Brain-computer interface system for health monitoring of febrile convulsion

Abstract

The invention discloses a brain-computer interface system for health monitoring of febrile convulsion. The brain-computer interface system comprises a head-mounted signal acquisition module, a motion signal acquisition module and a signal analysis device, wherein the head-mounted signal acquisition module comprises an electroencephalogram acquisition unit and a temperature acquisition unit, the electroencephalogram acquisition unit is used for acquiring electroencephalogram signals of a detected person when the head-mounted signal acquisition module is worn on the head of the detected person, and the temperature acquisition unit is used for acquiring body temperature signals of the detected person; the motion signal acquisition module is used for acquiring a motion signal of a detected person; and the signal analysis device is used for performing febrile convulsion state analysis on the detected person according to a combined analysis result of the electroencephalogram signal and the motion signal, the resting state electroencephalogram data corresponding to the detected person and the body temperature signal to obtain an analysis result. According to the scheme provided by the embodiment of the invention, the febrile convulsion can be timely and conveniently monitored.

Description

Technical Field

[0001] The present application belongs to the field of computer technology and medical technology, and more specifically, to a brain-computer interface system for febrile convulsion health monitoring. Background Art

[0002] Febrile seizures are a common neurological disorder in children, usually occurring in infants and children between 6 months and 5 years old. Febrile seizures are associated with a sharp rise in body temperature, which may be caused by infection, vaccination or other conditions that cause a rise in body temperature. This condition often occurs very suddenly and can cause great distress and stress to the child and family. Although febrile seizures do not lead to long-term health problems in most cases, early warning can undoubtedly greatly reduce the psychological pressure on the family, and measures such as cooling can be taken in advance to prevent the occurrence of convulsions and lead to serious diseases such as epilepsy.

[0003] Therefore, how to effectively and timely detect febrile convulsions in children with elevated body temperature, effectively warn of febrile convulsions, and effectively prognose the disease is an issue that medical staff and parents are eager to solve. Summary of the invention

[0004] The purpose of the embodiments of the present application is to provide a brain-computer interface system for febrile convulsion health monitoring, which can monitor febrile convulsions in a timely and convenient manner.

[0005] Based on the above purpose, the embodiment of the present application provides a brain-computer interface system for febrile convulsion health monitoring, including: a head-mounted signal acquisition module, a motion signal acquisition module and a signal analysis device;

[0006] The head-mounted signal acquisition module includes: an EEG acquisition unit for acquiring EEG signals of the detected person when the head-mounted signal acquisition module is worn on the head of the detected person, and a temperature acquisition unit for acquiring body temperature signals of the detected person;

[0007] The motion signal acquisition module is used to acquire the motion signal of the detected person;

[0008] The signal analysis device is used to analyze the febrile convulsion state of the detected person based on the combined analysis results of the EEG signal and the motion signal, the corresponding resting EEG data of the detected person, and the body temperature signal to obtain the analysis result.

[0009] Through the febrile convulsion health monitoring brain-computer interface system provided by the embodiment of the present application, in medical care scenarios such as hospitals, when professional medical staff determine that the patient may have the risk of febrile convulsion, they can prescribe the equipment related to the febrile convulsion health monitoring brain-computer interface system provided by the embodiment of the present application to the patient or the patient's family. The patient, as the person being tested, can wear the head-mounted signal acquisition module of the febrile convulsion health monitoring brain-computer interface system provided by the embodiment of the present application in the daily home environment. Thus, in the case where the patient is young and it is difficult for him to spontaneously perceive and inform the medical staff of the occurrence of febrile convulsion symptoms, the patient's family can use the febrile convulsion health monitoring brain-computer interface system of the embodiment of the present application to monitor the patient in real time and accurately. At the same time, the relevant equipment of the system provided by the embodiment of the present application is portable and suitable for long-term use, so that the patient and his guardian can respond to sudden febrile convulsions in a timely manner, significantly reducing the cost of monitoring the patient. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0011] Figure 1 A schematic diagram of the structure of a brain-computer interface system for febrile convulsion health monitoring provided in an embodiment of the present application;

[0012] Figure 2 A schematic diagram of the host structure of an embodiment of the present application;

[0013] Figure 3 This is a schematic diagram of wearing a head-mounted signal acquisition module in an embodiment of the present application;

[0014] Figure 4 This is a schematic diagram of the headwear in the embodiment of the present application;

[0015] Figure 5A A schematic diagram of a comb-shaped dry electrode according to an embodiment of the present application;

[0016] Figure 5B This is a schematic diagram of the structure of the comb-shaped EEG dry electrode and the wearable headscarf according to an embodiment of the present application;

[0017] Figure 6 This is a schematic diagram of the host circuit structure of an embodiment of the present application;

[0018] Figure 7 This is a 10-channel EEG acquisition circuit diagram of an embodiment of the present application;

[0019] Figure 8This is a 1-channel temperature acquisition circuit according to an embodiment of the present application.

[0020] The reference numerals in the above drawings are as follows:

[0021] 11. Head-mounted signal acquisition module; 12. Motion signal acquisition module; 13. Signal analysis device; 21. Touch screen; 22. Buzzer; 23. Interface; 31. Wearable headscarf; 32. Host; 33. EEG dry electrode; 41. Host; 42. EEG dry electrode; 421. EEG signal reference electrode; 43. Body temperature signal acquisition electrode; 51. Comb electrode; 52. Thermal conductive metal; 53. Wearable headscarf; 54. Electrode; 71. Low-pass filter circuit; 72. Differential amplifier; 73. Operational amplifier. DETAILED DESCRIPTION

[0022] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0023] The brain-computer interface system for febrile convulsion health monitoring provided in the embodiment of the present application can be implemented through simple operation, easy-to-carry volume and low cost, and can also be used in home health monitoring and care scenarios.

