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Seizure Detection And Management Device

Abstract: A seizure detection and management device, comprising a wearable body 101, multiple adjustable straps 102 are rolled on rollers 103 which automatically unroll the straps 102 for a secure and comfortable fit, a vertical extendable rod 104 integrated with a ball screw arrangement 105 and supporting a mouth froth unit 106, which includes an AI camera 107 that monitor the user’s facial expressions for seizure symptoms, a suction nozzle 108 remove froth from the user’s mouth during seizures, a C-shaped clamp 109 stabilize the user’s mouth and prevent injury upon detection of jaw clenching, a medication dispensing nozzle 110 deliver seizure-controlling medication directly into the user’s mouth after froth removal, a L-shaped telescopic rod 112 position on either side of the user’s neck upon detection of a seizure, a hood-like wearable structure 113 cover a user’s head, an air-inflatable cartridge 115 rapidly inflate upon detection of a fall-risk posture.

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Patent Information

Application #
Filing Date
30 May 2025
Publication Number
25/2025
Publication Type
INA
Invention Field
BIO-MEDICAL ENGINEERING
Status
Email
Parent Application

Applicants

Marwadi University
Rajkot - Morbi Road, Rajkot 360003 Gujarat, India.

Inventors

1. Simrin Fathima Syed
Department of Computer Science and Engineering, Artificial Intelligence, Machine Learning, Data Science, Marwadi University, Rajkot - Morbi Road, Rajkot 360003 Gujarat, India.
2. Dr. Madhu Shukla
Head of Department, Department of Computer Department of Computer Science and Engineering, Artificial Intelligence, Machine Learning, Data Science, Marwadi University, Rajkot - Morbi Road, Rajkot 360003 Gujarat, India.
3. Dr. Nishant Kothari
Head of Department, Department of Electrical Engineering, Marwadi University, Rajkot - Morbi Road, Rajkot 360003 Gujarat, India.
4. Vipul Ladva
Department of Computer Science and Engineering, Artificial Intelligence, Machine Learning, Data Science, Marwadi University, Rajkot - Morbi Road, Rajkot 360003 Gujarat, India.
5. Akshay Ranpariya
Department of Computer Science and Engineering, Artificial Intelligence, Machine Learning, Data Science, Marwadi University, Rajkot - Morbi Road, Rajkot 360003 Gujarat, India.
6. Neel Dholakia
Department of Computer Science and Engineering, Artificial Intelligence, Machine Learning, Data Science, Marwadi University, Rajkot - Morbi Road, Rajkot 360003 Gujarat, India.

Specification

Description:FIELD OF THE INVENTION

[0001] The present invention relates to a seizure detection and management device that is developed for monitoring physiological and neurological indicators, detecting seizure onset promptly, and providing immediate physical assistance and therapeutic intervention to mitigate the effects of seizures while ensuring user safety.

BACKGROUND OF THE INVENTION

[0002] Many people who experience seizures rely on family members or caregivers to watch over them and provide help when a seizure occurs. Usually, this means someone needs to be nearby all the time, which might be stressful and isn’t always possible. In the past, equipment’s like heavy helmets or simple alert bracelets have been used to try to keep people safe, but these don’t always work well. They often fail to tell when a seizure is starting or help during the seizure itself. For example, they don’t remove froth from the mouth, support the head, or deliver medicine when needed. Because of this, many people face risks of injury or serious complications during seizures. This creates a need for better solutions that continuously monitor and provide real-time assistance without depending entirely on someone else’s presence.

[0003] Conventionally, seizure detection and management relied primarily on manual observation by caregivers or medical personnel, where visual monitoring was the sole method of identifying seizure onset. To aid in this, wearable equipment’s such as simple alert bracelets and helmets were used. As these early helmets protect the head during convulsions but were often bulky, uncomfortable, and impractical for continuous daily use. Alert bracelets and pendants with buttons allowed users or caregivers to send distress signals; however, they required conscious activation, which is often impossible during seizures. So, seizure alarms were used as these performs based on motion detection, such as accelerometers, to identify abnormal movements indicating seizures. While an improvement, this equipment’s frequently produced false alarms from everyday movements, limiting their reliability. Moreover, this equipment’s generally lacked the ability to provide direct assistance to the user during seizures, such as clearing the airway or administering medication.

