IoT-based wearable devices for the vulnerable group of emergency response and healthcare service

Abstract

An IoT-based wearable device for emergency response and healthcare of vulnerable groups according to the present invention comprises: a strap portion equipped with an ECG (Electrocardiogram) electrode pad having a conductive wire embedded therein for measuring an electrocardiogram; a data measurement module including a plurality of sensors for processing the electrocardiogram measured by the strap portion and measuring biosignals; a server for analyzing and transmitting / receiving information transmitted from the data measurement module; and a user terminal for receiving information from the server and providing it to a user, wherein the data measurement module comprises: a measurement portion for differentially amplifying the electrocardiogram and biosignals to improve data accuracy; a filter portion including a High Pass Filter (HPF) and a Low Pass Filter (LPF) for filtering the electrocardiogram and biosignals to remove noise; and a communication portion for communicating with the server to transmit / receive data processed by the strap portion and the data measurement module, wherein the data measurement module comprises sensors for measuring real-time heart rate, heart rate per minute, oxygen saturation, pulse, and body temperature, and of the wearable device An IoT-based wearable device for emergency response and healthcare of vulnerable groups, characterized by further including a GPS sensor for determining location information, wherein the server processes and databases the electrocardiogram and biosignals to provide health status data and emergency situation data to the user terminal, thereby providing the wearer’s electrocardiogram and biosignal data to the vulnerable wearer and their caregiver, and in the event of an emergency, notifying the caregiver of the emergency and making a phone call, and if a connection is not made for a certain period of time, reporting to and connecting to an emergency center, thereby reducing unnecessary connections to emergency centers and providing effective response in emergency situations.

Description

Technology Field

[0001] The present invention relates to an IoT-based wearable device for emergency response and healthcare for vulnerable groups, capable of measuring electrocardiograms and biosignals and securing disease symptoms including cardiovascular diseases to provide healthcare services such as exercise and medicine recommendations as well as responding to emergency situations. Background Technology

[0003] As the proportion of the elderly population aged 65 or older increases rapidly, social costs such as healthcare for the elderly are gradually increasing. However, despite the significant social costs incurred, treatment through hospital visits is not provided due to the financial burden and inconvenience of visiting medical institutions for the majority of the elderly, which is creating limitations in continuously monitoring the health status of the elderly.

[0004] Furthermore, as 91% of the elderly population suffers from at least one severe disease, the probability of an emergency is very high; however, since contact with non-cohabiting children occurs only once or twice a month, it is difficult for caregivers to respond to emergencies. As such, due to realistic constraints, the majority of caregivers consistently face difficulties in providing continuous care for the lifestyle and health of the elderly.

[0005] To address these issues, systems such as installed IoT devices are being released, but they have clear limitations as they rely on the movements of the elderly and are effective only within the device's observation range. Additionally, while digital devices such as smartwatches are being released, their effectiveness is diminished due to the elderly's low familiarity with digital devices. Accordingly, considering the target audience who find it uncomfortable to wear accessory-type digital devices like smartwatches, there is a need for a product capable of collecting and transmitting data regarding health status and emergency situations through a wearable device in the form of underwear worn daily. Prior art literature

[0007] Registered Patent Publication KR 10-1460582 (Registration Date 2014.11.05) Registered Patent Publication KR 10-1536361 (Registration Date 2015.07.07) The problem to be solved

[0008] The present invention can provide an IoT-based wearable device for emergency response and healthcare for vulnerable groups that measures the health status of vulnerable groups, including electrocardiograms and biosignals, monitors them in real time when an emergency occurs, provides them to caregivers and nurses, and collaborates with medical institutions to provide immediate and personalized emergency response services within the golden time. means of solving the problem

