Epileptic health monitoring system based on intelligent medical bracelet
By integrating signal acquisition, network status perception and alarm monitoring modules into the smart medical bracelet, the problem of monitoring interruption in the absence of a network is solved, and a continuous data collection and alarm mechanism is realized in extreme network environments, ensuring uninterrupted real-time health monitoring of epilepsy patients.
Patent Information
- Application Number
- CN202511011866.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-22
- Publication Date
- 2025-09-12
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
Existing smart medical bracelets cannot collect physiological signals without a network, resulting in real-time monitoring interruption and data omission, affecting the normal operation of the alarm system for epilepsy patients.
A health monitoring system based on a smart medical bracelet was designed, which included a signal acquisition module, a network status perception module, and an alarm monitoring module. Through signal strength detection and network status classification, it generated real-time network status signals and automatically activated local data storage and alarm mechanisms in no network or weak network environments to ensure continuous data collection and transmission.
In an environment with no network or weak network, the smart medical bracelet can continuously collect and store abnormal physiological data, ensuring uninterrupted real-time monitoring and complete retransmission of data after recovery, thereby improving the rescue response speed and data integrity in extreme network environments.
Smart Images
Figure CN120636092A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of monitoring alarm systems, and in particular to a health monitoring system for epilepsy patients based on a smart medical bracelet. Background Art
[0002] With the advancement of science and technology, smart wearable devices have gradually become an indispensable part of modern life. In the field of health management, smart medical bracelets have been widely used as a convenient and efficient health monitoring tool. By integrating sensors, wireless communications, data processing and other technologies, smart medical bracelets can monitor users' physiological data in real time, providing strong support for personal health management and disease prevention.
[0003] Currently, smart medical bracelets for epilepsy patients collect physiological signals in real time through a built-in three-axis accelerometer (detecting limb tremors of 0.5-10Hz), an optical heart rate sensor (100Hz sampling to capture tachycardia >120bpm), and skin conductance electrodes (monitoring sweat secretion). When the acceleration continues to be >2.5G and the heart rate is >120bpm for 10 seconds, the algorithm determines it as a suspected epileptic seizure, and immediately initiates network transmission: in 4G / 5G coverage areas, the complete data is directly uploaded to the cloud; local vibration is simultaneously triggered to remind the patient, and an alarm notification and real-time location are pushed to the guardian's terminal app.
[0004] The existing smart medical bracelet cannot collect physiological signals when there is no network available, resulting in interruption of real-time monitoring and omission of monitoring data, which affects the normal operation of the alarm system.
[0005] Therefore, there is an urgent need to provide a health monitoring system for epilepsy patients based on a smart medical bracelet to solve the above problems. Summary of the Invention
[0006] The technical problem to be solved by the present invention is to overcome the shortcomings of the above-mentioned prior art and provide a health monitoring system for epilepsy patients based on a smart medical bracelet.
[0007] In order to solve the above technical problems, the present invention adopts a technical solution: providing an epilepsy patient health monitoring system based on a smart medical bracelet, comprising: a signal acquisition module, a network status perception module, and an alarm monitoring module; A signal acquisition module, the signal acquisition module is used to continuously collect physiological data and transmit the collected abnormal physiological data to the alarm monitoring module; A network status perception module, comprising a signal strength detection unit and a network status classification unit. The signal strength detection unit is configured to continuously scan network signals and record the strength values of the network signals at intervals. The network status classification unit is configured to classify the states of the network signals according to the strength values and generate a real-time network status signal. An alarm monitoring module is configured to receive the real-time network status signal through a preset processing unit, dynamically execute corresponding alarm logic according to the real-time network status signal, and perform real-time upgrade processing on the alarm logic through a preset timeout upgrade unit to generate an alarm status signal of the next level, and transmit the alarm status signal to a preset terminal.
[0008] The present invention is further configured such that communication connections are established among the signal acquisition module, the network status perception module and the alarm monitoring module.
