Description:BACKGROUND
Field of Invention
[001] Embodiments of the present invention generally relate to a smart tracking device and particularly to a smart tracking device with long-distance geolocation and remote monitoring for epilepsy patients.
Description of Related Art
[002] Epilepsy is a neurological disorder characterized by recurrent seizures, affecting millions of people worldwide. Despite advances in treatment and management, predicting and preventing epileptic seizures remain significant challenges. Seizure occurrence is highly variable among individuals, making personalized prediction and precautionary guidance essential for effective disease management.
[003] A need for a tracker arises from an unpredictable nature of epilepsy seizures. Patients often require constant monitoring to detect early signs of seizure activity, enabling timely intervention to minimize potential risks and ensure their safety. Additionally, tracking seizures over time can provide valuable insights into the patient's condition, aiding in treatment optimization and personalized care.
[004] Existing trackers for epilepsy management often have limitations that hinder their effectiveness. Traditional seizure detection devices cannot provide real-time monitoring or long-distance geolocation, limiting their utility in remote settings or during activities outside the home. Furthermore, some devices may not integrate seamlessly with communication platforms or lack sophisticated analysis capabilities, leading to delays in notifying caregivers or healthcare providers during critical moments. Additionally, the lack of comprehensive data collection and analysis features in existing trackers may hinder the ability to identify patterns or trends in seizure activity, limiting their utility in guiding treatment decisions and improving patient outcomes.
[005] There is thus a need for a smart tracking device with long-distance geolocation and remote monitoring for epilepsy patients that can administer the aforementioned limitations in a more efficient manner.
SUMMARY
[006] Embodiments in accordance with the present invention provide a smart tracking device with long-distance geolocation and remote monitoring for epilepsy patients. The smart tracking device comprising: a detection unit adapted to observe a real-time detection data comprising detected brain activities of the patient using an Electroencephalography (EEG) sensor, and a detected fall down movement of the patient using a motion sensor; a Global Positioning System (GPS) adapted to detect a geolocation data; and a processing unit connected to the detection unit and the communication unit, characterized in that the processing unit is configured to: receive the real-time detection data from the detection unit tagged with the geolocation data; process the real-time detection data; generate a pattern of the processed real-time detection data; analyze an abnormality in the generated pattern indicative of a seizure event; and actuate a communication unit for transmitting notifications regarding the analyzed abnormality indicative of the seizure event along with the tagged geolocation data and a device identification number to a remote monitoring platform.
[007] Embodiments in accordance with the present invention further provide a method for remote monitoring of epilepsy patients using a smart tracking device, comprising steps of: receiving real-time detection data comprising detected brain activities of the patient and detected fall down movement of the patient; detecting a geolocation data using a Global Positioning System (GPS); receiving the real-time detection data tagged with the geolocation data by a processing unit; processing the real-time detection data at the processing unit; generating a pattern of the processed real-time detection data; analyzing an abnormality in the generated pattern indicative of a seizure event; and actuating a communication unit to transmit notifications regarding the analyzed abnormality indicative of the seizure event along with the tagged geolocation data and a device identification number to a remote monitoring platform.
[008] Embodiments of the present invention may provide a number of advantages depending on their particular configuration. First, embodiments of the present application may provide a reliable and continuous monitoring solution for epilepsy patients, enhancing their safety by promptly detecting seizure events.
[009] Next, embodiments of the present application may provide a smart tracking device that empowers caregivers and healthcare providers with real-time access to critical patient data by enabling faster response times and improved management of epilepsy.
[0010] Next, embodiments of the present application may provide a smart tracking device having a capability to store historical data, allowing for retrospective analysis and trend identification.
[0011] Next, embodiments of the present application may provide the integration of artificial intelligence algorithms to improve the accuracy of seizure detection by analyzing complex patterns in the EEG and motion data.
[0012] Next, embodiments of the present application may provide the functionality to transmit alerts to caretakers' user devices, ensuring they are immediately informed of any potential seizure events, regardless of their location.
[0013] Next, embodiments of the present application may provide a system for registering patients on a remote monitoring platform, facilitating the management of patient data and streamlining the monitoring process.
[0014] Next, embodiments of the present application may provide the ability for the remote monitoring platform to issue instructions to the device, such as administering emergency measures, enhancing the device's responsiveness to seizure events.
[0015] Next, embodiments of the present application may provide a compact and wearable solution, ensuring that patients can comfortably use the device in their daily lives without significant inconvenience.