[0010] An IoT-based wearable device for emergency response and healthcare of vulnerable groups according to the present invention comprises: a strap portion equipped with an ECG (Electrocardiogram) electrode pad having a conductive wire embedded therein to measure an electrocardiogram; a data measurement module including a plurality of sensors for processing the electrocardiogram measured by the strap portion and measuring biosignals; a server for analyzing and transmitting / receiving information transmitted from the data measurement module; and a user terminal for receiving information from the server and providing it to a user. The data measurement module comprises: a measurement portion that improves data accuracy by differentially amplifying the electrocardiogram and biosignals; a filter portion including a High Pass Filter (HPF) and a Low Pass Filter (LPF) to filter the electrocardiogram and biosignals and remove noise; and a communication portion that communicates with the server to transmit / receive data processed by the strap portion and the data measurement module. The data measurement module includes sensors for measuring real-time heart rate, heart rate per minute, oxygen saturation, pulse, and body temperature, and location information of the wearable device It further includes a GPS sensor for identification, and the server can provide health status data and emergency situation data to the user terminal by processing and database-ing the electrocardiogram and biosignals.

[0011] In addition, in the filter section, the high-pass filter has a cutoff frequency of 0.67 Hz and the low-pass filter has a cutoff frequency of 40 Hz, and noise of the electrocardiogram and biosignal can be removed.

[0012] In addition, the server further includes a data analysis mode, and the data analysis mode includes sleep, exercise, pre-meal, post-meal, fasting, and daily life modes, and can adjust the normal range of a preset health state according to the health condition and type of disease of the wearer of the wearable device.

[0013] In addition, the data analysis mode further includes a dementia mode, and the dementia mode can analyze location information when the wearer of the wearable device is elderly and send an alarm signal to the user terminal or relevant organization when it goes outside a preset range.

[0014] In addition, the server provides emergency situation data to the user terminal, and when a response regarding the emergency situation data is not received by the server from the user terminal, the server proceeds to report to an emergency center or medical institution, wherein the server extracts location information from the GPS sensor of the wearable device and provides data analyzed from the electrocardiogram and biosignals to the emergency center or medical institution.

[0015] In addition, a method for transmitting data when an emergency situation occurs using an IoT-based wearable device for emergency response and healthcare of vulnerable groups according to the present invention may include the steps of: the strap part measuring an electrocardiogram; the data measurement module processing the data measured by the strap part and measuring a biosignal; the data collected by the data measurement module being transmitted to and received by the server; the server analyzing the data and providing health status data and emergency situation data to the user terminal; the user terminal confirming the emergency situation data and reporting it to a medical institution; and the server or the user terminal providing location information, electrocardiogram, and biosignal of the wearable device to the medical institution.

[0016] Additionally, the method may further include the step of the server confirming that emergency situation data has not been received from the user terminal for a preset period of time, and the step of the server confirming the emergency situation data and reporting it to a medical institution. Effects of the invention

[0018] The IoT-based wearable device for emergency response and healthcare of vulnerable groups according to the present invention can provide a wearable device that can be worn for a long period of time by attaching sensors to two parts of the body to improve wearability.

[0019] In addition, a wearable device can be provided that measures biosignals including heart rate, pulse, oxygen saturation, body temperature, and stress levels in addition to an electrocardiogram to determine the presence and type of cardiovascular disease, as well as to respond to various emergency situations.

[0020] In addition, it provides the wearer's biometric signal data to vulnerable wearers and their caregivers, notifies the caregiver of the emergency and initiates a phone call in the event of an emergency, and if a connection is not established for a certain period of time, it reports to and connects to an emergency center, thereby reducing unnecessary connections to emergency centers and enabling effective response in emergency situations.

[0021] In addition, by measuring electrocardiogram and biosignal data in real time, it is possible to periodically check health status in daily life, and based on this, healthcare services such as exercise and medication recommendations can be provided. Brief explanation of the drawing

[0023] FIG. 1 is a drawing for explaining a wearable device according to the present invention. FIG. 2 is a diagram illustrating the schematic configuration of a wearable device according to the present invention. FIG. 3 is a diagram illustrating communication between a wearable device and a server or user terminal according to the present invention. FIG. 4 is a flowchart schematically illustrating a method for transmitting data when an emergency situation occurs using a wearable device according to the present invention. FIG. 5 is a flowchart schematically illustrating the operating principle of a wearable device according to the present invention. Specific details for implementing the invention

[0024] Hereinafter, embodiments of the present invention will be described in detail with reference to the attached drawings so that those skilled in the art can easily implement the invention. The present invention is not limited to the embodiments described herein and may be implemented in various different forms.