[0009] The present invention is further configured as follows: the signal acquisition module includes a GPS positioning chip, an encrypted positioning transmitter, a three-axis accelerometer and an optical heart rate sensor preset in the smart medical bracelet.
[0010] The present invention is further configured as follows: the specific steps of recording the strength value of the network signal at intervals in the network status perception module are as follows: S1, the signal strength detection unit automatically scans the available network signals in the current area at intervals of 5 seconds; S2. Record the strength value of the network signal scanned each time, and store the strength value in a preset storage.
[0011] The present invention is further configured as follows: the method for generating the real-time network status signal in the network status perception module is as follows: Q1. The network status classification unit reads the strength value in the storage and classifies the status according to the following rules: Q11. If the strength value recorded for 6 consecutive times is 0, it is determined that there is no network status; Q12. If the intensity value fluctuates between greater than 0 and less than or equal to 20 decibel milliwatts, it is determined to be a weak network state; Q13. If the intensity value is continuously greater than 20 dBm, it is determined to be a strong network state; Q2. The three classification results of no network status, weak network status and strong network status are bound one by one with the preset digital signal coding and superimposed with time stamps to generate a real-time network status signal.
[0012] The present invention is further configured as follows: the digital signal coding includes a first digital signal coding, a second digital signal coding and a third digital signal coding; A real-time transmission channel is established between the processing unit in the alarm monitoring module and the network status grading unit, and the network status grading unit synchronously pushes the real-time network status signal to the processing unit through the real-time transmission channel at a preset period.
[0013] The present invention is further configured such that the processing unit in the alarm monitoring module dynamically executes corresponding alarm logic according to the real-time network status signal, the specific contents of which are as follows: The processing unit receives the real-time network status signal and performs corresponding operations according to the digital signal code bound to the real-time network status signal: When the processing unit detects the digital signal code, the processing unit adds a corresponding positioning node to the real-time network status signal in the current cycle, and continuously adds positioning sub-nodes of subsequent cycles along the positive direction of the time axis until the processing unit cannot detect the digital signal code, and establishes an index relationship between the plurality of positioning sub-nodes and the positioning node, and stores the plurality of positioning sub-nodes and the positioning node in a preset temporary buffer area; W1. When the processing unit detects that the digital signal code is the first digital signal code, the preset local data temporary storage mechanism is activated: the processing unit obtains the abnormal physiological data collected by the signal acquisition module in real time, establishes an associated storage relationship between the abnormal physiological data and the positioning node and the plurality of positioning sub-nodes in the temporary buffer area, and continuously stores the abnormal physiological data in a preset local storage unit in the smart medical bracelet; W2. When the processing unit re-detects the second digital signal code or the third digital signal code through the real-time transmission channel, the preset data synchronization mechanism is triggered: the abnormal physiological data corresponding to the positioning node and the plurality of positioning sub-nodes associated with the time stamp are extracted from the local storage unit, and the abnormal physiological data are supplementally transmitted to the alarm monitoring module through the preset backup transmission channel; W3. The processing unit in the alarm monitoring module immediately triggers the local collaborative response mechanism preset in the smart medical bracelet based on the abnormal physiological data. That is, if the second digital signal code is detected, the core parameters in the abnormal physiological data are compressed into fragmented data packets for intermittent transmission, and the preset yellow light vibration prompt is started. If the third digital signal code is detected, the terminal is automatically connected to share the patient's abnormal physiological data in real time and share the patient's location through the locator.
[0014] The present invention is further configured such that in step W3, the core parameters in the abnormal physiological data are compressed into fragmented data packets for intermittent transmission, and the specific steps include: W31. The processing unit selects the following core parameters from the abnormal physiological data according to a preset epilepsy feature priority rule: paroxysmal limb tremor waveform data output by a triaxial accelerometer, tachycardia interval records collected by an optical heart rate sensor, and abnormal decrease in blood oxygen saturation data, and compresses the selected core parameters using a preset data compression algorithm to generate compressed data; W32. Divide the compressed data into multiple independent data fragments, add a metadata header containing a patient identifier, a timestamp, a fragment sequence and a check code to each independent data fragment, and dynamically set the transmission interval time of the multiple independent data fragments according to the real-time network status signal corresponding to the second digital signal encoding monitored in real time, and transmit the multiple independent data fragments to the terminal.