[0016] These and other advantages will be apparent from the present application of the embodiments described herein.
[0017] The preceding is a simplified summary to provide an understanding of some embodiments of the present invention. This summary is neither an extensive nor exhaustive overview of the present invention and its various embodiments. The summary presents selected concepts of the embodiments of the present invention in a simplified form as an introduction to the more detailed description presented below. As will be appreciated, other embodiments of the present invention are possible utilizing, alone or in combination, one or more of the features set forth above or described in detail below.
BRIEF DESCRIPTION OF THE DRAWINGS
[0018] The above and still further features and advantages of embodiments of the present invention will become apparent upon consideration of the following detailed description of embodiments thereof, especially when taken in conjunction with the accompanying drawings, and wherein:
[0019] FIG. 1 illustrates a block diagram of a smart tracking device, according to an embodiment of the present invention;
[0020] FIG. 2 illustrates a block diagram of a processing unit of the smart tracking device, according to an embodiment of the present invention; and
[0021] FIG. 3 depicts a flowchart of a method for remote monitoring of epilepsy patients using the smart tracking device, according to an embodiment of the present invention.
[0022] The headings used herein are for organizational purposes only and are not meant to be used to limit the scope of the description or the claims. As used throughout this application, the word "may" is used in a permissive sense (i.e., meaning having the potential to), rather than the mandatory sense (i.e., meaning must). Similarly, the words “include”, “including”, and “includes” mean including but not limited to. To facilitate understanding, like reference numerals have been used, where possible, to designate like elements common to the figures. Optional portions of the figures may be illustrated using dashed or dotted lines, unless the context of usage indicates otherwise.
DETAILED DESCRIPTION
[0023] 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 scope of the invention as defined in the claims.
[0024] 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.
[0025] 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.
[0026] FIG. 1 illustrates a block diagram of a smart tracking device 100 according to an embodiment of the present invention. The smart tracking device 100 may be equipped with advanced geolocation technology that enables it to accurately determine the location of the wearer over long distances. In an embodiment of the present invention, the smart tracking device 100 may further be adapted to monitor epilepsy patients remotely by detecting and analyzing their brain activities and movements in real-time. In an embodiment of the present invention, the smart tracking device 100 may comprise a device identification number. The device identification number may be a uniquely embedded identifier within the device that allows for distinct and secure identification of the device. The device identification number may ensure that all transmitted data, including detection data and geolocation data, may be accurately attributed to the smart tracking device 100 of a specific patient, facilitating reliable and personalized remote monitoring.
[0027] In an embodiment of the present invention, the smart tracking device 100 may comprise a detection unit 102 that may comprise an Electroencephalography (EEG) sensor 104, and a motion sensor 106. The smart tracking device 100 may further comprise a Global Positioning System (GPS) 108, a communication unit 110, a processing unit 112, and a remote monitoring platform 114.
[0028] In an embodiment of the present invention, the detection unit 102 may be adapted to observe real-time detection data comprising detected brain activities of the patient using the Electroencephalography (EEG) sensor 104 and detected fall down movements of the patient using the motion sensor 106. This detection data may be crucial for monitoring the patient's condition and identifying potential seizure events. In an embodiment of the present invention, the motion sensor 106 may be an accelerometer, a Gyroscopes, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the motion sensor 106 including known, related art, and/or later developed technologies.
[0029] In an embodiment of the present invention, the Global Positioning System (GPS) 108 may be adapted to detect and provide the geolocation data of the patient. This geolocation data may be tagged to the detection data to allow caregivers to know the precise location of the patient during a seizure event.
[0030] In an embodiment of the present invention, the communication unit 110 may be adapted to transmit the real-time detection data, tagged with the geolocation data and the device identification number, to a remote monitoring platform 114. The communication unit 110 ensures that critical information about the patient's condition and location is promptly sent to caregivers and healthcare professionals.
[0031] In an embodiment of the present invention, the processing unit 112 may be communicating with the detection unit 102. The processing unit 112 may further be configured to execute computer-executable instructions to generate an output relating to the smart tracking device 100. In an embodiment of the present invention, the processing unit 112 may be adapted to receive the real-time detection data from the detection unit 102 tagged with the geolocation data, process the data to generate a pattern, analyze abnormalities in the generated pattern indicative of a seizure event, and actuate the communication unit 110 for transmitting notifications regarding the analyzed abnormality. The processing unit 112 may also store historical data for retrospective analysis and trend identification. The processing unit 112 may further employ artificial intelligence algorithms to improve the accuracy of seizure detection.