[0024] The brain-computer interface system for febrile convulsion health monitoring provided by the embodiment of the present application, its head-mounted signal acquisition module and motion acquisition module can be worn on the corresponding parts of the body of the person being tested, collect the brain's electroencephalogram signals and the motion signals generated by the body, and send the collected signals of the person being tested to the signal analysis device to obtain the analysis results. In the home health monitoring scenario, there are often no professional medical staff and no hospitalization medical care conditions. Through the head-mounted signal acquisition module and the motion signal acquisition module, the body changes of the person being tested can be monitored in real time when the person is in a more dangerous state, thereby improving the timeliness of the discovery of febrile convulsions and improving the prognosis of the person being tested in the case of sudden febrile convulsions in the absence of professional medical staff and hospitalization medical care conditions.

[0025] Figure 1 The structure diagram of a brain-computer interface system for febrile convulsion health monitoring provided in an embodiment of the present application is shown, including: a head-mounted signal acquisition module 11, a motion signal acquisition module 12 and a signal analysis device 13;

[0026] The head-mounted signal acquisition module 11 includes: an EEG acquisition unit for collecting EEG signals of the detected person when the head-mounted signal acquisition module is worn on the head of the detected person, and a temperature acquisition unit for collecting body temperature signals of the detected person;

[0027] A motion signal acquisition module 12, used to acquire motion signals of detected persons;

[0028] The signal analysis device 13 is used to analyze the febrile convulsion state of the detected person based on the combined analysis results of the EEG signal and the motion signal, the corresponding resting EEG data of the detected person, and the body temperature signal to obtain the analysis result.

[0029] In this embodiment, the EEG signal can represent the spontaneous and rhythmic electrical activities of brain cell groups.

[0030] The head-mounted signal acquisition module has a head-mounted piece that can be worn on the human head. The head-mounted piece can be, for example, a hat-shaped fabric, a mesh fabric, a wearable headscarf, or one of the adhesive pieces. The EEG acquisition unit is fixed on the head-mounted piece. The EEG acquisition unit may include electrodes (such as EEG signal acquisition electrodes, EEG signal reference electrodes, problem signal acquisition electrodes, etc.). When the head-mounted piece is worn on the head, the electrodes included in the EEG acquisition unit are also worn on the head, and the electrodes are in contact with the head of the person being tested to detect EEG bio-signals. The temperature acquisition unit can also obtain the body temperature bio-signals of the person being tested through electrodes or temperature sensors. The electrodes or sensors serving as the temperature acquisition unit are fixed on the head-mounted piece, so that when the head-mounted piece is worn on the head, the electrodes or temperature sensors included in the temperature acquisition unit are also worn on the head of the person being tested.

[0031] The motion signal acquisition module may also include a body-worn piece that can be worn on a human body part, such as a strap that can be worn on an arm, a clamp that can be fixed on a wrist or ankle, or a suction cup that can be attached to the skin. The motion signal acquisition module may also include an angular velocity sensor and a linear velocity sensor to obtain the rotational motion bio-signal and the translational motion bio-signal of the detected person.

[0032] In another embodiment, the body-worn component included in the motion signal acquisition module may reuse the head-worn component of the head-worn signal acquisition module.

[0033] In this embodiment, the signal analysis device can be set in at least one host. The host can be set in the head-mounted signal acquisition module, or it can be independent of the head-mounted signal acquisition module and the motion signal acquisition module, and have a larger volume, thereby providing higher computing power and performing faster and more accurate analysis of EEG signals, body temperature signals and motion signals.

[0034] Figure 2 A schematic diagram of the host structure provided in a head-mounted signal acquisition module provided in an embodiment of the present application. The host may include a touch screen 21, a buzzer 22 for alarming, and an interface 23. The interface 23 is used to connect electrodes, sensors, and other parts, and the buzzer 22 is used to generate an alarm signal in the event of a febrile convulsion, so that the person to be detected and the guardian around him can respond in time. A circuit structure is provided inside the host, which is mainly used to realize the acquisition of multimodal physiological signals (biosignals) such as EEG signals, body temperature signals, and motion signals of the person to be detected, and the processing and analysis of EEG signals, body temperature signals, and motion signals are completed by the embedded algorithm of the MCU (Microcontroller Unit) of the host, so as to realize the alarm of epileptic seizure in the case of febrile convulsion, and emit an alarm sound through the buzzer. In addition, by using the wireless and networking module in the host, the collected multimodal physiological signals such as EEG signals, body temperature signals, and motion signals can be wirelessly sent to external terminal devices, such as mobile phones, tablets, etc., and uploaded to the cloud database, providing access to professional users such as medical staff. The host realizes human-computer interaction and displays the waveform of the collected signal through the screen. At the same time, the interface configured by the host is used to connect with the electrodes of the head-mounted signal acquisition module, USB (Universal Serial Bus) devices, etc.

[0035] The signal analysis device can use corresponding chips, such as MCU (Microcontroller Unit) and CPU (Central Processing Unit) to analyze the febrile convulsion state of the person being tested based on the combined analysis results of the EEG signal and the motion signal, the corresponding resting EEG data of the person being tested, and the body temperature signal.