[0015] The present invention is further configured such that a first time threshold is preset between detecting the first digital signal code and detecting the second digital signal code or the third digital signal code in steps W1 and W2. If the second digital signal code or the third digital signal code is not detected within the first time threshold, the red light warning vibration and short-range radio frequency location broadcasting system of the encrypted positioning transmitter of the smart medical wristband are synchronously activated. The positioning data packet is cyclically transmitted to the preset peripheral devices within the preset time period.
[0016] The present invention is further configured such that the timeout upgrade unit in the alarm monitoring module performs real-time upgrade processing on the alarm logic, and the specific steps are as follows: H1. When the timeout upgrade unit receives the activation signal of the red light warning vibration and short-range radio frequency location broadcasting system triggered by step W2, it records the duration of the activation signal in real time and starts a countdown; H2. When the duration of the red light warning vibration and the activation signal of the short-range radio frequency location broadcast system reaches a preset second time threshold, it is determined that the activation signal needs to be upgraded, triggering the following corresponding enhanced actions: increasing the red light warning vibration frequency and vibration amplitude, shortening the sending interval of the short-range radio frequency location broadcast, and activating the preset backup radio frequency relay channel; if the duration of the activation signal is less than the second time threshold, the activation signal is interrupted.
[0017] The beneficial effects of the present invention are as follows: 1. This invention utilizes a signal acquisition module, a network status perception module, and an alarm monitoring module to ensure timely emergency response in environments with no or weak network connectivity. When a network disconnection is detected, the device automatically activates a local red light vibration alarm and low-power broadcast. If the network is not restored after a timeout, the device immediately transmits an encrypted positioning signal in a loop. In weak network conditions, the device compresses core physiological data and dynamically adjusts the transmission of fragments. In strong network conditions, the device directly connects to the emergency center to share patient data. This mechanism significantly improves rescue response speed in extreme network environments. 2. The present invention automatically activates the local data temporary storage mechanism when there is no network, allowing the smart medical bracelet to continuously collect and store abnormal physiological data, ensuring uninterrupted real-time monitoring and no data omissions. After the network is restored, the data is fully transmitted to the alarm system, overcoming the monitoring failure defect caused by network disconnection in the existing technology. BRIEF DESCRIPTION OF THE DRAWINGS
[0018] FIG1 is a system flow chart of the present invention; FIG2 is a flow chart of recording network signal strength values at intervals according to the present invention; FIG3 is a flow chart of the present invention for dynamically executing corresponding alarm logic according to real-time network status signals; FIG4 is a flowchart of the timeout upgrade unit of the present invention; In the figure: 1. Signal acquisition module; 2. Network status perception module; 3. Alarm monitoring module. DETAILED DESCRIPTION
[0019] The preferred embodiments of the present invention are described in detail below with reference to the accompanying drawings so that the advantages and features of the present invention can be more easily understood by those skilled in the art, thereby making a clearer and more precise definition of the protection scope of the present invention.