[0004] US11020042B2 discloses about an invention that includes example aspects of a collector for a seizure detection device, a seizure detection device, and a method of detecting a seizure are disclosed. The collector for a seizure detection device can comprise a collector material configured to collect volatile organic compounds given off from a patient's skin; a wrapping configured to isolate the collector material from an external environment; a heater comprising a heating element, the heating element configured to emit a thermal pulse to desorb the volatile organic compounds from the collector material; and a mesh layer configured to prevent the collector material from contacting the patient's skin, wherein the collector material is received between the wrapping and the mesh layer.

[0005] WO2024144253A1 discloses about an invention that includes a seizure management system disclosed herein: detects seizure detection and prediction results from biological signals of a user by using a common seizure AI model that compares the similarity with a common seizure template composed of biological signals collected from a plurality of users secured in advance; accumulates user data, including the biological signals of the user and the seizure detection and prediction results, for a first period; updates the common seizure template and the common seizure AI model by using the accumulated user data; constructs a personal seizure AI model by using the accumulated user data; and selects a model optimized for the user from among the updated common seizure AI model or the personal seizure AI model.

[0006] Conventionally, many devices have been developed that are capable of detecting and managing seizure. However, these devices are incapable of delivering timely therapeutic responses including clearing airway obstructions and administering medication to the patient. Additionally, these existing devices fail to offer any protective cushioning to mitigate injuries caused by falls resulting from seizure-related loss of balance, significantly compromising user safety.

[0007] In order to overcome the aforementioned drawbacks, there exists a need in the art to develop a device that is capable of delivering timely therapeutic responses to manage seizure symptoms safely and effectively, including clearing airway obstructions and administering medication. In addition, the developed device also offers protective cushioning to reduce harm from falls detected during seizure-related loss of balance.

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 is capable of providing a wearable means that adapts securely and comfortably to individual body dimensions for enabling real-time detection of seizure-related physiological and neurological signals to ensure early and accurate identification of seizure events.

[0010] Another object of the present invention is to develop a device that is capable of offering supportive means to minimize injury risks associated with seizures, such as stabilizing vulnerable body parts and cushioning potential falls.

[0011] Yet another object of the present invention is to develop a device that support remote monitoring and alerting of caregivers, allowing timely response and management without being physically present.

[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 seizure detection and management device that facilitate a wearable means that fits snugly and comfortably to the user's body measurements, in view of monitoring physiological and neurological signals to detect seizures quickly and accurately thereby enhancing timely medical intervention.

[0014] According to an embodiment of the present invention, a seizure detection and management device, comprises of a wearable body configured to be worn by a user, multiple adjustable straps are provided with the body that are rolled on rollers and each strap includes a laser sensor configured to determine user dimensions and automatically unroll the straps for a secure and comfortable fit, an Electro dermal Activity (EDA) sensor and an Electromyography (EMG) mounted at the back section of the body configured to continuously measure skin conductance changes sensor to detect muscle electrical activity patterns indicative of seizures, a vertical extendable rod attached to the front section of the vest, integrated with a ball screw arrangement and supporting a mouth froth unit, the mouth froth unit includes an AI camera configured to monitor the user’s facial expressions for seizure symptoms such as frothing and jaw clenching, the AI camera analyzes facial expressions and triggers the ball screw arrangement to position the mouth froth unit precisely in front of the user’s mouth during seizure events, a suction nozzle automatically activated to remove froth from the user’s mouth during seizures, a C-shaped clamp with cushioned padding configured to stabilize the user’s mouth and prevent injury upon detection of jaw clenching, a medication dispensing nozzle configured to deliver seizure-controlling medication directly into the user’s mouth after froth removal, the medication dispensing nozzle delivers a precise dosage of seizure-controlling medication only after the suction nozzle has cleared mouth froth, ensuring safe administration.