[0026] To clearly explain the present invention, parts unrelated to the description have been omitted, and identical or similar components throughout the specification are given the same reference numerals. Since the configuration of the IoT-based wearable device for emergency response and healthcare for vulnerable groups according to the present invention can be applied in various ways without being limited to the names, it is not necessary to be limited to the terms or names described below.

[0028] As illustrated in FIGS. 1 and 2, an IoT-based wearable device (1000) for emergency response and healthcare for vulnerable groups according to the present invention may include a strap part (100), a data measurement module (200), a server (300), and a user terminal (400).

[0030] The wearable device (1000) according to the present invention can provide healthcare services such as health management and emergency response services to respond when an emergency situation occurs, targeting vulnerable groups such as the elderly, children, and patients.

[0031] At this time, the wearable device (1000) is configured in the form of underwear such as a bra and can monitor the wearer's health condition in real time, and if it detects data that deviates from a preset normal value, it can secure a golden time by making an emergency contact to a caregiver or medical institution.

[0032] In addition, the wearable device (1000) may be formed as a wire-free bra to improve wearability and convenience, and thus may be worn for a long time. In one embodiment, the wearable device (1000) may be composed of raw materials including polyester, rayon blend, synthetic fiber, polyurethane, and polyethylene to improve wearability and convenience.

[0034] The strap portion (100) is positioned at the bottom of the wearable device (1000) and is provided in the form of a strap with a conductive wire embedded in an ECG (Electrocardiogram, ECG) electrode pad (P+, P-) to measure an electrocardiogram. In one embodiment, the strap portion (100) may further include a length adjustment portion (not shown in the drawing) for adjusting the length to suit the wearer's body shape, and the length adjustment portion can improve the wearing comfort and convenience.

[0036] The data measurement module (200) may include a plurality of sensors for processing the electrocardiogram measured by the strap part (100) and measuring biosignals. At this time, the data measurement module (200) may further include a measurement part (210), a filter part (220), and a communication part (230).

[0038] In one embodiment, the sensor included in the data measurement module (200) can measure biosignals such as real-time heart rate, heart rate per minute, oxygen saturation, pulse, and body temperature. At this time, it may include a pulse sensor, a temperature sensor, a heart rate sensor, and an oxygen saturation sensor for measuring such biosignals, and additionally include sensors for checking the wearer's health status, such as vital signs, electromyography (EMG), blood glucose, and respiration. Additionally, a GPS sensor for determining the location of the wearer of the wearable device (1000) may be further included.

[0040] The above measurement unit (210) can improve the accuracy of the data by differentially amplifying the electrocardiogram and bio-signals. Accordingly, the reliability of the data measuring the health status of a person wearing the wearable device (1000) is increased, thereby preventing a situation where an emergency situation is judged to have occurred due to a false detection.

[0042] The filter unit (220) includes a high-pass filter (221) (High Pass Filter, HPF) and a low-pass filter (222) (Low Pass Filter, LPF), and can filter the electrocardiogram and biosignals to remove noise from the data.

[0044] In one embodiment, the high-pass filter (221) has a cutoff frequency of 0.67 Hz, and the low-pass filter (222) has a cutoff frequency of 40 Hz. For instance, the high-pass filter (221) may pass only components of frequencies higher than 0.67 Hz and block the remaining frequencies, and the low-pass filter (222) may pass only components of frequencies lower than 40 Hz and block the remaining frequencies. Accordingly, the electrocardiogram and biosignal data can be filtered to remove noise, and the reliability of the electrocardiogram and biosignal measured using frequencies in the 0.67 Hz to 40 Hz range can be improved.

[0046] In another embodiment, the high-pass filter (221) has a cutoff frequency of 0.64 Hz to 0.70 Hz, and the low-pass filter (222) has a cutoff frequency of 37 Hz to 43 Hz. For example, the high-pass filter (221) may pass only components of frequencies higher than 0.64 Hz to 0.70 Hz and block the remaining frequencies, and the low-pass filter (222) may pass only components of frequencies lower than 37 Hz to 43 Hz and block the remaining frequencies. Accordingly, the electrocardiogram and biosignal data can be filtered to remove noise from the data.