[0020] Please refer to Figure 1- Figure 4 A health monitoring system for epilepsy patients based on a smart medical bracelet includes: a signal acquisition module 1, a network status perception module 2, and an alarm monitoring module 3. Communication connections are established between the signal acquisition module 1, the network status perception module 2, and the alarm monitoring module 3. The signal acquisition module 1, the network status perception module 2, and the alarm monitoring module 3 are all disposed in the smart medical bracelet. Signal acquisition module 1, which is used to continuously collect physiological data and transmit the collected abnormal physiological data to the alarm monitoring module 3; The signal acquisition module 1 includes a GPS positioning chip, an encrypted positioning transmitter, a three-axis accelerometer, and an optical heart rate sensor preset in the smart medical bracelet. Preferably, the encrypted positioning transmitter is constructed based on the Bluetooth 5.0 broadcast channel or the LoRa radio frequency module. The working principle of the signal acquisition module 1 is as follows: the GPS positioning chip obtains coordinate data in real time and generates an encrypted positioning data packet containing the patient ID, timestamp, and geographic coordinates through the hardware encryption engine built into the smart medical bracelet; the encrypted positioning transmitter cyclically broadcasts the encrypted data packet at a specific frequency (such as Bluetooth 1Mbps rate / LoRa 125kHz bandwidth) based on the selected Bluetooth 5.0 broadcast channel or LoRa radio frequency module. Its transmission power automatically adapts to the preset safety radiation threshold (≤ 10dBm) to ensure that the broadcast signal can be captured and decrypted by authorized devices within a coverage radius of 200 meters, and the data is protected from eavesdropping throughout the process; Network status sensing module 2, which includes a signal strength detection unit and a network status classification unit. The signal strength detection unit is used to continuously scan the network signal and record the network signal strength value at intervals; the network status classification unit is used to classify the network signal status according to the strength value and generate a real-time network status signal; The specific steps of recording the network signal strength value at intervals in the network status perception module 2 are as follows: S1, the signal strength detection unit automatically scans the available network signals in the current area at 5-second intervals; S2. Record the strength value of the network signal scanned each time, and store the strength value in a preset storage. Preferably, the storage is a non-volatile memory built into the smart medical bracelet.
[0021] The method for generating the real-time network status signal in the network status perception module 2 is as follows: Q1. The network status classification unit reads the strength value in the storage and classifies the status according to the following rules: Q11. If the strength value recorded is 0 for 6 consecutive times, it is determined to be in a no network state; Q12. If the intensity value fluctuates between greater than 0 and less than or equal to 20 dBm, it is determined to be a weak network state; Q13. If the intensity value is continuously greater than 20 dBm, it is determined to be a strong network state; Q2. Bind the three classification results (no network status, weak network status, and strong network status) to the classification results one by one using a preset digital signal code, and superimpose a time stamp to generate a real-time network status signal; wherein the digital signal code includes a first digital signal code, a second digital signal code, and a third digital signal code; The binding rule of the digital signal code is: no network state is bound to the first digital signal code, weak network state is bound to the second digital signal code, and strong network state is bound to the third digital signal code; The specific operations for superimposing time stamps are as follows: Q21. The network status classification unit calls the real-time clock module built into the smart medical bracelet to generate current timestamp data accurate to the millisecond level; Q22. Convert timestamp data into a date and time string in ISO8601 standard format; Q23. Use the date and time string as an additional field and embed it into the corresponding network status classification result data packet in the form of a key-value pair to generate a real-time network status signal with a time stamp.
[0022] Example 1 When the smart medical bracelet is deployed in the 4G signal edge area, the signal strength detection unit in the network status perception module automatically scans the cellular network signal with a fixed period of 5 seconds. The strength values recorded in 6 consecutive scanning cycles (i.e., 30 seconds) are all 0dBm. The data is stored in the non-volatile memory built into the smart medical bracelet. The network status classification unit reads the strength value sequence in the memory and performs a classification judgment: according to the rule of "if the strength value is 0 for 6 consecutive times, it is judged that there is no network status", the no network status classification result is output, and then the real-time clock module built into the smart medical bracelet is called to generate a timestamp accurate to the millisecond level, convert it into an ISO 8601 standard format string, and finally bind the first digital signal code and the timestamp in the form of a key-value pair to generate a structured real-time network status signal.
[0023] Alarm monitoring module 3, alarm monitoring module 3 is used to receive real-time network status signals through a preset processing unit, dynamically execute corresponding alarm logic according to the real-time network status signal, and perform real-time upgrade processing on the alarm logic through a preset timeout upgrade unit to generate the next level of alarm status signal, and transmit the alarm status signal to a preset terminal, preferably the terminal includes the guardian's mobile phone terminal and the emergency center server.