[0032] According to embodiments of the present invention, the processing unit 112 may be, but not limited to, a Programmable Logic Control (PLC) unit, a microprocessor, a development board, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the processing unit 112 including known, related art, and/or later developed technologies. In an embodiment of the present invention, the processing unit 112 may further be explained in conjunction with FIG. 2.
[0033] In an embodiment of the present invention, the remote monitoring platform 114 may be adapted to receive and process the transmitted notifications and data from the smart tracking device 100. In an embodiment of the present invention, the remote monitoring platform 114 may transmit instructions for administering emergency measures in response to the seizure event to the processing unit 112.
[0034] In an embodiment of the present invention, the remote monitoring platform 114 may be a cloud server. In such an embodiment of the present invention, the remote monitoring platform 114 may be accessible through a computing system (not shown) using a computer application (not shown). In another embodiment of the present invention, the remote monitoring platform 114 may be the computing system. Embodiments of the present invention are intended to include or otherwise cover any type of remote monitoring platform 114, including known, related art, and/or later developed technologies. According to embodiments of the present invention, the computer application may be, but is not limited to, an Android application, a web application, a standalone application, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of computer application, including known, related art, and/or later developed technologies.
[0035] FIG. 2 illustrates a block diagram of the processing unit 112 of the smart tracking device 100 according to an embodiment of the present invention. The processing unit 112 may comprise computer-executable instructions in the form of programming modules such as a device registration module 200, a detection module 202, a location identification module 204, an analysis module 206, and a communication module 208.
[0036] In an embodiment of the present invention, the device registration module 200 may be configured to register the patient on the remote monitoring platform by receiving patient information and allocating a patient identification number upon registration. The device registration module 200 may be configured to create a patient profile of the patient on the remote monitoring platform 114. The device registration module 200 may further be configured to associate the received patient information with the patient profile, according to an embodiment of the present invention.
[0037] Upon successful creation of the patient profile, the device registration module 200 may generate and transmit a detection signal to the detection module 202.
[0038] The detection module 202 may be activated upon receiving the detection signal from the device registration module 200. In an embodiment of the present invention, the detection module 202 may be configured to receive and process real-time detection data from the EEG sensor 104 and the motion sensor 106. Upon receiving the detection data, the detection module 202 may generate a location identification signal and transmit the generated location identification signal to the location identification module 204.
[0039] In an embodiment of the present invention, the location identification module 204 may be activated upon receiving the generated location identification signal. In an embodiment of the present invention, the location identification module 204 may be configured to obtain and tag the detection data with geolocation data from the GPS.
[0040] In an embodiment of the present invention, the analysis module 206 may activated upon receiving a triggering signal from the computing system. The analysis module 206 may be configured to analyze the generated pattern to detect the abnormalities indicative of the seizure event. The real-time detection data from the EEG sensor 104 and the motion sensor 106 may be evaluated by machine learning algorithms for detecting patterns indicative of seizure events, allowing for accurate and efficient monitoring of the patient's condition.
[0041] In another embodiment of the present invention, the analysis module 206 may utilize a threshold-based approach to detect the seizure events by analyzing real-time detection data from the EEG sensor 104 and the motion sensor 106. The analysis module 206 may utilize established threshold ranges representing normal physiological activity. In an embodiment of the present invention, the established threshold ranges may be derived from historical data or clinical standards. The established threshold ranges may serve as a benchmark for typical brainwave patterns and motion behaviors.
[0042] In an embodiment of the present invention, in case of a deviation between the real-time data and the established threshold ranges, the analysis module 206 may indicate abnormal brain activity patterns or unusual motion behaviors outside the expected physiological norms. Upon detecting significant deviations beyond the established threshold ranges, the analysis module 206 may generate a communication signal and transmit the generated communication signal to the communication module 208.
[0043] In an embodiment of the present invention, the communication module 208 may be activated upon receiving the communication signal. In an embodiment of the present invention, the communication module 208 may be configured to transmit notifications and the alerts to the remote monitoring platform 114. These notifications may include information about detected abnormalities, the patient’s geolocation, and the device identification number. In another embodiment of the present invention, the communication module 208 may be configured transmit the alerts to on a user device (not shown) of a user or a caretaker.
[0044] FIG. 3 depicts a flowchart of a method 300 for the remote monitoring of epilepsy patients using the smart tracking device 100, according to an embodiment of the present invention.
