Automatic detection system and apparatus for capturing seizure symptom information of epilepsy patient

Abstract

The present application relates to the field of biomedical detection, and provides an automatic detection system and apparatus for capturing seizure symptom information of an epilepsy patient. When an epilepsy patient experiences aura seizure, a voice playing module is triggered by means of a data processing module or an electroencephalogram marker to play a voice instruction; on the basis of the voice instruction, the patient is guided to describe subjective feelings when the epilepsy patient experiences aura seizure, the patient is instructed to complete examination of a consciousness level and a motion ability within an epileptic seizure period, the audio of the subjective feelings of the patient is automatically and synchronously recorded into electroencephalogram monitoring data by means of a voice module, and the videos of the examination results of the consciousness level and the motion ability of the patient within the epileptic seizure period are automatically and synchronously recorded into the electroencephalogram monitoring data by means of a camera. The present application can automatically and synchronously record the subjective feelings of the patient into the electroencephalogram monitoring data when the epilepsy patient experiences aura seizure, and automatically and synchronously records the examination results of the consciousness level and the motion ability of the epilepsy patient within the epileptic seizure period.

Description

An automatic detection system and device for capturing epileptic seizure symptom information

[0001] This application claims priority to a Chinese patent application filed with the Patent Office of China on September 25, 2023, with application number 202311241047.2 and invention name “An automatic detection system for capturing symptom information of epileptic seizures”, the entire contents of which are incorporated by reference into this application. Technical Field

[0002] The present application belongs to the field of biomedical detection technology, and specifically relates to an automatic detection system and device for capturing symptom information of epileptic patients. Background Art

[0003] A premonitory seizure in an epileptic patient refers to the patient's own subjective abnormal feelings at the very beginning of an epileptic seizure, such as visual premonitory (flashes in front of the eyes), auditory premonitory (hearing sounds or words), sensory premonitory (abdominal discomfort, smelling a strange odor, feeling hot and cold, dizziness), etc. Capturing these symptoms promptly and accurately and recording them synchronously with the electroencephalogram (EEG) is crucial for locating the initial brain area of ​​the patient's epileptic seizure and classifying the epileptic seizure. However, for patients whose EEGs are currently monitored, in order to accurately record premonitory seizures, the method used is: while monitoring the EEG, the patient is instructed to actively press the marker when a premonitory seizure occurs (a marker symbol corresponding to the time point will appear on the synchronously recorded EEG). However, this method cannot achieve the synchronous recording of the patient's subjective feelings into the EEG monitoring data, resulting in: 1) the patient cannot accurately recall the premonitory symptom information afterwards; 2) the premonitory information that the doctor later inquires about is physically separated from the EEG data. When the data is reread and analyzed in the future, only the EEG data can be seen, and the premonitory information is lost.

[0004] Examining a patient's level of consciousness and motor ability during an epileptic seizure is crucial, as it can help determine the brain region and side affected by epileptic discharges. However, currently, when performing EEG monitoring on epilepsy patients to capture information about seizure symptoms, medical staff often cannot reach the patient's bedside in time to perform a neurological examination (i.e., a test of the patient's level of consciousness and motor ability) during the seizure phase. Consequently, assessments of these levels of consciousness and motor ability are missed, reducing the clinical significance of EEG monitoring.

[0005] To address the above issues, the only way currently available is to regularly train medical staff, instructing them to rush to the bedside in a timely manner when a patient has an epileptic seizure to perform commanded movements and physical examinations (i.e., to check the patient's level of consciousness and motor skills), and to inquire about the patient's premonitory symptoms after the seizure, and to record these in the medical records (manually recorded in the medical records by medical staff rather than directly recorded in the EEG data). Based on this, how to automatically record the patient's subjective feelings in the EEG monitoring data when an epileptic patient has a premonitory seizure, and automatically and synchronously record the examination results of the epileptic patient's level of consciousness and motor skills during the seizure, has become an urgent problem to be solved by those skilled in the art.

[0006] Summary of the Invention

[0007] In response to the above technical problems, the present application provides an automatic detection system and device for capturing the symptom information of epileptic seizures. When an epileptic patient has a premonitory seizure, the system can automatically and synchronously record the patient's subjective feelings into the electroencephalogram monitoring data, and automatically and synchronously record the examination results of the epileptic patient's consciousness level and motor ability during the epileptic seizure period.