[0024] A real-time transmission channel is established between the processing unit in the alarm monitoring module 3 and the network status grading unit. The network status grading unit synchronously pushes the real-time network status signal to the processing unit through the real-time transmission channel at a preset period (5-second interval). Preferably, the real-time transmission channel establishes a direct memory access link through the internal bus of the smart medical bracelet. The network status grading unit writes the real-time network status signal encapsulated in JSON format to the preset shared memory area every 5 seconds, triggering a hardware-level interrupt signal to notify the processing unit to read it, and the data synchronization delay is ≤5ms.
[0025] Among them, the processing unit in the alarm monitoring module 3 dynamically executes the corresponding alarm logic according to the real-time network status signal, and its specific content is: The processing unit receives the real-time network status signal and performs corresponding operations according to the digital signal code bound to the real-time network status signal: When the processing unit detects the digital signal code, it adds the corresponding positioning node to the real-time network status signal in the current cycle, and continuously adds the positioning sub-nodes of the subsequent cycles along the positive direction of the time axis (increasing direction of time sequence) until the processing unit cannot detect the digital signal code, and establishes an index relationship between the multiple positioning sub-nodes and the positioning node, and the multiple positioning sub-nodes and the positioning node are stored in a preset temporary buffer area. Preferably, the temporary buffer area is a dual-port static random access memory built into the smart medical bracelet; The processing unit establishes a bidirectional index between the positioning node (parent node) and the positioning child node based on the timestamp sequence: Create a child node pointer array (maximum length 128) in the positioning node data structure to store the memory address of the first positioning child node; each positioning child node contains a predecessor node (pointing to the parent node) and a successor node pointer (pointing to the next sequential child node), forming a sequential bidirectional linked list, thereby establishing an index relationship; W1. When the processing unit detects that the digital signal code is the first digital signal code, the preset local data temporary storage mechanism is activated: the processing unit obtains the abnormal physiological data collected by the signal acquisition module in real time, and establishes an associated storage relationship between the abnormal physiological data and the positioning node and multiple positioning sub-nodes in the temporary buffer area, and continuously saves the abnormal physiological data to the preset local storage unit in the smart medical bracelet; The method for establishing the associated storage relationship is as follows: the processing unit establishes a timestamp synchronization mechanism to precisely align the time information of the abnormal physiological data with the millisecond-level time stamps of the positioning node and its child nodes. A dedicated data block is allocated in the local storage unit. A bidirectional positioning mechanism (node hash address → data block start address, data block end address → child node pointer) is used to achieve bidirectional mapping and binding between the abnormal physiological data positioning node and multiple positioning child nodes. W2. When the processing unit re-detects the second digital signal code or the third digital signal code through the real-time transmission channel, the preset data synchronization mechanism is triggered: the abnormal physiological data corresponding to the positioning node and the multiple positioning sub-nodes associated with the time stamp are extracted from the local storage unit, and supplemented to the alarm monitoring module 3 through the preset backup transmission channel; The abnormal physiological data extraction step includes: parsing the timestamps of the positioning node and the positioning sub-node into precise time range query instructions through a time stamp converter set in the smart medical bracelet, scanning the local storage unit for associated data blocks matching the time window by an address mapping engine, and directly locating the abnormal physiological data storage area using the physical address pointer in the node data structure (derived from the hash address-storage address mapping table established by W1), and outputting the abnormal physiological data to the transmission queue after cyclic redundancy check; When the network status classification unit determines that the network status is weak, a real-time network status signal bound to the second digital signal code is generated; when the network status classification unit determines that the network status is strong, a real-time network status signal bound to the third digital signal code is generated; W3, the processing unit in the alarm monitoring module 3 immediately triggers the local collaborative response mechanism preset in the smart medical bracelet based on the abnormal physiological data. That is, if the second digital signal code is detected, the core parameters in the abnormal physiological data are compressed into (≤100KB) fragmented data packets for intermittent transmission, and the preset yellow light vibration prompt is activated. If the third digital signal code is detected, the terminal is automatically connected to share the patient's abnormal physiological data in real time and share the patient's location through the locator.