[0045] At step 302, the smart tracking device 100 may receive the real-time detection data comprising the detected brain activities of the patient using the Electroencephalography (EEG) sensor 104 and the detected fall down movements using the motion sensor 106.
[0046] At step 304, the smart tracking device 100 may tag the received real-time detection data with the geolocation data obtained from a Global Positioning System (GPS) 108.
[0047] At step 306, the smart tracking device 100 may process the tagged real-time detection data to generate the pattern of the patient's brain activities and the movements.
[0048] At step 308, the smart tracking device 100 may analyze the generated pattern to detect the abnormalities indicative of the seizure event. Upon detecting the seizure event, the method 300 may proceed to step 310. Otherwise, the method 300 may return to the step 302.
[0049] At step 310, the smart tracking device 100 may actuate the communication unit to transmit notifications regarding the analyzed abnormality, including the tagged geolocation data and the device identification number, to a remote monitoring platform.
[0050] While the invention has been described in connection with what is presently considered to be the most practical and various embodiments, it is to be understood that the invention is not to be limited to the disclosed embodiments, but on the contrary, is intended to cover various modifications and equivalent arrangements included within the scope of the appended claims.
[0051] This written description uses examples to disclose the invention, including the best mode, and also to enable any person skilled in the art to practice the invention, including making and using any devices or systems and performing any incorporated methods. The patentable scope of the invention is defined in the claims, and may include other examples that occur to those skilled in the art. Such other examples are intended to be within the scope of the claims if they have structural elements that do not differ from the literal language of the claims, or if they include equivalent structural elements within substantial differences from the literal languages of the claims. , Claims:CLAIMS
We Claim:
1. A smart tracking device (100) with long-distance geolocation, for remote monitoring for epilepsy patients, the smart tracking device (100) comprising:
a detection unit (102) adapted to observe a real-time detection data comprising detected brain activities of the patient using an Electroencephalography (EEG) sensor (104), and a detected fall down movement of the patient using a motion sensor (106);
a Global Positioning System (GPS) (108) adapted to detect a geolocation data; and
a processing unit (112) connected to the detection unit (102) and the communication unit (110), characterized in that the processing unit (112) is configured to:
receive the real-time detection data from the detection unit (102) tagged with the geolocation data;
process the real-time detection data;
generate a pattern of the processed real-time detection data;
analyse an abnormality in the generated pattern indicative of a seizure event; and
actuate a communication unit (110) for transmitting notifications regarding the analysed abnormality indicative of the seizure event along with the tagged geolocation data and a device identification number to a remote monitoring platform (114).
2. The smart tracking device (100) as claimed in claim 1, wherein the motion sensor (106) is selected from an accelerometer or Gyroscopes, or a combination thereof.
3. The smart tracking device (100) as claimed in claim 1, wherein the processing unit (112) is configured to store historical data of the detected brain activities and the detected fall down movement for retrospective analysis and a trend identification.
4. The smart tracking device (100) as claimed in claim 1, wherein the processing unit (112) employ an artificial intelligence algorithm trained to analyse the abnormality in the generated pattern.
5. The smart tracking device (100) as claimed in claim 1, wherein the processing unit (112) is adapted to receive instructions from the remote monitoring platform (114) for administering emergency measures in response to the seizure event.
6. The smart tracking device (100) as claimed in claim 1, wherein the processing unit (112) is configured to register the patient on the remote monitoring platform (114) by receiving patient information on the and allocate a patient identification number upon registration.
7. The smart tracking device (100) as claimed in claim 1, wherein the communication unit (110) is configured to transmit the real-time detection data to the remote monitoring platform (114).
8. The smart tracking device (100) as claimed in claim 1, wherein the processing unit (112) is configured to transmit alerts to a user or a caretaker.
9. A method for remote monitoring of epilepsy patients using a smart tracking device, comprising steps of:
receiving real-time detection data comprising detected brain activities of the patient and detected fall down movement of the patient;
processing the real-time detection data at the processing unit (112) and tagging the processed real-time detection data with a geolocation data obtained using a Global Positioning System (GPS) (108);
generating a pattern of the processed real-time detection data;
analysing an abnormality in the generated pattern indicative of a seizure event; and
actuating a communication unit (110) to transmit notifications regarding the analysed abnormality indicative of the seizure event along with the tagged geolocation data and a device identification number to a remote monitoring platform (114).

Date: June 05, 2024
Place: Noida

Dr. Keerti Gupta
Agent for the Applicant
(IN/PA-1529)