[0036] In another embodiment, the signal analysis device may also be arranged in the cloud, utilizing the more powerful data storage and computing capabilities of the cloud to achieve faster and more accurate analysis.

[0037] Febrile convulsions are also called febrile convulsions or high fever convulsions. Febrile convulsions are clinically common in infants and young children, and are more common in the age group of 6 months to 5 years old. They often occur in the early stage of infection with high fever (for example, greater than 38.5°C). The main manifestations are sudden systemic or local muscle spasms and tonic convulsions, accompanied by strabismus, straight gaze, upward rotation of the eyes, impaired consciousness, etc. When a febrile convulsion occurs, the patient needs to be given timely and correct treatment in a short period of time to avoid causing epilepsy and other adverse consequences. Therefore, when young patients have a fever, in order to respond to possible febrile convulsions in a timely manner, professional medical staff need to be around the patients for real-time monitoring. However, when most young patients have a fever, there are actually no actual conditions for medical staff to monitor them in real time.

[0038] Based on the embodiments of the present application, in medical care scenarios such as hospitals, when professional medical staff determine that a patient may have a risk of febrile convulsions, they can prescribe equipment related to the brain-computer interface system for febrile convulsion health monitoring provided by the embodiments of the present application to the patient or the patient's family. The patient, as the person being tested, can wear the head-mounted signal acquisition module of the brain-computer interface system for febrile convulsion health monitoring provided by the embodiments of the present application in the daily home environment. Thus, when the patient is young and it is difficult for him to spontaneously perceive and inform the medical staff of the occurrence of febrile convulsion symptoms, the patient's family can use the brain-computer interface system for febrile convulsion health monitoring of the embodiments of the present application to monitor the patient in real time and accurately, respond to sudden febrile convulsions in a timely manner, and significantly reduce the cost of monitoring the patient.

[0039] In one embodiment of the present application, the EEG acquisition unit includes multiple EEG signal acquisition electrodes and EEG signal reference electrodes; the temperature acquisition unit includes a body temperature signal acquisition sensor; the EEG signal acquisition electrodes, the EEG signal reference electrodes and the body temperature signal acquisition sensor are arranged on a band-shaped wearable headscarf; when worn on the head of the person being tested, the multiple EEG signal acquisition electrodes are located at different positions on the head of the person being tested.

[0040] Figure 3 This is a schematic diagram of wearing a wearable headscarf 31 provided in an embodiment of the present application. Figure 3 The brain-computer interface system for febrile convulsion health monitoring provided in this embodiment is wearable in the form of a headscarf. When a host 32 is configured, the host 32 can be directly hung on the wearable headscarf, or it can be separated from the wearable headscarf and connected to the electrical interface on the wearable headscarf through an extension wire. The wearable headscarf is equipped with EEG dry electrodes 33 and a body temperature sensor, which are mainly used to measure EEG signals and body temperature signals.

[0041] In an embodiment of the present application, the EEG signal collection electrodes and the EEG signal reference electrodes may be sheet electrodes. When the wearable headscarf is worn on the head of the person being tested, the EEG signal collection electrodes and the EEG signal reference electrodes are in contact with the head of the person being tested, thereby being able to detect the potential signals of the body of the person being tested.

[0042] The embodiment of the present application can obtain multi-directional EEG signals by setting up multiple EEG signal collection electrodes, thereby facilitating a more accurate analysis of febrile convulsions.

[0043] In one embodiment, the EEG signal acquisition electrode, the EEG signal reference electrode and the body temperature signal acquisition sensor are arranged at a first set position of the wearable headscarf, so that when worn, the EEG signal acquisition electrodes respectively cover a second set position of the brain of the person being tested, and the EEG signal reference electrode and the body temperature signal acquisition sensor are located at the forehead of the person being tested.

[0044] In the embodiment of the present application, the EEG signal reference electrode and each EEG signal collection electrode form a loop, so that the EEG biological signal collected by each EEG signal collection electrode can be referenced with the same reference signal, with higher accuracy.

[0045] In one embodiment, the second set position includes the sequence of O2, T6, T4, F8, Fp2, Fp1, F7, T3, T5, and O1 in the electrode placement sequence set based on the 10-20 system.

[0046] The 10-20 system of electrode placement is the standard electrode placement method specified by the International Electroencephalography Society. The distance from the midpoint of the frontal pole to the root of the nose and the distance from the occipital point to the external occipital protuberance each account for 10% of the total length of this line, and the remaining points are separated by 20% of the total length of this line, so it is named the 10-20 system.

[0047] The electrode positions of the 10-20 system are mainly based on the skull and do not vary due to differences in individual head circumference or head shape. The electrode positions in the 10-20 system are described as follows:

[0048] Anterior-posterior sagittal line: Draw a line from the root of the nose to the external occipital tuberosity. On this line, mark 5 points from front to back, named in sequence: frontal pole midpoint (Fpz), frontal midpoint (Fz), central point (Cz), vertex (Pz), occipital point (Oz). The distance from the frontal pole midpoint to the root of the nose and the distance from the occipital point to the external occipital tuberosity each account for 10% of the total length of this line, and the remaining points are separated by 20% of the total length of this line;

