and a photodetector. The eye-blink sensor 116 emits IR light toward the eye, and the photodetector captures the reflected light, which varies depending on whether the eyelid is open or closed. When the patient blinks, the eyelid movement alters the amount of reflected IR light, generating a signal corresponding to the blink pattern. This signal is processed through an amplifier and a filtering circuit to remove noise and enhance accuracy. The processed data is then transmitted to the microcontroller, which analyzes blink frequency, duration, and patterns to assess visual engagement, fatigue, or neurological response. By tracking these parameters, the device is able to determine the patient's level of attention and correlate it with cognitive or emotional states.

[0048] Based on this analysis, the microcontroller sends a real-time alert to the authorized personnel’s computing unit, enabling caregivers to monitor the patient’s emotional well-being. This feature is particularly useful in assessing cognitive engagement, emotional responses to familiar or unfamiliar stimuli, and tracking changes in the patient’s psychological state over time. If necessary, caregivers are able to use this data to provide appropriate interventions, such as adjusting the patient’s environment, introducing familiar objects for comfort, or engaging in therapeutic activities that support cognitive and emotional health.

[0049] A motorized slider 202 is positioned on opposite sides of the platform 101 and attached to a hydraulic actuator 203 with bottom end of actuator 203 positioned at ground. If the healthcare personnel provides input commands via the computing unit to raise the head section of the platform 101, the microcontroller activates the motorized slider 202 to provide translation motion to the actuator 203 at optimal position relative to the ground. The slider 202 include sliding rack and rail, such that the hydraulic actuator 203 mounted over the racks that are electronically operated by the microcontroller for moving over the rails. The slider 202 is powered by a DC (direct current) motor that is actuated by the microcontroller by providing required electric current to the motor. The motor comprises of a coil that converts the received electric current into mechanical force by generating magnetic field, thus the mechanical force provides the required power to the rack to provide sliding movement to the hydraulic actuator 203 relative to the ground surface.

[0050] The microcontroller then actuates the hydraulic actuator 203 to provide necessary force to lift or lower parts of the platform 101 to facilitate smooth and reliable transitions in patient positioning. The hydraulic actuator 203 consists of a cylinder, piston rod, hydraulic fluid, pump, and control valve. When the microcontroller activates the hydraulic pump, the pump pressurizes the hydraulic fluid, which is directed into the cylinder chamber through the control valve. This pressure forces the piston rod to extend, generating an upward force that lifts the platform 101. To lower the platform 101, the microcontroller signals the control valve to release fluid from the chamber, reducing pressure and allowing the piston to retract smoothly. The seals and gaskets ensure a leak-proof operation, while the fluid reservoir maintains a consistent supply of hydraulic fluid. This controlled movement enables precise and stable adjustments in patient positioning (as shown in fig. 2).

[0051] If the imaging unit 104 detects unusual body movements or an abnormal posture of the patient, indicating a potential seizure episode or risk of falling, the microcontroller processes the captured image data and activates a hinged flap 117 attached to the side of the platform 101 via a motorized hinge unit controlled by the microcontroller. Upon detecting the need for safety intervention, the microcontroller sends an electrical signal to a DC motor coupled with the hinge unit, which rotates and moves the flap 117 from a lowered position to an upright position, thereby forming a protective barrier around the patient. The motor operates by converting electrical energy into mechanical rotation, which in turn actuates the hinge unit to move the flap 117. If the imaging unit 104 no longer detects abnormal movements, or if the healthcare personnel provides an input command to lower the flap 117, the microcontroller sends a reverse electrical signal to the motor, which rotates in the opposite direction, allowing the flap 117 to return to its original position.

[0052] Multiple second EMG sensors 118 are placed at various points on the platform 101 to detect electrical signals generated by muscle activity during sleep, allowing continuous monitoring of involuntary muscle movements, tension, or relaxation. The second EMG sensors 118 operates in the same manner as that of the first EMG sensors 114 disclosed above and the second EMG sensors 118 work in coordination with the first EMG sensors 114 positioned near the patient's jaw, which analyze muscle activity involved in speech production, and EEG sensors 107 that track brainwave patterns. The microcontroller processes data from all these EEG sensors 107 and first EMG sensors 114, in real time to assess the patient’s physical and mental state during sleep.