[0008] To achieve the above objectives, this application provides the following solutions:

[0009] An automatic detection system for capturing epileptic seizure symptom information, the automatic detection system comprising a data processing module and a voice module; the voice module stores voice instructions;

[0010] The data processing module is connected to the voice module; the data processing module is used to obtain EEG signals from the video EEG device in real time, process the EEG signals to obtain power, and send a trigger signal to the voice module when the power exceeds a set threshold; the power exceeding the set threshold indicates that the epileptic patient has begun to have a premonitory seizure; the trigger signal is used to trigger the voice command playback in the voice module;

[0011] The video EEG device includes an EEG marker; when an epileptic patient experiences a premonitory seizure, the patient actively presses the EEG marker, and a switch mechanical signal of the EEG marker is sent to the voice module; the switch mechanical signal is used to trigger the playback of voice commands in the voice module;

[0012] The voice module is connected to the video EEG device; the voice module is used to immediately trigger the playback of voice instructions in the voice module after receiving the trigger signal sent by the data processing module or the switch mechanical signal sent by the EEG marker; the voice instructions in the voice module are used to guide the epileptic patient to describe his subjective feelings when the epileptic patient has a premonitory seizure, and instruct the epileptic patient to complete the examination of the level of consciousness and motor ability during the epileptic seizure period; the voice module is also used to automatically record the audio of the epileptic patient's subjective feelings into the EEG monitoring data when the epileptic patient describes his subjective feelings; the video EEG device also includes a camera; the camera is used to instruct the epileptic patient to complete the examination of the level of consciousness and motor ability during the epileptic seizure period while the voice instructions in the voice module instruct the epileptic patient to complete the examination of the level of consciousness and motor ability during the epileptic seizure period, and automatically record the video of the examination results of the epileptic patient's level of consciousness and motor ability during the epileptic seizure period into the EEG monitoring data.

[0013] Optionally, the data processing module processes the electroencephalogram signal by fast Fourier transform and power spectrum analysis of the gamma frequency band.

[0014] Optionally, after the voice instruction in the voice module is triggered to play, the voice instruction in the voice module is played in a loop.

[0015] Optionally, the automatic detection system further includes a stop button; the stop button is connected to the voice module; when the stop button is pressed, a stop playback signal is sent to the voice module; the stop playback signal is used to control the voice module to stop playing voice instructions.

[0016] Optionally, the automatic detection system is embedded in the video EEG device.

[0017] Optionally, the voice instruction is pre-recorded audio.

[0018] Optionally, the pre-recorded audio includes: please tell me how you feel at the moment, please remember the color red, please tell me about the sun, please close your eyes, please open your eyes, please raise your right upper limb, please put down your right upper limb, and please raise both upper limbs and raise them above your head.

[0019] An automatic detection device for capturing epileptic seizure symptom information, comprising: a video electroencephalogram (EEG) device and the aforementioned automatic detection system for capturing epileptic seizure symptom information; the automatic detection system is embedded in the video electroencephalogram (EEG) device; the video electroencephalogram (EEG) device comprises: an EEG marker and a camera; when an epileptic patient experiences a premonitory seizure, they actively press the EEG marker, which generates a mechanical switch signal and sends the switch signal to a voice module in the automatic detection system; the voice module is configured to receive a trigger signal from a data processing module in the automatic detection system or a signal from the EEG marker. After the mechanical signal is switched on and off, the voice command playback is immediately triggered; the voice command in the voice module is used to guide the epileptic patient to describe his or her subjective feelings when the epileptic patient has a premonitory seizure, and automatically synchronizes the audio of the epileptic patient's subjective feelings with the electroencephalogram monitoring data; the voice module is also used to guide the epileptic patient to make movements that reflect the level of consciousness and motor ability during an epileptic seizure; the camera is used to guide the epileptic patient to make movements that reflect the level of consciousness and motor ability in response to the voice command in the voice module, while filming the epileptic patient's movements, and automatically synchronizes the filmed video with the electroencephalogram monitoring data.