[0015] According to another embodiment of the present invention, the device further includes a pair of C-shaped plates equipped with cushioned padding positioned on opposite sides of the body, each via a L-shaped telescopic rod configured to position on either side of the user’s neck upon detection of a seizure, a Force-Sensitive Resistors (FSRs) integrated with the plates to detect pressure or strain on the user’s neck muscles caused by seizure activity, a Peltier unit integrated with a temperature sensor and arranged in conjunction with the plates to provide heat or cold therapy through the cushioned padding, a hood-like wearable structure attached with the apex portion of the body configured to cover a user’s head and integrated with multiple Electroencephalogram (EEG) sensors to detect unusual brain signals indicative of seizure onset by tracking brainwave frequencies, an air-inflatable cartridge arranged at the bottom section of the vest, configured to rapidly inflate upon detection of a fall-risk posture by an integrated accelerometer and gyroscope, thereby cushioning the user to reduce injury during falls, a vibrating unit is integrated with the body configured to provide haptic feedback with varying intensity levels to alert the user of different conditions including medication reminders and early seizure warnings, a user-interface is inbuilt in a computing unit accessed by a concerned caretaker of the user, providing real-time monitoring, alert notifications to caregivers upon seizure or fall detection, secure storage of historical sensor data, medication scheduling and a battery is 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 a perspective view of a seizure detection and management device.

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 seizure detection and management device that enable a wearable means designed to adjust securely to each user's unique size, in view of providing real-time tracking of body and brain activity for early and precise seizure detection, thus improving patient safety and response.

[0022] Referring to Figure 1, a perspective view of a seizure detection and management device is illustrated, comprising a wearable body 101 configured to be worn by a user, multiple adjustable straps 102 are provided with the body 101 that are rolled on rollers 103, a vertical extendable rod 104 attached to the front section of the vest, integrated with a ball screw arrangement 105 and supporting a mouth froth unit 106, the mouth froth unit 106 includes an AI camera 107, a suction nozzle 108, a C-shaped clamp 109.

[0023] Figure 1 further illustrates a medication dispensing nozzle 110, a pair of C-shaped plates 111 positioned on opposite sides of the body 101, each via a L-shaped telescopic rod 112, a hood-like wearable structure 113 attached with the apex portion of the body 101, and integrated with multiple Electroencephalogram (EEG) sensors 114, an air-inflatable cartridge 115 arranged at the bottom section of the vest, a Force-Sensitive Resistors (FSRs) 116 integrated with the plates 111.

[0024] The device disclosed herein a wearable body 101 is designed to be worn by a user and incorporates multiple adjustable straps 102 integrated with rollers 103. Each strap 102 is equipped with a laser sensor configured to measure the user’s physical dimensions accurately. Upon activation, the sensor detects the relevant body measurements, which triggers the automatic unrolling of the straps 102 to achieve a secure and comfortable fit tailored to the user. The rollers 103 facilitate smooth extension and retraction of the straps 102, ensuring ease of adjustment and consistent application of tension as required for optimal wearability.

[0025] The laser sensor emits a focused beam of light towards the user’s body surface. The sensor then detects the reflected light and measures the time taken for the light to return or the phase shift in the reflected signal. Based on these measurements, the sensor calculates the distance between the sensor and the user’s body at various points. This distance data is processed to determine the user’s body dimensions in real-time. The sensor continuously updates these measurements to enable dynamic adjustment of the straps 102 for an accurate and comfortable fit.

[0026] Simultaneously, the rollers 103 function by rotating around their central axis to extend or retract the straps 102. When the sensor signals the need for adjustment, the rollers 103 rotate in a controlled manner to unroll the strap 102 incrementally. Conversely, when tightening is required, the rollers 103 rotate in the opposite direction to roll the strap 102 back, reducing its length. This rotation is governed by a motor that provides the necessary torque to move the strap 102 smoothly, allowing for precise adjustment to fit varying user dimensions without manual intervention.

[0027] An Electro Dermal Activity (EDA) sensor and an Electromyography (EMG) sensor are mounted on the back portion of the wearable body 101. These sensors are configured to continuously monitor physiological parameters relevant to seizure detection. The EDA sensor measures changes in skin conductance, which reflect variations in sweat gland activity associated with autonomic nervous system responses. Simultaneously, the EMG sensor captures electrical signals generated by muscle activity. Data from both sensors are processed in real-time to detect specific patterns indicative of seizure onset, thereby facilitating timely identification and intervention.