[0053] By analyzing variations in muscle activity and brainwave fluctuations, the microcontroller detect patterns related to anxiety, physical discomfort, or underlying health conditions such as restless leg syndrome, sleep apnea, or seizure onset. If abnormal patterns are detected, the microcontroller generate alerts for healthcare personnel via the computing unit, allowing for timely medical intervention or necessary adjustments to the patient’s positioning for improved comfort and safety.

[0054] The device is associated with a battery for providing the required power to the electronically and electrically operated components including the microcontroller, electrically powered sensors, motorized components and alike of the device. The battery within the device is preferably a lithium-ion-battery which is a rechargeable battery and recharges by deriving the required power from an external power source. The derived power is further stored in form of chemical energy within the battery, which when required by the components of the device derive the required energy in the form of electric current for ensuring smooth and proper functioning of the device.

[0055] The present invention works best in the following manner, where the platform 101 as disclosed in the invention is installed inside the healthcare configuration to accommodate the patient over the platform 101. The user-interface inbuilt in the computing unit is accessed by the concerned healthcare personnel to input the patient’s personal and medical information into the user-profile, which is stored in the database linked with the microcontroller. The imaging unit 104 captures and processes multiple images of the patient to detect body dimensions, allowing the microcontroller to process the detected dimensions and actuate the plates 201 to extend or retract while synchronously adjusting motorized hinges to tilt the plates 201 for customized patient positioning. The head cover 105 attached at the head side of the platform 101 via the extendable member integrates multiple electrodes 106 linked with the EEG sensor 107 that monitors muscle activity and detects early seizure signs. The air-inflated cushioned padding 108 fabricated over the platform 101 dynamically adjusts pressure based on real-time EEG sensor 107 data for personalized comfort. The PPG sensor 109 continuously monitors breathing patterns, and upon detecting a stoppage, the microcontroller triggers the CPR sequence 110 through the telescopic pusher that applies controlled compression to restore normal respiratory function. The touch-enabled display screen 112, supported by the pneumatic rod 111, displays visual content to calm the patient and aid cognitive recovery post-seizure. The curved-shaped flaps 113 on the head cover 105 house the first EMG sensors 114 positioned near the jaw, detecting electrical activity in speech muscles, while the inbuilt microphone 102 captures speech to provide insights into speech disorders. The collapsible pole 115 with the eye-blink sensor 116 tracks the patient’s visual engagement with objects, and the microcontroller analyzes EEG sensor 107 data to assess emotional attachment or interest. The motorized slider 202 and hydraulic actuator 203 adjust the platform’s 101 position based on commands, ensuring smooth transitions in patient care.

[0056] Although the field of the invention has been described herein with limited reference to specific embodiments, this description is not meant to be construed in a limiting sense. Various modifications of the disclosed embodiments, as well as alternate embodiments of the invention, will become apparent to persons skilled in the art upon reference to the description of the invention. , Claims:1) A patient monitoring and support device for personalized care, comprising:

i) a rectangular platform 101 constructed with plurality of extendable plates 201 adapted to be installed inside a health-care configuration for accommodating a patient over said platform 101, wherein said platform 101 is installed with four perpendicularly installed supporting legs 103 attached underneath said platform 101;
ii) a user-interface inbuilt in a computing unit accessed by a concerned healthcare personnel to provide personal and medical information of said patient as input in a user-profile of said patient, that is stored in a database linked with an inbuilt microcontroller;
iii) an artificial intelligence-based imaging unit 104 configured on said platform 101 and paired with a processor for capturing and processing multiple images of said patient, respectively to detect body dimensions of said patient, wherein a microcontroller linked with said imaging unit 104 processes said detected dimensions and actuates said plates 201 to extend/retract and synchronously actuates plurality of motorized hinges configured between said plates 201 for tilting said plates 201 towards/away from each other, thereby allowing for customized adjustments of patient’s torso, legs, and entire body to accommodate various medical needs;
iv) a head cover 105 attached at head side of said platform 101 via an extendable member, inner portion of said head cover 105 is integrated with multiple electrodes 106, each attached with said head cover 105 via extendable bar coupled with hinge joints, wherein an EEG (Electroencephalography) sensor 107 is integrated with free-ends of said bar, configured to monitor muscle activity and detect early signs of a potential seizure by analyzing changes in brainwave patterns;
v) multiple air inflated cushioned padding 108 fabricated over said platform 101 that allows for adjustment of pressure in different sections of the platform 101, wherein said air-inflating cushion padding 108 is controlled by an air-inflating unit installed on said platform 101, which dynamically adjusts the air pressure in real-time based on EEG sensor 107 data to provide a personalized level of comfort for the patient, creating a customized and responsive sleep environment for the patient;
vi) a PPG (Photoplethysmography) sensor 109 integrated into said platform 101 that continuously monitors patient’s breathing patterns, to determine if breathing has stopped, said microcontroller triggers an automatic CPR sequence 110 to assist in reviving said patient by restoring normal respiratory function;
vii) a pneumatic rod 111 mounted on the side of said platform 101, providing dynamic support for a touch enabled display screen 112 positioned at a specific distance from patient’s face, wherein said display screen 112 displays visual content that are designed to help calm said patient and divert their mind from any confusion or disorientation post-seizure to help patient recall past events and promote cognitive recovery by grounding them in familiar memories;
viii) plurality of curved-shaped flaps 113 attached to both bottom ends of said head cover 105, each housing a first EMG (Electromyography) sensor 114 positioned near the patient's jaw, configured to measure electrical activity generated by muscles involved in speech production, wherein a inbuilt microphone 102 captures sound of patient’s speech, enabling real-time monitoring of both muscle activity and vocalization, and said microcontroller correlates the detected muscle tension with speech analysis, providing insights into patient's speech production and detecting early signs of speech disorders based on real-time speech and muscle data; and
ix) a collapsible pole 115 vertically attached to side of said platform 101, positioned at a specific distance from patient's eyes, an eye-blink sensor 116 is integrated at the end of the collapsible pole 115 to detect where patient is focusing their gaze to track visual engagement with objects or stimuli in the environment, wherein said microcontroller analyzes data from said EEG sensors 107 to assess patient’s emotional attachment or interest in an object based on the fluctuations of brain activity.

2) The device as claimed in claim 1, wherein a motorized slider 202 positioned on opposite sides of said platform 101, and a hydraulic actuator 203 is installed on said slider 202, with bottom end of actuator 203 positioned at ground, said hydraulic actuator 203 provides necessary force to lift or lower parts of said platform 101 to facilitate smooth and reliable transitions in patient positioning.

3) The device as claimed in claim 1, wherein a hinged flap 117 is attached to the side of said platform 101, said flap 117 is configured to create a safety barrier to prevent patient from falling off said platform 101 during a seizure or in other situations, ensuring safety and security during medical interventions.

4) The device as claimed in claim 1, wherein said CPR sequence 110 includes the activation of a telescopic pusher fabricated with a cushioned layer attached to side of the platform 101 via a supporting link, which applies controlled compression to chest area of the patient to assist in restarting breathing following a seizure event.

5) The device as claimed in claim 1, wherein said microcontroller sends a real-time alert to authorized personnel’s computing unit upon detection of emotional attachment or interest in an object, allowing caregivers to monitor the patient’s emotional well-being.

6) The device as claimed in claim 1, wherein said display screen 112 is configured to display words or alphabets to engage patient's cognitive faculties, said EMG sensors 114 track patient’s brain activity in response to the displayed content, detecting whether said patient is paying heightened attention or demonstrating cognitive engagement.

7) The device as claimed in claim 1, wherein multiple second EMG sensors 118 are strategically placed at various points on said platform 101 to monitor muscle activity of patient during sleep, said first EMG sensors 114 and EEG sensors 107 work together to provide a comprehensive understanding of the patient’s physical and mental state during sleep, enabling the detection of patterns related to anxiety, physical discomfort, or health concerns.

8) The device as claimed in claim 1, wherein a battery is associated with said device for supplying power to electrical and electronically operated components associated with said device.