[0049] Horizontal position: draw a line from the left ear prepoint (the depression at the root of the zygomatic arch in front of the tragus) through the central point to the right ear prepoint, and mark the left temporal middle (T3), right temporal middle (T4), left central (C3), and right central (C4) symmetrically on the left and right sides of this line. The distance between T3 and T4 points and the ear prepoint is 10% of the total length of this line, and the remaining points (including Cz point) are separated by 20% of the total length of this line;

[0050] Lateral position: Take the left and right lines from Fpz point to the occipital point through T3 and T4 points, and mark the left frontal pole (Fp1), right frontal pole (Fp2), left anterior temporal (F7), right anterior temporal (F8), left posterior temporal (T5), right posterior temporal (T6), left occipital (O1), and right occipital (O2) points symmetrically from front to back on the left and right lines. The distance from Fp1 and Fp2 points to the midpoint of the frontal pole (Fpz) and the distance from O1 and O2 points to Oz point each account for 10% of the total length of this line, and the remaining points (including T3 and T4) are separated by 20% of the total length of this line;

[0051] The remaining left frontal (F3) and right frontal (F4) points are located between Fp1, Fp2 and C3, C4 points respectively; the left parietal (P3) and right parietal (P4) points are located between C3, C4 and O1, O2 points respectively.

[0052] Figure 4 The figure shows a schematic diagram of the unfolding of a wearable headscarf according to an embodiment of the present application, on which a head-mounted host 41 and an EEG dry electrode 42 are fixed. The EEG dry electrode 42 includes 10 EEG signal acquisition electrodes and an EEG signal reference electrode (REF, Reference) 421. The 10 EEG signal acquisition electrodes respectively cover the positions O2, T6, T4, F8, Fp2, Fp1, F7, T3, T5, and O1 in the electrode placement method of the 10-20 system. In addition, the EEG signal reference electrode 421 and the body temperature signal acquisition electrode 43 are located at the forehead of the person to be tested when the head-mounted headscarf is worn on the head of the person to be tested.

[0053] In other embodiments of the present application, the EEG signal acquisition electrodes may also be set at other positions described in the 10-20 system.

[0054] In one embodiment, the signal analysis device includes: an EEG signal acquisition circuit, a body temperature signal acquisition circuit, a data preprocessing unit, and a result unit;

[0055] The EEG signal acquisition circuit is used to acquire the EEG biological signal of the detected person through the EEG signal acquisition electrode; and convert the EEG biological signal into an EEG signal that can be recognized by the data preprocessing unit;

[0056] The body temperature signal acquisition circuit is used to obtain the body temperature biological signal of the detected person through the body temperature signal acquisition sensor; and convert the body temperature biological signal into a body temperature signal that can be recognized by the data preprocessing unit;

[0057] A data preprocessing unit, used for preprocessing EEG signals, body temperature signals and motion signals;

[0058] The result unit is used to obtain the analysis result according to the preprocessed EEG signal, the preprocessed body temperature signal and the preprocessed motion signal.

[0059] The above-mentioned EEG bio-signals and body temperature bio-signals correspond to EEG physiological signals and body temperature physiological signals respectively.

[0060] In this embodiment, preprocessing of EEG signals may refer to operations such as screening and supplementing of signals collected by different collection components, so that the signals collected by different collection components are consistent in sampling parameters such as sampling time and sampling unit, and have the same reference standard.

[0061] In one embodiment, the EEG signal acquisition circuit includes: a channel circuit corresponding to each EEG signal acquisition electrode;

[0062] Each channel circuit includes: a capacitor resistor filter unit, a differential amplifier, and an operational amplifier;

[0063] The input end of the capacitor-resistance filter unit is connected to the corresponding EEG signal acquisition electrode and the EEG signal reference electrode;

[0064] The input end of the differential amplifier is connected to the capacitor-resistance filter unit, which is used to differentially amplify the differential signal of the corresponding EEG signal acquisition electrode and the EEG signal reference electrode to obtain a differentially amplified differential signal;

[0065] The input end of the operational amplifier is connected to the output end of the differential amplifier to amplify the differential signal of the differential amplifier to obtain the brain electrical bio-signal.

[0066] The capacitor-resistance filtering unit may be configured to retain the signal of the set frequency and filter out the remaining signal; or may be configured to filter out the signal of the set frequency and retain the remaining signal.

[0067] In this embodiment, through filtering, differential amplification and operational amplification operations, useful components in the collected signal can be retained, and components in the signal that are of little use or may cause interference can be removed, which helps to improve the accuracy of signal analysis.

[0068] In one embodiment, the data preprocessing unit includes: a signal alignment subunit and a signal segmentation subunit;

[0069] A signal alignment subunit is used to align sampling parameters of the EEG signal, the body temperature signal and the motion signal in sequence, and obtain an aligned EEG signal, an aligned body temperature signal and an aligned motion signal accordingly;

[0070] The signal segmentation subunit is used to segment the aligned EEG signals, the aligned body temperature signals and the aligned motion signals in sequence according to preset time slices to obtain preprocessed EEG signals, preprocessed body temperature signals and preprocessed motion signals.

[0071] In this embodiment, by aligning and segmenting the signals, the signals collected by different collection components have the same reference standard, and the continuous signal is segmented into multiple segments, so as to obtain accurate analysis results.