[0048] In one embodiment, the filter unit (220) may further include a band-stop filter (223) (Band-Stop Filter, BSF). The band-stop filter (223) may block a frequency of 60 Hz, and a High Q Notch filter may be used. More preferably, a High Q Twin-T Notch filter may be used as the band-stop filter (223). At this time, the band-stop filter (223) may be used to remove noise generated during power charging of the wearable device (1000) according to the present invention.

[0049] In one embodiment, the data measurement module (200) may further include an ADC (Analog To Digital Conversation, ADC) and may convert electrocardiogram data and biosignal data passed through the filter unit (220) into digital signals and transmit them to the communication unit (230).

[0051] The communication unit (230) can communicate with the server (300) to transmit and receive data collected from the strap unit (100) and the data measurement module (200). In one embodiment, the communication unit (230) can transmit a digital signal that has passed through the ADC to the server (300) or the user terminal (400). At this time, the communication unit (230) may be composed of a communication board consisting of a commercially available FEASYCOM FSC-BT630 Bluetooth model, a BC25 module, and an NB260 board.

[0053] In one embodiment, the communication unit (230) may include a long-distance network interface such as a 3G module, a Wi-Fi module, a WiGig module, a Wireless LAN (WLAN), a Digital Living Network Alliance (DLNA), a Wireless Broadband (Wibro), a World Interoperability for Microwave Access (Wimax), a High Speed ​​Downlink Packet Access (HSDPA), a High Speed ​​Uplink Packet Access (HSUPA), IEEE 802.16, Long Term Evolution (LTE), LTE-A (Long Term Evolution-Advanced), a Wireless Mobile Broadband Service (WMBS), etc.

[0055] Additionally, the communication unit (230) may include a short-range network interface such as a Bluetooth module, an NFC module, an RFID (Radio Frequency Identification) module, a ZigBee module, a wireless communication module with low-power Bluetooth Dual-Mode, an Infrared Data Association (IrDa) module, Ultra Sound Communication (USC), Visible Light Communication (VLC), Wi-Fi Direct, LoRa (Long Range), LTEM CAT M.1, and NarrowBand-Internet of Things (NB-IoT). Accordingly, as illustrated in FIG. 3, the wearable device (1000) can transmit and receive data with the server (300) or the user terminal (400) through the network interface mentioned in the communication unit (230).

[0057] The server (300) can receive electrocardiogram data and biosignal data from the strap unit (100) and the data measurement module (200), process them, and database them, thereby providing health status data and emergency situation data to the user terminal (400). At this time, the user terminal (400) may include a user wearing the wearable device (1000), a caregiver, a nurse, etc.

[0059] The server (300) may further include an artificial intelligence model and a deep learning model. For example, the deep learning model can analyze and process electrocardiogram and biosignal data collected from the strap part (100) and the data measurement module (200) through RNN (Recurrent Neural Network), C-LSTM (Convolutional Long short-term memory), GRU (Gated Recurrent Unit), CNN (Convolutional Neural Network), RL (Reinforcement Learning), and LSTM (Long short-term memory) to check the health status of the wearer of the wearable device (1000) and determine whether an emergency situation has occurred.

[0060] Accordingly, it is possible not only to confirm the presence and type of cardiovascular disease but also to identify emergency situations by securing symptoms of various diseases, and to provide healthcare services such as recommendations for necessary exercises, exercise methods, frequency, medications, and health supplements by checking health status.

[0062] When the electrocardiogram data and biosignal data deviate from a preset normal range, the server (300) determines that an emergency has occurred and can transmit an emergency situation signal (emergency situation data) to the user terminal (400). At this time, the user terminal (400) can receive the emergency situation signal and request a rescue signal from a medical institution.

[0063] Accordingly, even when an emergency signal is generated, it is possible to determine whether a report to a medical institution is necessary. Furthermore, even if electrocardiogram (ECG) and vital sign data deviate from preset normal ranges and an emergency signal is transmitted, it can identify cases where the situation is not an emergency. Therefore, it is possible to prevent reporting to a medical institution when there is no actual emergency.