[0026] In step W3, the core parameters of the abnormal physiological data are compressed into fragmented data packets for intermittent transmission. The specific steps include: W31. The processing unit selects the following core parameters from the abnormal physiological data according to a preset epilepsy feature priority rule: paroxysmal limb tremor waveform data output by the triaxial accelerometer, tachycardia interval records collected by the optical heart rate sensor, and abnormal decrease in blood oxygen saturation data, and compresses the selected core parameters using a preset data compression algorithm to generate compressed data; The processing unit performs two-stage compression via an embedded compression engine pre-installed in the smart medical bracelet. First-stage compression is achieved by using differential pulse code modulation to eliminate time-domain redundancy for paroxysmal limb tremor waveform data. Second-stage compression is achieved by applying variable-length entropy coding based on a dynamic Huffman code table to optical tachycardia recordings and abnormal blood oxygen decline data. The compressed streams are aggregated using the LZ77 sliding window algorithm to generate compressed data packets with a size reduction of 40% to 60%. A 4-byte CRC-32 checksum is then appended. The entire process is completed within 10ms by a hardware accelerator. W32. Divide the compressed data into multiple independent data fragments, add a metadata header containing a patient identifier, a timestamp, a fragment sequence and a check code to each independent data fragment, and dynamically set the transmission interval time of the multiple independent data fragments according to the real-time monitored second digital signal encoding corresponding real-time network status signal, and transmit the multiple independent data fragments to the terminal.
[0027] Among them, a first time threshold is preset between the detection of the first digital signal code and the detection of the second digital signal code or the third digital signal code in step W1 to step W2. If the second digital signal code or the third digital signal code is not detected within the first time threshold, the red light warning vibration and short-range radio frequency location broadcast system of the encrypted positioning transmitter of the smart medical bracelet are synchronously activated, and the positioning data packet is cyclically transmitted to the preset peripheral device within a preset time period (every 20 seconds). Preferably, the first time threshold is 60 seconds, and the peripheral device is a mobile terminal or a fixed relay station with an emergency response APP installed and Bluetooth / LoRa listening mode enabled.
[0028] Among them, the timeout upgrade unit in the alarm monitoring module 3 performs real-time upgrade processing on the alarm logic, and the specific steps are as follows: H1. When the timeout upgrade unit receives the activation signal of the red light warning vibration and short-range radio frequency location broadcasting system triggered by step W2, it records the duration of the activation signal in real time and starts a countdown; H2. When the duration of the red light warning vibration and the activation signal of the short-range radio frequency location broadcast system reaches the preset second time threshold, it is determined that the activation signal needs to be upgraded, triggering the following enhanced corresponding actions: increasing the red light warning vibration frequency and vibration amplitude, shortening the sending interval of the short-range radio frequency location broadcast, and activating the preset backup radio frequency relay channel; if the duration of the activation signal is less than the second time threshold, the activation signal is interrupted, and the preferred second time threshold is 120 seconds.
[0029] Example 2: An epileptic patient wears this smart medical bracelet and enters an underground parking lot (the 4G signal strength is 0dBm for 55 seconds). The network status classification unit determines that there is no network status. The processing unit generates a positioning node at 17:30:00 and adds child nodes to the temporary cache along the time sequence. The system activates local data temporary storage: real-time storage of the 4.2Hz tremor waveform detected by the three-axis accelerometer and the 138bpm data collected by the optical heart rate sensor, and establishes a two-way address mapping with the node. The network is not restored until 17:31:05 (exceeding the 60-second threshold). The red light warning vibration (2Hz) and LoRa broadcast (20dBm power / 20-second interval) are triggered. The encrypted coordinates are broadcast to the preset relay station. At 17:32:05 (the broadcast lasts for 60 seconds), the second time threshold is reached. The timeout upgrade unit initiates an enhanced response: the red light vibration frequency is increased to 5Hz, the broadcast interval is shortened to 5 seconds, and the LoRa Mesh relay is activated (the coverage radius is expanded to 500). At 17:32:30, the patrol relay station captured the broadcast packet and transmitted it to the emergency center via the Mesh network. The entire process took 2 minutes and 30 seconds.