[0072] In one embodiment, the signal alignment subunit is further configured to:

[0073] Aligning the acquisition times of the EEG signal, the body temperature signal, and the motion signal to obtain a time-aligned EEG signal, a time-aligned body temperature signal, and a time-aligned motion signal;

[0074] Aligning the sampling frequencies of the time-aligned EEG signals, the time-aligned body temperature signals, and the time-aligned motion signals in sequence to obtain frequency-aligned EEG signals, frequency-aligned body temperature signals, and frequency-aligned motion signals;

[0075] According to the frequency-aligned EEG signals, the frequency-aligned body temperature signals and the frequency-aligned motion signals, aligned EEG signals, aligned body temperature signals and aligned motion signals are obtained accordingly.

[0076] In other implementations, signal alignment may be performed based on other sampling parameters besides sampling frequency and sampling time, so that the EEG signals, body temperature signals, and motion signals have the same reference standards in terms of other sampling parameters.

[0077] In one embodiment, the result unit is further configured to:

[0078] Obtaining a power spectrum image according to the preprocessed EEG signal, the preprocessed body temperature signal, and the preprocessed motion signal;

[0079] The analysis results are obtained based on the power spectrum image and the corresponding resting-state EEG data of the detected person.

[0080] In this embodiment, accurate analysis results can be obtained through intuitive response of power spectrum images and febrile convulsions.

[0081] In one embodiment, the result unit is further configured to:

[0082] The preprocessed EEG signal and the preprocessed motion signal are converted to obtain a preliminary power spectrum map; according to the preprocessed body temperature signal, the preliminary power spectrum map is subjected to a pixel supplementation operation to obtain a power spectrum image.

[0083] In this embodiment, the body temperature signal and the other two signals can be organically integrated through the pixel supplementation operation, so that febrile convulsions can be analyzed from a more comprehensive dimension.

[0084] In one embodiment, the result unit is further configured to:

[0085] When the preprocessed body temperature signal indicates that the average body temperature of the detected person within a set time period is higher than a preset body temperature threshold, a power spectrum image is obtained according to the preprocessed EEG signal and the preprocessed motion signal;

[0086] The analysis results are obtained based on the power spectrum image and the corresponding resting-state EEG data of the detected person.

[0087] In some cases, image processing requires higher computing power and generates higher energy consumption. In order to save computing power and system power, you can select low power mode, use thresholds to process body temperature signals, and reduce image processing steps.

[0088] In one implementation, a low power consumption mode may be used for the client (terminal) device, and the body temperature signal may be screened according to a threshold value. During cloud processing, the power spectrum image may be modified according to the body temperature signal to obtain a more accurate analysis result.

[0089] In one embodiment, the EEG signal collection electrode includes: a dry electrode and a thermal conductive ring;

[0090] The side of the dry electrode that is in contact with the detected person has a plurality of protrusions, and the top surface of the protrusions is in contact with the head skin of the detected person when the head-mounted signal acquisition module is worn on the head of the detected person;

[0091] The heat conductive ring is nested in the outer edge of the dry electrode.

[0092] In this embodiment, a plurality of protrusions are provided on the side of the dry electrode in contact with the human body to form a comb-like structure, which helps to dissipate heat from the part of the human body in contact with the dry electrode.

[0093] In one embodiment, the protrusions are strip-shaped, and a plurality of protrusions are parallel to each other.

[0094] For patients with febrile convulsions, fever is the most important cause of febrile convulsions. Therefore, in the electrode structure design of this embodiment, a dry electrode with a physical cooling effect is designed. Figure 5AAs shown, the dry electrode uses a comb electrode 51 structure to contact the scalp for collecting scalp EEG (Electroencephalogram) signals. A heat-conducting metal 52 is wrapped outside the comb electrode 51. The heat-conducting metal 52 serves as a heat-conducting ring and can be used to achieve physical cooling.

[0095] In one embodiment, the dry electrode is a circular sheet electrode; the thermal conductive ring is a circular ring, and the outer diameter of the thermal conductive ring is greater than 2 times the diameter of the circular sheet electrode.

[0096] In this embodiment, the EEG dry electrode can be of a relatively small size, such as a diameter of 5 mm (or any size between 1-20 mm), and the diameter of the external heat-conducting ring can be more than twice that of the comb-shaped electrode, ensuring that the heat-conducting metal part has a sufficiently large contact area with the skin. The heat-conducting metal is connected to the GND (Ground) of the acquisition circuit, and also achieves good shielding for the EEG acquisition electrode to avoid other interference.

[0097] In the embodiment of the invention, the heat conducting ring is made of ceramic material.

[0098] In one embodiment, the thermal conductive ring is grounded to prevent the thermal conductive ring from generating interference signals to the EEG signal collection electrodes.

[0099] In one embodiment, the wearable headscarf is made of a flexible metallic material.

[0100] Reference Figure 5B As shown, the wearable headscarf 53 made of metal material can improve the heat dissipation of the wearable headscarf. The EEG signal acquisition electrode adopts a structure of a comb electrode 51 combined with a heat-conducting metal 52. The EEG signal reference electrode and the body temperature signal acquisition electrode can also adopt the same structure or other suitable structures. The electrodes 54 are connected by a thin-film flexible metal heat-conducting strip-shaped wearable headscarf 53, and are connected to the head-mounted device host fan through the wearable headscarf 53. When the head-mounted device host fan is started, the electrode can be cooled, thereby achieving the purpose of cooling the patient.

[0101] In one embodiment, the brain-computer interface system for febrile seizure health monitoring further includes:

[0102] Early warning device: used to generate early warning signals based on analysis results;

[0103] The heat dissipation device is thermally connected to the temperature acquisition unit and is used to perform a heat dissipation operation when it is detected that the temperature value collected by the temperature acquisition unit exceeds a set temperature threshold.