[0028] The EDA sensor applies a low, constant voltage across two electrodes placed on the skin surface. The sensor measures the electrical conductance, which varies based on the moisture level caused by sweat gland activity. When sweat secretion increases due to physiological arousal, skin conductance rises, resulting in a measurable change in the sensor’s output signal. This continuous monitoring allows detection of fluctuations that may correlate with neurological events, enabling real-time assessment of skin conductance changes.

[0029] The EMG sensor detects electrical potentials generated by muscle fibres during contraction. Electrodes placed on the skin surface capture these bioelectric signals as voltage fluctuations. The sensor amplifies and filters the raw signals to isolate muscle activity patterns. These signals are then digitized and analyzed to identify characteristic electrical activity associated with muscle contractions. Continuous monitoring enables the detection of abnormal muscle activity, such as spasms or seizures, by recognizing specific signal patterns indicative of such events.

[0030] A vertical extendable rod 104 is affixed to the front section of the wearable vest, incorporating a ball screw arrangement 105 to enable controlled extension and retraction. This rod 104 supports a mouth froth unit 106 that includes an AI camera 107 specifically configured to monitor the user’s facial expressions. The AI camera 107 continuously captures and processes visual data to identify seizure-related symptoms such as frothing at the mouth and jaw clenching.

[0031] The rod 104 is pneumatically actuated, wherein the pneumatic arrangement of the rod 104 comprises of a cylinder incorporated with an air piston and the air compressor, wherein the compressor controls discharging of compressed air into the cylinder via air valves which further leads to the extension/retraction of the piston. The piston is attached to the telescopic rod 104, wherein the extension/retraction of the piston corresponds to the extension/retraction of the rod 104. The actuated compressor allows extension of the rod 104 to position the mouth froth unit 106 in an appropriate position.

[0032] The camera 107 disclosed herein comprises of an image capturing arrangement including a set of lenses that captures multiple images of the user’s face and the captured images are stored within memory of the camera 107 in form of an optical data. The camera 107 also comprises of the processor which processes the captured images. This pre-processing involves tasks such as noise reduction, image stabilization, or color correction. The processed data is fed into AI protocols for analysis which utilizes machine learning techniques, such as deep learning neural networks, to extract meaningful information from the visual data which are processed by the microcontroller to monitor the user’s facial expressions for seizure symptoms such as frothing and jaw clenching.

[0033] Upon detection of seizure-related facial expressions by the AI camera 107, a signal is transmitted to the microcontroller which in turn actuates the ball screw arrangement 105. The ball screw arrangement 105 is configured to extend or retract the vertical rod 104, thereby positioning the mouth froth unit 106 directly in front of the user’s mouth. This precise alignment facilitates effective operation of the mouth froth unit 106 during seizure events. The microcontroller continuously monitors and adjusts the ball screw movement to maintain optimal positioning throughout the seizure event.

[0034] The ball screw arrangement 105 comprises a threaded shaft and a nut with recirculating ball bearings positioned between them. When the motor connected to the shaft rotates, the threaded shaft converts rotary motion into linear motion. The recirculating balls reduce friction, allowing smooth and precise movement of the nut along the shaft. This linear displacement moves the attached vertical rod 104 upwards or downwards. The direction and distance of movement are controlled by the microcontroller based on signals received from the AI camera 107. This enables accurate positioning of any attached unit along the axis of the ball screw.

[0035] A suction nozzle 108 is automatically actuated upon detection of seizure events. Once activated, the suction nozzle 108 initiates to remove froth from the user’s mouth, thereby preventing airway obstruction and potential choking hazards. The microcontroller controls the activation timing and duration based on real-time physiological data to ensure effective clearance. The nozzle 108 is positioned by the ball screw arrangement 105 to ensure optimal contact with the user’s mouth. This automated operation enhances user safety by maintaining clear airways without requiring manual intervention.

[0036] The suction nozzle 108 operates via a vacuum pump that generates negative pressure within the nozzle 108 conduit. When activated by the microcontroller, the pump initiates airflow that draws fluids and froth from the user’s mouth into a collection chamber. A valve assembly controls the suction flow, opening to allow froth removal and closing to prevent backflow. The nozzle 108 tip is designed to create a sealed environment against the mouth to maximize suction efficiency. The microcontroller automatically regulates suction strength and duration for ensuring safe and effective clearing of froth during seizure events.