[0065] In addition, when the server (300) transmits an emergency situation signal to the user terminal (400), if reception by the user terminal (400) is not confirmed for a preset period of time, the server (300) may report to a medical institution and establish a telephone connection. Accordingly, rapid response is possible immediately upon the occurrence of an emergency, and the golden time can be observed in various situations.

[0066] The server (300) can extract location information through the GPS sensor of the wearable device (1000) and provide data analyzed from the electrocardiogram and biosignals to emergency centers and medical institutions. At this time, the server (300) can process data including user health analysis data extracted through precise analysis using an artificial intelligence model and a deep learning model, real-time heart rate, electrocardiogram, oxygen saturation, and body temperature into visualized data and provide it to medical institutions and emergency centers.

[0067] Accordingly, rapid response to the wearer of the wearable device (1000) may be possible in the event of an emergency. In one embodiment, the visualized data may include data graphed from electrocardiogram and biosignal data, such as a precise heart rate graph, or a data map processed from electrocardiogram and biosignal data.

[0069] In another embodiment, when the user terminal (400) fails to receive the emergency situation occurrence signal transmitted from the server (300), the server (300) may perform a procedure to transmit the emergency situation occurrence signal again to the user terminal (400) to verify it again.

[0070] For example, when the person owning the user terminal (400) is absent and therefore unable to receive the emergency situation signal, the server (300) does not immediately report to and connect to a medical institution and an emergency institution, but instead transmits the emergency situation signal back to the user terminal (400) to verify the emergency situation signal and determine whether it is a situation that requires reporting to a medical institution, thereby preventing the case where a report is made to a medical institution even though it is not an emergency.

[0072] In one embodiment, the server (300) can set a cycle for transmitting to the user terminal (400) data that confirms the health status and indicates whether there is an emergency situation, derived by analyzing and processing electrocardiogram and biosignal data measured by the wearable device (1000). For example, the server (300) can be set to transmit data to the user terminal (400) at preset intervals, or it can be selected to continuously transmit data to the user terminal (400).

[0074] Additionally, the server (300) can set the frequency for measuring electrocardiogram and biosignals in the strap unit (100) and the data measurement module (200). At this time, the strap unit (100) and the data measurement module (200) can be set to measure the electrocardiogram and biosignals of the wearer of the wearable device (1000) at preset times, or to continuously measure the electrocardiogram and biosignals.

[0076] In one embodiment, the server (300) may select a data analysis mode. At this time, the analysis mode may include sleep, exercise, before meals, after meals, fasting, daily life, etc., and depending on the situation, additional analysis modes other than the previously declared data analysis mode may be included.

[0077] Accordingly, by adjusting the normal range of the pre-set health condition according to the health condition and type of disease of the wearer of the wearable device (1000), it is possible to prevent cases where the electrocardiogram and biosignal data deviate from the pre-set normal range and are determined to be an emergency situation even though an emergency situation has not actually occurred.

[0078] For example, depending on whether the wearer of the wearable device (1000) has a chronic illness or disease and the health condition in daily life, when the normal range of the pre-set health condition of the electrocardiogram data and biosignal data changes significantly as daily life progresses, such as during sleep, exercise, before meals, after meals, and fasting, reliability can be improved by accurately determining whether an emergency situation has actually occurred.

[0080] In one embodiment, the server (300) may further include a dementia mode in the data analysis mode. For example, if the wearer of the wearable device (1000) is elderly, the location information is analyzed through the GPS sensor of the wearable device (1000), and if it goes outside a preset range, an alarm signal can be transmitted to the user terminal (400) or a relevant agency such as a police station.

[0081] At this time, the pre-set range may include the location where the wearer of the wearable device (1000) resides and the range where they move while living their daily life, and the wearer of the wearable device (1000) may add places visited three or more times, places visited daily, places visited two or more times a week, etc., as pre-set places by learning through the artificial intelligence model and deep learning model of the server (300).

[0082] Accordingly, when an elderly dementia patient wearing the wearable device (1000) visits a place they have never been to during their daily life, the server (300) transmits an alarm signal to the user terminal (400) or a relevant organization to prevent the wearer of the wearable device (1000) from getting lost or losing their way.