[0104] In an embodiment of the present application, the early warning device, the heat dissipation device and the signal analysis device are arranged on a host. At the same time, a display screen can also be configured on the host to display the current detection results.

[0105] In one example of the present application, the appearance of the host can refer to Figure 2 As shown, the circuit diagram of the host is as follows Figure 6 See Figure 6 The host includes a connector interface, a 10-channel EEG acquisition function circuit, a 1-channel temperature acquisition drive circuit, a flash memory module (Flash Memory), a wireless module, an indicator light, a USB / Type C (Type C) interface, a motion sensor, a battery, a power management, a fan control, an operation button, a microprocessor, a display screen, a buzzer drive circuit and a buzzer.

[0106] The connector interface is used to electrically connect the 10-channel electrode and the 1-channel temperature electrode to the circuit system. In order to ensure the quality of weak signal acquisition and shield the noise introduced by environmental electromagnetic interference at the interface, the connector interface needs to be equipped with filters and absorbing material components. The connector interface connects the EEG acquisition electrode and the temperature electrode to the 10-channel EEG acquisition function circuit and the 1-channel temperature acquisition circuit respectively.

[0107] In one example, a 10-channel EEG acquisition circuit diagram is shown in FIG. Figure 7 As shown, in other embodiments, other numbers of channels may be used to layout the EEG acquisition circuit. Figure 7 In the illustrated embodiment, the collected EEG signal is a differential voltage signal between the EEG signal collection electrode corresponding to the collection channel and the EEG signal reference electrode corresponding to the reference channel. The collected EEG signal is filtered by an RC low-pass filter circuit 71 before input. The frequency range of the low-pass filter circuit 71 can be 0.1Hz to 250Hz. The values ​​of the resistor R and the capacitor C of the low-pass filter circuit 71 are selected according to the actual design. In order to ensure the matching of the input channel and the reference channel, the resistor R and the capacitor C are high-precision components that have been selected or screened. The differential amplifier 72 first differentially amplifies the differential voltage signal. Thereafter, the amplified differential voltage signal is further amplified using a low-noise operational amplifier 73. Generally speaking, the total amplification factor is 150 to 200 times. Figure 7The multi-way selector switch in is used for multi-channel switching, each channel includes an EEG function acquisition electrode and a common reference electrode, as well as a low-pass filter circuit 71, a differential amplifier 72 and an operational amplifier 73 connected to the two. The multi-way selector switch is also connected to a 24-bit / 16-bit ADC (Analog-to-Digital Converter) to achieve analog-to-digital conversion. The resolution of the ADC is related to the configuration of the magnification factor, etc. When the magnification factor is about 200, a 16-bit ADC can be used.

[0108] In this embodiment, a 1-channel temperature acquisition circuit is as follows: Figure 8 As shown, in other embodiments, other numbers of channels may be used to arrange the temperature acquisition circuit. Figure 8 In the example shown, a negative temperature coefficient NTC (Negative Temperature Coefficient) thermistor is used to realize temperature acquisition. When collecting temperature, the MCU opens the circuit through PMOS (Positive MOS) Q1, inputs a signal from the IO (In Out) port, and uses the 12-bit ADC built into the MCU to collect the NTC voltage and calculate the temperature value. The above-mentioned acquisition-related controls are all controlled by a microcontroller. In this embodiment, PMOS refers to a MOS (Metal-Oxide-Semiconductor Field-Effect Transistor) tube with an n-type substrate and a p-channel, which transports current by the flow of holes. Under the control of the microcontroller, the collected data can be cached in Flash Memory or sent to other terminals or the cloud through a wireless module (Bluetooth / Wi-Fi). The IO port of the MCU, Q1, resistor R1, MCU ADC, and NTC are connected in sequence. The host is equipped with a display screen, indicator lights, and operation buttons to realize human-computer interaction in the microprocessing process. The USB / Type C interface is used for wired data exchange and charging between the head-mounted device host and other devices. The power management module is used to charge the battery and provide operating voltage for each module of the system. The motion sensor uses a 6-axis sensor (3-axis accelerometer + 3-axis angular velocity meter) to monitor the patient's motion status. Fan control is mainly used to achieve active cooling of fever patients. The microprocessor algorithm integrates EEG signals, body temperature, and motion sensor data to realize alarm for febrile convulsions and long-term health monitoring.

[0109] The above-mentioned embodiments of the present application are combinations of elements and features of the present application. Unless otherwise mentioned, elements or features may be considered as optional. Each element or feature may be put into practice without being combined with other elements or features. In addition, the embodiments of the present application may be constructed by combining some elements and / or features. The order of operations described in the embodiments of the present application may be rearranged. Some structures of any one embodiment may be included in another embodiment, and may be replaced by the corresponding structure of another embodiment. It is obvious to those skilled in the art that claims that do not have a clear reference relationship to each other in the attached claims may be combined with the embodiments of this application, or may be included as new claims in the amendment after submitting this application.

[0110] In a firmware or software configuration, the embodiments of the present application may be implemented in the form of modules, processes, functions, etc. The software code may be stored in a memory unit and executed by a processor. The memory unit is located inside or outside the processor and may send data to and receive data from the processor via various known means.