[0030] The above descriptions are merely embodiments of the present invention and are not intended to limit the scope of the present invention. Any equivalent structures or equivalent process changes made using the contents of the present invention's description and drawings, or directly or indirectly applied to other related technical fields, are also included in the scope of the present invention's patent protection.
Claims
1. A health monitoring system for epilepsy patients based on a smart medical bracelet, characterized by: include: Signal acquisition module (1), network status perception module (2), alarm monitoring module (3); A signal acquisition module (1), the signal acquisition module (1) is used to continuously acquire physiological data and transmit the acquired abnormal physiological data to the alarm monitoring module (3); A network status sensing module (2), the network status sensing module (2) comprising a signal strength detection unit and a network status classification unit, the signal strength detection unit being used to continuously scan network signals and record the strength values of the network signals at intervals; the network status classification unit being used to classify the states of the network signals according to the strength values and generate real-time network status signals; An alarm monitoring module (3) is used to receive the real-time network status signal through a preset processing unit, dynamically execute corresponding alarm logic according to the real-time network status signal, and perform real-time upgrade processing on the alarm logic through a preset timeout upgrade unit to generate an alarm status signal of the next level, and transmit the alarm status signal to a preset terminal.
2. The epilepsy patient health monitoring system based on a smart medical bracelet according to claim 1, characterized in that: Communication connections are established between the signal acquisition module (1), the network status perception module (2) and the alarm monitoring module (3).
3. The epilepsy patient health monitoring system based on a smart medical bracelet according to claim 2, characterized in that: The signal acquisition module (1) includes a GPS positioning chip, an encrypted positioning transmitter, a three-axis accelerometer and an optical heart rate sensor preset in the smart medical bracelet.
4. The epilepsy patient health monitoring system based on a smart medical bracelet according to claim 3 is characterized by: The specific steps of recording the strength value of the network signal at intervals in the network status perception module (2) are as follows: S1, the signal strength detection unit automatically scans the available network signals in the current area at intervals of 5 seconds; S2. Record the strength value of the network signal scanned each time, and store the strength value in a preset storage.
5. The epilepsy patient health monitoring system based on a smart medical bracelet according to claim 4 is characterized by: The method for generating the real-time network status signal in the network status perception module (2) is as follows: Q1. The network status classification unit reads the strength value in the storage and classifies the status according to the following rules: Q11. If the strength value recorded for 6 consecutive times is 0, it is determined that there is no network status; Q12. If the intensity value fluctuates between greater than 0 and less than or equal to 20 decibel milliwatts, it is determined to be a weak network state; Q13. If the intensity value is continuously greater than 20 dBm, it is determined to be a strong network state; Q2. The three classification results of no network status, weak network status and strong network status are bound one by one with the preset digital signal coding and superimposed with time stamps to generate a real-time network status signal.
6. The epilepsy patient health monitoring system based on a smart medical bracelet according to claim 5, characterized in that: The digital signal code includes a first digital signal code, a second digital signal code and a third digital signal code; A real-time transmission channel is established between the processing unit in the alarm monitoring module (3) and the network status classification unit, and the network status classification unit synchronously pushes the real-time network status signal to the processing unit through the real-time transmission channel at a preset period.