[0084] In one embodiment, the wearable device (1000) may further include an impact detection unit (not shown in the drawing). The impact detection unit may include a sensor for detecting a physical impact acting on the wearer of the wearable device (1000).

[0085] For example, the shock detection unit can detect shocks including physical shocks that may occur between people, traffic accidents, and shocks with the floor that may occur due to the wearer of the wearable device (1000) losing consciousness, and transmit them to the server (300).

[0086] The above server (300) can detect an emergency situation caused by an accident in addition to an emergency situation that may occur due to a health abnormality, and can connect to the above user terminal (400) or medical institution to proceed with a rescue request.

[0088] In one embodiment, the wearable device (1000) may further include an acoustic unit (not shown in the drawing). The acoustic unit may provide alarm signals and rescue request signals to an unspecified number of people around the wearer of the wearable device (1000). For example, if the server (300) analyzes the electrocardiogram and biosignals measured by the wearable device (1000) and confirms that an emergency situation has occurred, it may transmit alarm signals and rescue request signals to the acoustic unit.

[0089] Accordingly, when an emergency occurs to the wearer of the wearable device (1000), the server (300) transmits an emergency situation signal to the user terminal (400), and after confirming whether the user terminal (400) receives or does not receive the signal, a method can be further provided so that people around the wearer of the wearable device (1000) can make a rescue request for the emergency situation faster than the time when the server (300) transmits the emergency situation to a medical institution.

[0091] In one embodiment, the server (300) can analyze electrocardiogram and biosignal data measured by the wearable device (1000) to extract stress level data of the wearer of the wearable device (1000) and transmit it to the user terminal (400).

[0093] FIG. 4 is a flowchart schematically illustrating a method for transmitting data when an emergency occurs using a wearable device (1000) according to the present invention. The method for transmitting data when an emergency occurs using an IoT-based wearable device (1000) for emergency response and healthcare for vulnerable groups according to FIG. 4 may include the steps of: the strap part (100) measuring an electrocardiogram; the data measurement module (200) processing the data measured by the strap part (100) and measuring a biosignal; the data processed by the data measurement module (200) being transmitted to and received by the server (300); the server (300) analyzing the data and providing health status data and emergency situation data to the user terminal (400); the user terminal (400) checking the emergency situation data and reporting it to a medical institution; and the server (300) or the user terminal (400) providing location information, electrocardiogram, and biosignal of the wearable device (1000) to a medical institution.

[0095] Additionally, the method of transmitting data when an emergency occurs using an IoT-based wearable device (1000) for emergency response and healthcare of the above-mentioned vulnerable group may further include the step of the server (300) confirming that emergency situation data has not been received from the user terminal (400) for a preset time period, and the step of the server (300) confirming the emergency situation data and reporting it to a medical institution.

[0097] FIG. 5 is a flowchart schematically illustrating the operating principle of a wearable device (1000) according to the present invention. The operating method of the wearable device (1000) according to FIG. 4 may include a power ON step for turning on the power, a step of starting a Bluetooth pairing mode, a step of setting an electrocardiogram and biosignal measurement cycle, a step of measuring an electrocardiogram, a step of measuring a biosignal, a step of inputting a data queue, a step of diagnosing bradycardia and tachycardia, a step of diagnosing a health condition to determine whether the health value is normal or abnormal, a step of returning to setting an electrocardiogram and biosignal measurement cycle when the health value is normal, a BT mode ON step for turning on the BT mode when the health value is abnormal, a step of transmitting a data queue, a step of deleting a data queue, and a BT mode OFF step for stopping the operation of the BT mode.

[0099] As previously discussed, it can be modified and exchanged to be applicable to various specifications, shapes, and standards. The present invention described above is not limited by the aforementioned embodiments and attached drawings, and simple substitutions, modifications, and changes within the technical scope of the present invention are obvious to those skilled in the art. Industrial applicability

[0101] The present invention can provide an IoT-based wearable device for emergency response and healthcare for vulnerable groups that measures electrocardiograms and biosignals and secures disease symptoms including cardiovascular diseases, thereby providing healthcare services such as exercise and medicine recommendations as well as responding to emergency situations.