[0020] The beneficial effects of this application are:

[0021] The automatic detection system and device for capturing symptom information of epileptic seizures disclosed in the present application trigger a voice module to play voice instructions when an epileptic patient has a premonitory seizure through a data processing module or an electroencephalogram (EEG) marker. The voice instructions guide the epileptic patient to describe his or her subjective feelings when the premonitory seizure occurs, and instruct the epileptic patient to complete an examination of the level of consciousness and motor ability during the epileptic seizure. The voice module automatically records the audio of the epileptic patient's subjective feelings synchronously into the EEG monitoring data when the epileptic patient describes his or her subjective feelings. The camera of the video EEG device captures the examination results of the epileptic patient's level of consciousness and motor ability during the epileptic seizure while the voice instructions instruct the epileptic patient to complete an examination of the level of consciousness and motor ability during the epileptic seizure. The video of the examination results of the epileptic patient's level of consciousness and motor ability during the epileptic seizure is automatically and synchronously recorded into the EEG monitoring data, thereby automatically and synchronously recording the patient's subjective feelings into the EEG monitoring data when the epileptic patient has a premonitory seizure, and automatically and synchronously recording the examination results of the epileptic patient's level of consciousness and motor ability during the epileptic seizure.

[0022] Figures in the specification

[0023] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments. 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 any creative labor.

[0024] FIG1 is a schematic diagram of the structure of an automatic detection system for capturing seizure symptom information of an epileptic patient according to an embodiment of the present application;

[0025] FIG2 is a basic structural connection diagram of an automatic detection system for capturing epileptic seizure symptom information according to an embodiment of the present application;

[0026] FIG3 is a working diagram of an automatic detection system for capturing seizure symptom information of an epileptic patient according to an embodiment of the present application. DETAILED DESCRIPTION

[0027] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0028] The purpose of this application is to provide an automatic detection system that captures the symptom information of epileptic seizures, which can automatically and synchronously record the patient's subjective feelings into the electroencephalogram monitoring data when the epileptic patient has a premonitory seizure, and automatically and synchronously record the examination results of the epileptic patient's level of consciousness and motor ability during the epileptic seizure period.

[0029] In order to make the objectives, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0030] FIG1 is a schematic diagram of the structure of an automatic detection system for capturing epileptic seizure symptom information according to an embodiment of the present application. As shown in FIG1 , the automatic detection system for capturing epileptic seizure symptom information according to an embodiment of the present application includes a data processing module and a voice module. The voice module stores voice commands.

[0031] The data processing module is connected to the voice module; the data processing module is used to obtain the EEG signal from the video EEG device in real time, process the EEG signal to obtain power, and send a trigger signal to the voice module when the power exceeds a set threshold; when the power exceeds the set threshold, it indicates that the epileptic patient has begun to have a premonitory seizure; the trigger signal is used to trigger the playback of voice commands in the voice module; the data processing module processes the EEG signal including fast Fourier transform and power spectrum analysis of the gamma frequency band.

[0032] The video EEG device includes an EEG marker; when an epileptic patient has a premonitory seizure, he or she actively presses the EEG marker, and the switch mechanical signal of the EEG marker is sent to the voice module; the switch mechanical signal is used to trigger the playback of voice commands in the voice module.

[0033] The voice module is connected to the video EEG device; the voice module is used to immediately trigger the playback of voice instructions in the voice module after receiving a trigger signal sent by the data processing module or a switch mechanical signal sent by the EEG marker; the voice instructions in the voice module are used to guide the epileptic patient to describe his subjective feelings when the epileptic patient has a premonitory seizure, and to instruct the epileptic patient to complete an examination of the level of consciousness and motor ability during the epileptic seizure; the voice module is also used to automatically record the audio of the epileptic patient's subjective feelings into the EEG monitoring data when the epileptic patient describes his subjective feelings; the video EEG device also includes a camera; the camera is used to instruct the epileptic patient to complete the examination of the level of consciousness and motor ability during the epileptic seizure while the voice instructions in the voice module instruct the epileptic patient to complete the examination of the level of consciousness and motor ability during the epileptic seizure, and automatically record the video of the examination results of the epileptic patient's level of consciousness and motor ability during the epileptic seizure into the EEG monitoring data.

[0034] Specifically, the automatic detection system for capturing epileptic seizure symptom information also includes a stop button connected to a voice module. When the stop button is pressed, a stop signal is sent to the voice module. The stop signal is used to control the voice module to stop playing the voice command. After the voice command in the voice module is triggered to play, the voice command in the voice module is played in a loop. When the voice module receives the stop signal, it stops playing the voice command.

[0035] Among them, the voice commands are pre-recorded audios, which include: please tell me how you feel at the moment, please remember the color red, please tell me about the sun, please close your eyes, please open your eyes, please raise your right upper limb, please lower your right upper limb, and please raise both upper limbs and raise them above your head.