7. The epilepsy patient health monitoring system based on a smart medical bracelet according to claim 6, characterized in that: The processing unit in the alarm monitoring module (3) dynamically executes corresponding alarm logic according to the real-time network status signal, the specific contents of which are as follows: The processing unit receives the real-time network status signal and performs corresponding operations according to the digital signal code bound to the real-time network status signal: When the processing unit detects the digital signal code, the processing unit adds a corresponding positioning node to the real-time network status signal in the current cycle, and continuously adds positioning sub-nodes of subsequent cycles along the positive direction of the time axis until the processing unit cannot detect the digital signal code, and establishes an index relationship between the plurality of positioning sub-nodes and the positioning node, and stores the plurality of positioning sub-nodes and the positioning node in a preset temporary buffer area; W1. When the processing unit detects that the digital signal code is the first digital signal code, the preset local data temporary storage mechanism is activated: the processing unit obtains the abnormal physiological data collected by the signal acquisition module in real time, establishes an associated storage relationship between the abnormal physiological data and the positioning node and the plurality of positioning sub-nodes in the temporary buffer area, and continuously stores the abnormal physiological data in a preset local storage unit in the smart medical bracelet; W2. When the processing unit re-detects the second digital signal code or the third digital signal code through the real-time transmission channel, a preset data synchronization mechanism is triggered: the abnormal physiological data corresponding to the positioning node and the plurality of positioning sub-nodes associated with the time stamp are extracted from the local storage unit, and supplemented to the alarm monitoring module (3) through a preset backup transmission channel; W3, the processing unit in the alarm monitoring module (3) immediately triggers the local collaborative response mechanism preset in the smart medical bracelet according to the abnormal physiological data, that is, if the second digital signal code is detected, the core parameters in the abnormal physiological data are compressed into fragmented data packets for intermittent transmission, and the preset yellow light vibration prompt is activated; if the third digital signal code is detected, the terminal is automatically connected to share the patient's abnormal physiological data in real time and share the patient's location through the locator.
8. The epilepsy patient health monitoring system based on a smart medical bracelet according to claim 7, characterized in that: In step W3, the core parameters of the abnormal physiological data are compressed into fragmented data packets for intermittent transmission, and the specific steps include: W31. The processing unit selects the following core parameters from the abnormal physiological data according to a preset epilepsy feature priority rule: paroxysmal limb tremor waveform data output by a triaxial accelerometer, tachycardia interval records collected by an optical heart rate sensor, and abnormal decrease in blood oxygen saturation data, and compresses the selected core parameters using a preset data compression algorithm to generate compressed data; W32. Divide the compressed data into multiple independent data fragments, add a metadata header containing a patient identifier, a timestamp, a fragment sequence and a check code to each independent data fragment, and dynamically set the transmission interval time of the multiple independent data fragments according to the real-time network status signal corresponding to the second digital signal encoding monitored in real time, and transmit the multiple independent data fragments to the terminal.
9. The epilepsy patient health monitoring system based on a smart medical bracelet according to claim 8, characterized in that: In steps W1 to W2, a first time threshold is preset between detecting the first digital signal code and detecting the second digital signal code or the third digital signal code. If the second digital signal code or the third digital signal code is not detected within the first time threshold, the red light warning vibration and short-range radio frequency location broadcast system of the encrypted positioning transmitter of the smart medical bracelet are synchronously activated, and positioning data packets are cyclically transmitted to preset peripheral devices within a preset time period.
10. The epilepsy patient health monitoring system based on a smart medical bracelet according to claim 9, characterized in that: The timeout upgrade unit in the alarm monitoring module (3) performs real-time upgrade processing on the alarm logic, and the specific steps are as follows: H1. When the timeout upgrade unit receives the activation signal of the red light warning vibration and short-range radio frequency location broadcasting system triggered by step W2, it records the duration of the activation signal in real time and starts a countdown; H2. When the duration of the red light warning vibration and the activation signal of the short-range radio frequency location broadcast system reaches a preset second time threshold, it is determined that the activation signal needs to be upgraded, triggering the following corresponding enhanced actions: increasing the red light warning vibration frequency and vibration amplitude, shortening the sending interval of the short-range radio frequency location broadcast, and activating the preset backup radio frequency relay channel; if the duration of the activation signal is less than the second time threshold, the activation signal is interrupted.