[0111] Various aspects of the system described herein may be implemented as functions programmed into any of a variety of circuits, including programmable logic devices (PLDs), such as field programmable gate arrays (FPGAs), programmable array logic (PAL) devices, electronic programmable logic and storage devices, standard cell-based devices, and application-specific integrated circuits (ASICs). Some other possibilities for implementing these aspects of the system include: microcontrollers with memory, such as electronically erasable programmable read-only memory (EEPROM), embedded microprocessors, firmware, software, etc. In addition, these aspects of the system may be embodied in microprocessors with software-based circuit simulation, discrete logic (sequential and combinational), custom devices, fuzzy (neural) logic, quantum devices, and combinations of any of the above various device types. Of course, the underlying device technology may be provided in a variety of component types, such as metal oxide semiconductor field effect transistor (MOSFET) technology such as complementary metal oxide semiconductor (CMOS), bipolar technology such as emitter coupled logic (ECL), polymer technology (e.g., silicon conjugated polymer and metal conjugated polymer metal structure), hybrid analog and digital, etc.

[0112] The various functions or processes disclosed herein may be described as data and / or instructions embodied in various computer-readable media in terms of their behavior, register transfers, logic components, transistors, geometric layouts, and / or other characteristics. Computer-readable media that may contain such formatted data and / or instructions include, but are not limited to, various forms of non-volatile storage media (e.g., optical, magnetic, or semiconductor storage media) and carrier waves, which may be used to transmit such formatted data and / or instructions via wireless, optical, or wired signal media, or any combination thereof. When received in any of a variety of circuits (e.g., computers), such data and / or instructions may be processed by a processing entity (e.g., one or more processors).

[0113] The above description of the illustrated embodiments of the systems and methods is not intended to be exhaustive or to limit the systems and methods to the precise forms disclosed. Although specific embodiments and examples of the system components and methods are described herein for illustrative purposes, it will be appreciated by those skilled in the art that various equivalent modifications may be made within the scope of the systems, components, and methods. The teachings of the systems and methods provided herein may be applied to other processing systems and methods, not just to the above-described systems and methods.

[0114] Those skilled in the art will appreciate that, without departing from the spirit or scope of the broad description of the present application, various changes and / or modifications may be made to the present application shown in the specific embodiments. Therefore, the present embodiment will be considered in all respects to be illustrative and not restrictive. In addition, the present application includes any combination of features described for different embodiments (including features in the abstract section), even if the feature or combination of features is not clearly defined in the claims or the detailed description of the present embodiment.

[0115] In general, in the following claims, the terms used should not be construed to limit the systems and methods to the specific embodiments disclosed in the specification and the claims, but should be construed to include all processing systems that operate under the claims. Therefore, the systems and methods are not limited by the present disclosure, but rather the scope of the systems and methods is determined entirely by the claims.

[0116] Unless the context clearly requires otherwise, throughout the specification and claims, the words "include", "including", "comprising", etc. should be interpreted in an inclusive sense and not in an exclusive or exhaustive sense; that is, in the sense of "including but not limited to". Words using the singular or plural number also include the singular or plural number, respectively. In addition, "herein", "herein below", "above", "hereafter" and words of similar meaning refer to this application as a whole and not to any particular part of this application. When the word "or" is used in a list involving two or more items, the word "or" includes all of the following interpretations of the word: any item in the list, all items in the list, and any combination of items in the list.

[0117] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, the meaning of "plurality" is more than two, unless otherwise clearly and specifically defined.

[0118] The above are only preferred embodiments of the present application and are not intended to limit the present application. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present application should be included in the protection scope of the present application.

Claims

1. A brain-computer interface system for febrile convulsion health monitoring, comprising: Head-mounted signal acquisition module, motion signal acquisition module and signal analysis device; The head-mounted signal acquisition module includes: an EEG acquisition unit for acquiring EEG signals of the detected person when the head-mounted signal acquisition module is worn on the head of the detected person, and a temperature acquisition unit for acquiring body temperature signals of the detected person; The motion signal acquisition module is used to acquire the motion signal of the detected person; The signal analysis device is used to analyze the febrile convulsion state of the detected person based on the combined analysis result of the EEG signal and the motion signal, the resting EEG data corresponding to the detected person, and the body temperature signal to obtain the analysis result.

2. The brain-computer interface system for febrile seizure health monitoring according to claim 1, wherein: The EEG acquisition unit includes a plurality of EEG signal acquisition electrodes and an EEG signal reference electrode; The temperature acquisition unit includes a body temperature signal acquisition sensor; the EEG signal acquisition electrode, the EEG signal reference electrode and the body temperature signal acquisition sensor are arranged on a belt-shaped wearable headscarf; When worn on the head of a person being tested, the multiple EEG signal collection electrodes are located at different positions on the head of the person being tested.

3. The brain-computer interface system for febrile seizure health monitoring according to claim 2, wherein: The EEG signal acquisition electrode, the EEG signal reference electrode and the body temperature signal acquisition sensor are arranged at the first set position of the wearable headscarf, so that when worn, the EEG signal acquisition electrodes respectively cover the second set position of the brain of the detected person, and the EEG signal reference electrode and the body temperature signal acquisition sensor are located at the forehead of the detected person.

4. The brain-computer interface system for febrile seizure health monitoring according to claim 3, wherein: The second set position includes the sequence of O2, T6, T4, F8, Fp2, Fp1, F7, T3, T5, and O1 in the electrode placement sequence set based on the 10-20 system.