[0037] A C-shaped clamp 109, equipped with cushioned padding, is designed to engage automatically upon detection of jaw clenching during a seizure event. Upon activation, the clamp 109 positions itself securely around the user’s mouth area, providing stabilization to minimize involuntary movements. The cushioned padding serves to distribute pressure evenly and prevent soft tissue injury or bruising. The clamp 109 operation is controlled by the microcontroller based on real-time physiological data, ensuring timely deployment and gentle but firm stabilization. This aims to reduce the risk of oral trauma and safeguard the user during seizure episodes.

[0038] A medication dispensing nozzle 110 is designed to administer seizure-controlling medication directly into the user’s mouth following the effective removal of froth by the suction nozzle 108. The dispensing unit is configured to release a precise, controlled dosage only after confirmation that the oral cavity is cleared of obstructions, thereby ensuring safe and accurate delivery of medication. This sequencing is managed by the microcontroller, which receives status input from the suction nozzle 108 and controls the dispensing nozzle 110 accordingly. The design prioritizes safety and efficacy in medication administration during seizure events to mitigate risks of aspiration or improper dosing.

[0039] The medication dispensing nozzle 110 remains in standby mode until the microcontroller receives confirmation from the suction nozzle 108 indicating complete clearance of mouth froth. Upon receiving the signal, the microcontroller activates the nozzle 110 release arrangement, which dispenses a pre-measured quantity of medication. The nozzle 110 employs a controlled valve or pump to regulate flow, ensuring the exact dosage is administered directly into the oral cavity. Once dispensing is complete, the nozzle 110 returns to its idle state, awaiting further instructions. This sequential operation prevents medication delivery when the mouth is obstructed.

[0040] A pair of C-shaped plates 111, each fitted with cushioned padding, positioned on opposite sides of the wearable body 101. Each plate 111is mounted via an L-shaped telescopic rod 112, enabling precise adjustment and placement on either side of the user’s neck. Upon detection of seizure activity, the microcontroller actuates the rod 112 to position the plates 111 securely and comfortably against the neck area. This configuration is designed to provide supportive stabilization during seizures, minimizing potential injury by restricting excessive neck movement while maintaining user comfort.

[0041] The link is pneumatically actuated, wherein the pneumatic arrangement of the rod 112 comprises of a cylinder incorporated with an air piston and the air compressor, wherein the compressor controls discharging of compressed air into the cylinder via air valves which further leads to the extension/retraction of the piston. The piston is attached to the telescopic rod 112, wherein the extension/retraction of the piston corresponds to the extension/retraction of the rod 112. The actuated compressor allows extension of the rod 112 to position the plates 111 on either side of the user’s neck.

[0042] The plates 111 are equipped with Force-Sensitive Resistors (FSRs) 116 integrated to detect pressure or strain exerted on the user’s neck muscles, indicative of seizure-related activity. Upon sensing abnormal force levels, the microcontroller processes this input to assess seizure severity and triggers responsive measures accordingly. This resistor 116 integration enables continuous, real-time monitoring of muscular strain, facilitating timely interventions while ensuring user safety without imposing undue discomfort or restriction.

[0043] When pressure is applied to the sensing area of the resistor 116, the resistance value decreases proportionally to the force exerted. This change in resistance is converted into an electrical signal by the connected circuit. The Force-Sensitive Resistors (FSRs) 116 continuously measures varying pressure levels, allowing the microcontroller to monitor strain intensity.

[0044] Based on continuous real-time signals received from the Force-Sensitive Resistors (FSRs) 116, the microcontroller processes and evaluates the pressure or strain data on the user’s neck muscles. Upon determining seizure-related muscle activity, the microcontroller commands the activation of a Peltier unit integrated with the cushioned plates 111. This unit operates in coordination with a temperature sensor to deliver precise thermal therapy, either heating or cooling, through the cushioning to alleviate discomfort or manage muscle spasms. The microcontroller dynamically adjusts the temperature output to maintain optimal therapeutic conditions as monitored by the temperature sensor.

[0045] The temperature sensor continuously measures the temperature at the cushioned surface in contact with the user. The sensor generates an electrical signal proportional to the sensed temperature. This signal is transmitted to the microcontroller, which interprets the data to assess whether the current temperature falls within a predefined therapeutic range. If the temperature deviates from the set range, the microcontroller adjusts the activation level of the Peltier unit accordingly.