[0102] No content Explanation of the symbols

[0103] 1000 : Wearable device 100 : Strap part 200: Data Measurement Module 210 : Measurement unit 220 : Filter section 221 : High-pass filter 222 : Low-pass filter 223 : Bandwidth filter 230 : Communications Department 300 : Server 400 : User terminal

Claims

Claim 1 An IoT-based wearable device for emergency response and healthcare of vulnerable groups comprises: a strap portion equipped with an ECG (Electrocardiogram) electrode pad having a conductive wire embedded therein to measure an electrocardiogram; a data measurement module including a plurality of sensors for processing the electrocardiogram measured by the strap portion and measuring biosignals; a server for analyzing and transmitting / receiving information transmitted from the data measurement module; and a user terminal for receiving information from the server and providing it to a user; wherein the data measurement module comprises: a measurement portion that differentially amplifies the electrocardiogram and biosignals to improve data accuracy; a filter portion including a High Pass Filter (HPF) and a Low Pass Filter (LPF) to filter the electrocardiogram and biosignals to remove noise; and a communication portion that communicates with the server to transmit / receive data processed by the strap portion and the data measurement module. ...including, wherein the data measurement module further includes a sensor for measuring real-time heart rate, heart rate per minute, oxygen saturation, pulse, and body temperature, and a GPS sensor for determining location information of the wearable device, and the server provides health status data and emergency situation data to the user terminal by processing and database-ing the electrocardiogram and biosignals, and when a response regarding emergency situation data is not received by the server from the user terminal, the server proceeds to report to an emergency center or medical institution, wherein the server extracts location information from the GPS sensor of the wearable device and RNN (Recurrent Neural Network), C-LSTM (Convolutional Long short-term memory), GRU (Gated Recurrent Unit), CNN (Convolutional Neural Network),By analyzing and processing electrocardiogram and biosignal data through an artificial intelligence model and a deep learning model selected from RL (Reinforcement Learning) and LSTM (Long Short-Term Memory), the health status of the wearer of the wearable device is checked and the occurrence of an emergency is determined. Meanwhile, user health analysis data extracted through precise analysis using the artificial intelligence model and deep learning model, as well as data including real-time heart rate, electrocardiogram, oxygen saturation, and body temperature, are processed into visualized data. Furthermore, by providing a precise heart rate graph graphed from the electrocardiogram and biosignal data, or a data map processed from the electrocardiogram and biosignal data, to medical institutions and emergency centers, rapid response to the wearer of the wearable device is enabled in the event of an emergency. The server further includes a data analysis mode, wherein the data analysis mode includes sleep, exercise, pre-meal, post-meal, fasting, and daily life modes, and adjusts the normal range of a pre-set health status according to the wearer's health condition and type of disease. The data analysis mode further includes a dementia mode, and the dementia mode [involves] the wearable device A wearable device characterized by analyzing location information when the wearer is elderly and sending an alarm signal to the user terminal or relevant organization when the wearer moves outside a preset range. Claim 2 A wearable device according to claim 1, characterized in that, in the filter section, the high-pass filter has a cutoff frequency of 0.67 Hz and the low-pass filter has a cutoff frequency of 40 Hz, thereby removing noise from the electrocardiogram and biosignals. Claim 3 delete Claim 4 delete Claim 5 delete Claim 6 A method for transmitting data when an emergency occurs using an IoT-based wearable device for emergency response and healthcare of vulnerable groups according to claim 1 or 2, comprising: a step in which the strap part measures an electrocardiogram; a step in which the data measurement module processes the data measured by the strap part and measures a biosignal; a step in which the data collected by the data measurement module is transmitted to and received by the server; a step in which the server analyzes the data and provides health status data and emergency situation data to the user terminal; a step in which the user terminal checks the emergency situation data and reports it to a medical institution; and a step in which the server or the user terminal provides location information, electrocardiogram, and biosignal of the wearable device to the medical institution. Claim 7 A method for transmitting data when an emergency occurs using an IoT-based wearable device for emergency response and healthcare of vulnerable groups, characterized in that, in claim 6, the user terminal further comprises the step of confirming that the server has not received emergency situation data from the user terminal for a preset time; and the server confirms the emergency situation data and reports it to a medical institution.

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