5. The brain-computer interface system for febrile seizure health monitoring according to claim 2, wherein: The signal analysis device comprises: an EEG signal acquisition circuit, a body temperature signal acquisition circuit, a data preprocessing unit, and a result unit; The EEG signal acquisition circuit is used to acquire the EEG biological signal of the detected person through the EEG signal acquisition electrode; and convert the EEG biological signal into an EEG signal recognizable by the data preprocessing unit; The body temperature signal acquisition circuit is used to obtain the body temperature biological signal of the detected person through the body temperature signal acquisition sensor; and convert the body temperature biological signal into a body temperature signal that can be recognized by the data preprocessing unit; The data preprocessing unit is used to preprocess the EEG signal, body temperature signal and motion signal; the result unit is used to obtain the analysis result based on the preprocessed EEG signal, the preprocessed body temperature signal and the preprocessed motion signal.

6. The brain-computer interface system for febrile seizure health monitoring according to claim 5, wherein: The EEG signal acquisition circuit comprises: a channel circuit corresponding to each EEG signal acquisition electrode; Each of the channel circuits comprises: a capacitor-resistor filter unit, a differential amplifier, and an operational amplifier; The input end of the capacitor-resistance filter unit is connected to the corresponding EEG signal acquisition electrode and the EEG signal reference electrode; The input end of the differential amplifier is connected to the capacitor-resistance filter unit, and is used to differentially amplify the differential signal between the corresponding EEG signal acquisition electrode and the EEG signal reference electrode to obtain a differentially amplified differential signal; The operational amplifier input end is connected to the output end of the differential amplifier for amplifying the differential signal of the differential amplifier to obtain the electroencephalographic biological signal.

7. The brain-computer interface system for febrile seizure health monitoring according to claim 5, wherein: The data preprocessing unit includes: a signal alignment subunit and a signal segmentation subunit; The signal alignment subunit is used to align the sampling parameters of the EEG signal, the body temperature signal and the motion signal in sequence, and obtain an aligned EEG signal, an aligned body temperature signal and an aligned motion signal accordingly; The signal segmentation subunit is used to segment the aligned EEG signals, aligned body temperature signals and aligned motion signals in sequence according to preset time slices to obtain preprocessed EEG signals, preprocessed body temperature signals and preprocessed motion signals.

8. The brain-computer interface system for febrile seizure health monitoring according to claim 7, wherein: The signal alignment subunit is further used for: Aligning the acquisition times of the EEG signal, the body temperature signal, and the motion signal to obtain a time-aligned EEG signal, a time-aligned body temperature signal, and a time-aligned motion signal; Aligning the sampling frequencies of the time-aligned EEG signals, the time-aligned body temperature signals, and the time-aligned motion signals in sequence to obtain frequency-aligned EEG signals, frequency-aligned body temperature signals, and frequency-aligned motion signals; According to the frequency-aligned EEG signals, the frequency-aligned body temperature signals and the frequency-aligned motion signals, the aligned EEG signals, the aligned body temperature signals and the aligned motion signals are obtained accordingly.

9. The brain-computer interface system for febrile seizure health monitoring according to claim 5, wherein: The result unit is also used to: obtain a power spectrum image based on the preprocessed EEG signal, the preprocessed body temperature signal and the preprocessed motion signal; and obtain an analysis result based on the power spectrum image and the resting EEG data corresponding to the detected person.

10. The brain-computer interface system for febrile seizure health monitoring according to claim 9, wherein: The result unit is also used to: convert the preprocessed EEG signal and the preprocessed motion signal to obtain a preliminary power spectrum map; and perform a pixel supplement operation on the preliminary power spectrum map according to the preprocessed body temperature signal to obtain the power spectrum image.

11. The brain-computer interface system for febrile seizure health monitoring according to claim 5, wherein: The result unit is further used to: obtain a power spectrum image according to the preprocessed EEG signal and the preprocessed motion signal when the preprocessed body temperature signal indicates that the average body temperature of the detected person within a set time period is higher than a preset body temperature threshold; An analysis result is obtained based on the power spectrum image and the resting-state EEG data corresponding to the detected person.

12. The brain-computer interface system for febrile seizure health monitoring according to claim 2, wherein: The EEG signal collection electrode comprises: a dry electrode and a heat conductive ring; The side of the dry electrode used for contacting the detected person has a plurality of protrusions, and the top surface of the protrusions contacts the head skin of the detected person when the head-mounted signal acquisition module is worn on the head of the detected person; The heat-conducting ring is nested in the outer edge of the dry electrode.

13. The brain-computer interface system for febrile seizure health monitoring according to claim 10, wherein: The protrusions are strip-shaped, and a plurality of the protrusions are parallel to each other.

14. The brain-computer interface system for febrile seizure health monitoring according to claim 12, wherein: The dry electrode is a circular sheet electrode; the heat-conducting ring is a circular ring, and the outer diameter of the heat-conducting ring is greater than 2 times the diameter of the electrode.

15. The brain-computer interface system for febrile seizure health monitoring according to claim 12, wherein: The heat conductive ring is grounded.

16. The brain-computer interface system for febrile seizure health monitoring according to claim 2, wherein: The wearable headscarf is made of flexible metal material.

17. The brain-computer interface system for febrile seizure health monitoring according to claim 1, further comprising: Early warning device, heat dissipation device; Wherein, the early warning device is used to generate an early warning signal according to the analysis result; The heat dissipation device is thermally connected to the temperature acquisition unit and is used to perform a heat dissipation operation when it is detected that the temperature value collected by the temperature acquisition unit exceeds a set temperature threshold.

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