[0046] The Peltier unit consists of two semiconductor plates, known as Peltier plates, connected in series and sandwiched between two ceramic plates. When an electric current is applied to the Peltier unit, one side of the unit absorbs heat from its surroundings, while the other side releases heat, thereby provide heat or cold therapy through the cushioned padding.

[0047] A hood-like wearable structure 113 is affixed to the uppermost portion of the wearable body 101, designed to envelop the user’s head securely. Integrated within this structure 113 are multiple Electroencephalogram (EEG) sensors 114 configured to continuously monitor brain activity. These sensors 114 detect specific neurological patterns by tracking electrical signals generated by brainwave frequencies. The data collected enables timely identification of abnormal brain signals that precede or indicate the onset of seizures, thereby facilitating early intervention and improved management of seizure occurrences.

[0048] The EEG sensors 114 detect electrical activity produced by neuronal firing within the brain. Each sensor 114 contains conductive electrodes placed on the scalp that pick up voltage fluctuations caused by ionic currents in brain neurons. These electrical signals are amplified and digitized for processing. The sensors 114 transmit real-time brainwave data to the processing unit, which analyzes the frequency, amplitude, and patterns of the signals. Deviations from normal brainwave activity indicative of seizure onset are identified based on pre-set thresholds, triggering alerts or activating responsive means.

[0049] An air-inflatable cartridge 115 positioned at the lower section of the wearable vest, designed to rapidly inflate in response to fall-risk detection. This inflation is triggered by signals received from an accelerometer and a gyroscope, which continuously monitor the user's posture and movement. Upon identifying a fall-risk posture, the microcontroller activates an inflating unit to swiftly expand the cartridge 115, thereby providing cushioning to the user. This cushioning effect aims to mitigate the impact force during a fall, reducing the likelihood and severity of injury.

[0050] The accelerometer continuously measures linear acceleration forces acting on the vest along multiple axes. When the vest experiences sudden changes in velocity or direction, the accelerometer detects these shifts and converts the mechanical motion into electrical signals. These signals are processed to determine if the user's movement corresponds to a fall-risk posture by comparing with predefined motion thresholds. If the thresholds are exceeded, the accelerometer transmits an alert to the microcontroller to initiate the inflation sequence.

[0051] The gyroscope measures angular velocity or rotational movement of the vest along different axes. The gyroscope detects changes in orientation or tilt of the user’s body. These rotational data are converted into electrical signals that are continuously analyzed by the control system. When abnormal or rapid rotations indicative of a fall-risk posture are detected, the gyroscope sends a corresponding signal to the microcontroller, which then triggers activation of the inflating unit to deploy cushioning.

[0052] Upon receiving a trigger signal from the microcontroller, the inflating unit opens a valve connected to a compressed gas source. This valve allows the gas to flow rapidly into the inflatable cartridge 115, causing it to expand quickly. The inflating unit controls the timing and duration of the valve opening to ensure that the cartridge 115 inflates fully within milliseconds. Once the cartridge 115 is fully inflated, the valve closes to maintain the inflated state, providing immediate cushioning to absorb impact during a fall.

[0053] A vibrating unit is integrated with the body 101 designed to deliver haptic feedback to the user. This unit is capable of generating vibrations at multiple intensity levels, each corresponding to specific alert conditions such as reminders for medication intake or early warnings of seizure onset. The varying intensities allow for differentiation between alert types, ensuring the user recognize and respond appropriately to each signal.

[0054] Upon receiving a control signal from the microcontroller, the vibrating unit activates an internal motor equipped with an unbalanced mass. As the motor rotates, the unbalanced mass creates centrifugal force, causing the body 101 to vibrate. The vibration intensity is modulated by varying the motor's speed or duty cycle, enabling different levels of feedback. When the control signal ceases, the motor stops, halting the vibration. This operation cycle is repeated as needed to convey specific alerts or notifications to the user.

[0055] Further a user-interface embedded within a computing unit, which authorized caregivers access to monitor the user continuously in real time. Upon detection of seizures or falls, immediate alerts are generated and transmitted to caregivers to enable swift response. The interface also securely stores historical sensor data, maintaining user privacy and data integrity. Additionally, the interface provides means for managing and scheduling medication, assisting caregivers in overseeing treatment adherence. This comprehensive setup ensures caregivers have timely, remote access to critical information, thereby enhancing the safety and well-being of the user.

[0056] Moreover, a battery is associated with the device for powering up electrical and electronically operated components associated with the device and supplying a voltage to the components. The battery used herein is preferably a Lithium-ion battery which is a rechargeable unit that demands power supply after getting drained. The battery stores the electric current derived from an external source in the form of chemical energy, which when required by the electronic component of the device, derives the required power from the battery for proper functioning of the device.

[0057] The present invention works best in the following manner, where the wearable body 101 as disclosed in the invention is configured to be worn by the user. Multiple adjustable straps 102 are provided with the body 101 that are rolled on rollers 103 and each strap 102 includes the laser sensor configured to determine user dimensions and automatically unroll the straps 102 for the secure and comfortable fit. The Electro Dermal Activity (EDA) sensor and the Electromyography (EMG), continuously measure skin conductance changes sensor to detect muscle electrical activity patterns indicative of seizures. The vertical extendable rod 104 attached to the front section of the vest, integrated with the ball screw arrangement 105 and supporting the mouth froth unit 106. The mouth froth unit 106 includes the AI camera 107 configured to monitor the user’s facial expressions for seizure symptoms such as frothing and jaw clenching. Also, the AI camera 107 analyzes facial expressions and triggers the ball screw arrangement 105 to position the mouth froth unit 106 precisely in front of the user’s mouth during seizure events. The suction nozzle 108 automatically activated to remove froth from the user’s mouth during seizures. The C-shaped clamp 109 stabilizes the user’s mouth and prevent injury upon detection of jaw clenching. Thereafter the medication dispensing nozzle 110 delivers seizure-controlling medication directly into the user’s mouth after froth removal. And the medication dispensing nozzle 110 delivers the precise dosage of seizure-controlling medication only after the suction nozzle 108 has cleared mouth froth, thereby ensuring safe administration. The pair of C-shaped plates 111 equipped with cushioned padding positioned on opposite sides of the body 101, each via the L-shaped telescopic rod 112 that position on either side of the user’s neck upon detection of the seizure.

[0058] In continuation, the Force-Sensitive Resistors (FSRs) 116 detect pressure or strain on the user’s neck muscles caused by seizure activity. Based on real-time data from the FSRs, the Peltier unit integrated with the temperature sensor provide heat or cold therapy through the cushioned padding. The hood-like wearable structure 113 covers the user’s head and integrated with multiple Electroencephalogram (EEG) sensors 114 to detect unusual brain signals indicative of seizure onset by tracking brainwave frequencies. The air-inflatable cartridge 115 arranged at the bottom section of the vest, configured to rapidly inflate upon detection of the fall-risk posture by the integrated accelerometer and gyroscope, thereby cushioning the user to reduce injury during falls. Further the vibrating unit provide haptic feedback with varying intensity levels to alert the user of different conditions including medication reminders and early seizure warnings. Furthermore, the user-interface is inbuilt in the computing unit accessed by the concerned caretaker of the user, providing real-time monitoring, alert notifications to caregivers upon seizure or fall detection, secure storage of historical sensor data, medication scheduling.

[0059] 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 seizure detection and management device, comprising:

i) a wearable body 101 configured to be worn by a user, wherein multiple adjustable straps 102 are provided with the body 101 that are rolled on rollers 103 and each strap 102 includes a laser sensor configured to determine user dimensions and automatically unroll the straps 102 for a secure and comfortable fit;
ii) an Electro Dermal Activity (EDA) sensor and an Electromyography (EMG) mounted at the back section of the body 101 configured to continuously measure skin conductance changes to detect muscle electrical activity patterns indicative of seizures;
iii) a vertical extendable rod 104 attached to the front section of the vest, integrated with a ball screw arrangement 105 and supporting a mouth froth unit 106, wherein the mouth froth unit 106 includes:
a) an AI camera 107 configured to monitor the user’s facial expressions for seizure symptoms such as frothing and jaw clenching,
b) a suction nozzle 108 automatically activated to remove froth from the user’s mouth during seizures,
c) a C-shaped clamp 109 with cushioned padding configured to stabilize the user’s mouth and prevent injury upon detection of jaw clenching, and
d) a medication dispensing nozzle 110 configured to deliver seizure-controlling medication directly into the user’s mouth after froth removal.
iv) a pair of C-shaped plates 111 equipped with cushioned padding positioned on opposite sides of the body 101, each via a L-shaped telescopic rod 112 configured to position on either side of the user’s neck upon detection of a seizure, wherein a Peltier unit integrated with a temperature sensor and arranged in conjunction with the plates 111 to provide heat or cold therapy through the cushioned padding;
v) a hood-like wearable structure 113 attached with the apex portion of the body 101 configured to cover a user’s head and integrated with multiple Electroencephalogram (EEG) sensors 114 to detect unusual brain signals indicative of seizure onset by tracking brainwave frequencies; and
vi) an air-inflatable cartridge 115 arranged at the bottom section of the vest, configured to rapidly inflate upon detection of a fall-risk posture by an integrated accelerometer and gyroscope, thereby cushioning the user to reduce injury during falls.

2) The device as claimed in claim 1, wherein a Force-Sensitive Resistors (FSRs) 116 integrated with the plates 111 to detect pressure or strain on the user’s neck muscles caused by seizure activity, wherein the microcontroller is configured to activate the Peltier unit based on real-time data from the FSRs.

3) The device as claimed in claim 1, wherein a vibrating unit is integrated with the body 101 configured to provide haptic feedback with varying intensity levels to alert the user of different conditions including medication reminders and early seizure warnings.

4) The device as claimed in claim 1, wherein the AI camera 107 analyzes facial expressions and triggers the ball screw arrangement 105 to position the mouth froth unit 106 precisely in front of the user’s mouth during seizure events.

5) The device as claimed in claim 1, wherein a user-interface is inbuilt in a computing unit accessed by a concerned caretaker of the user, providing real-time monitoring, alert notifications to caregivers upon seizure or fall detection, secure storage of historical sensor data, medication scheduling.

6) The device as claimed in claim 1, wherein the medication dispensing nozzle 110 delivers a precise dosage of seizure-controlling medication only after the suction nozzle 108 has cleared mouth froth, ensuring safe administration.

7) 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.

Documents

Application Documents

# Name Date
1 202521052769-STATEMENT OF UNDERTAKING (FORM 3) [30-05-2025(online)].pdf 2025-05-30
2 202521052769-REQUEST FOR EXAMINATION (FORM-18) [30-05-2025(online)].pdf 2025-05-30
3 202521052769-REQUEST FOR EARLY PUBLICATION(FORM-9) [30-05-2025(online)].pdf 2025-05-30
4 202521052769-PROOF OF RIGHT [30-05-2025(online)].pdf 2025-05-30
5 202521052769-POWER OF AUTHORITY [30-05-2025(online)].pdf 2025-05-30
6 202521052769-FORM-9 [30-05-2025(online)].pdf 2025-05-30
7 202521052769-FORM FOR SMALL ENTITY(FORM-28) [30-05-2025(online)].pdf 2025-05-30
8 202521052769-FORM 18 [30-05-2025(online)].pdf 2025-05-30
9 202521052769-FORM 1 [30-05-2025(online)].pdf 2025-05-30
10 202521052769-FIGURE OF ABSTRACT [30-05-2025(online)].pdf 2025-05-30
11 202521052769-EVIDENCE FOR REGISTRATION UNDER SSI(FORM-28) [30-05-2025(online)].pdf 2025-05-30
12 202521052769-EVIDENCE FOR REGISTRATION UNDER SSI [30-05-2025(online)].pdf 2025-05-30
13 202521052769-EDUCATIONAL INSTITUTION(S) [30-05-2025(online)].pdf 2025-05-30
14 202521052769-DRAWINGS [30-05-2025(online)].pdf 2025-05-30
15 202521052769-DECLARATION OF INVENTORSHIP (FORM 5) [30-05-2025(online)].pdf 2025-05-30
16 202521052769-COMPLETE SPECIFICATION [30-05-2025(online)].pdf 2025-05-30
17 Abstract.jpg 2025-06-18
18 202521052769-FORM-26 [01-07-2025(online)].pdf 2025-07-01