[0036] The technical solution of this application is described below with a specific embodiment:

[0037] Figure 2 is a basic structural connection diagram of an automatic detection system for capturing epileptic seizure symptom information in accordance with an embodiment of the present application, and Figure 3 is a working diagram of an automatic detection system for capturing epileptic seizure symptom information in accordance with an embodiment of the present application. As shown in Figures 2 and 3, an automatic detection system (automatic monitoring system) for capturing epileptic seizure symptom information provided in an embodiment of the present application includes a pre-recorded speech module and a data processing module.

[0038] (1) The switch mechanical signal of the EEG marker (i.e., the marker, which is a standard feature of existing video EEG equipment) is associated with the voice module. After the epileptic patient marks with his hand, the switch mechanical signal is transmitted to the pre-recorded voice module, which can trigger the voice instructions in the pre-recorded voice module and play them in a loop until the end button (stop button) is pressed manually. The purpose of the epileptic patient pressing the marker is to trigger the voice content that has been recorded in the voice module. Pressing the end button requires external medical staff to operate, rather than guiding the epileptic patient to press the end button.

[0039] Specifically, after the voice playback is triggered, the voice instructions guide the epileptic patient:

[0040] 1. Please tell us how you feel at this moment.

[0041] 2. Please remember the color red;

[0042] 3. Please say "sun" to me;

[0043] 4. Please close your eyes, please open your eyes;

[0044] 5. Please raise your right upper limb, then put it down;

[0045] 6. Please raise both upper limbs and raise them above your head;

[0046] Can be replayed once;

[0047] The existing video EEG equipment is equipped with a camera. While the voice module guides the epileptic patient to perform the above series of actions, the camera equipped with the video EEG equipment will record the epileptic patient's movements to provide data support for medical staff.

[0048] (2) The data processing module (computer data processing module) continuously collects EEG signals from the existing video EEG device (video EEG instrument) in real time. The data processing module uses Fast Fourier Transform (FFT) to perform power spectrum analysis of the gamma frequency band. When the power exceeds the set threshold, it can trigger the voice command in the pre-recorded voice module and play it in a loop until the end button is pressed manually. EEG signals can be routinely collected by existing video EEG equipment, and existing equipment (with a camera, EEG amplifier, built-in frequency spectrum analysis function for each frequency band, etc.) can be used. Fourier transform power spectrum analysis is a function built into the video EEG device. The purpose of the data processing module collecting EEG signals and analyzing them is only to trigger the voice command of the voice module.

[0049] While the voice module guides the epileptic patient to perform the above series of actions, the camera equipped with the video EEG device will record the epileptic patient's movements to provide data support for medical staff.

[0050] The function of the voice module is to pre-record individualized attack instructions in a certain dialect.

[0051] The data processing module performs real-time fast Fourier transform (FFT) on the EEG signals collected by the EEG device (EEG machine), performs power spectrum analysis in the gamma frequency band, and sends a signal to the speech module based on a set threshold to trigger the signal. As shown in Figure 3, EEG electrodes are attached to the scalp of an epileptic patient, and the EEG machine collects EEG signals through these electrodes. The EEG machine is a component of the video EEG system.

[0052] The voice prompt function of the voice module can be triggered by any of the following two pathways (doctors can choose which pathway to use as needed before starting this function):

[0053] 1. Triggered by marking with the hand of an epileptic patient:

[0054] When an epileptic patient presses the EEG marker to mark the patient, it automatically triggers voice playback. This is a pathway.

[0055] 2. Triggered by the data processing module:

[0056] The built-in functional spectrum analysis of the video EEG device indicates a sudden increase in energy (indicating that a seizure is about to begin). Once it exceeds the set threshold (set individually by the doctor for epilepsy patients), it automatically and immediately triggers voice playback. This is the second pathway.

[0057] An embodiment of the present application further provides an automatic detection device for capturing symptom information of epileptic seizures, comprising: a video electroencephalogram device and the above-mentioned automatic detection system for capturing symptom information of epileptic seizures.

[0058] The automatic detection system is embedded in a video EEG device. The device includes an EEG marker and a camera. When an epileptic patient experiences a premonitory seizure, they actively press the EEG marker, which generates a mechanical on / off signal and transmits it to the voice module in the automatic detection system.

[0059] The voice module is used to immediately trigger the playback of voice commands after receiving the trigger signal sent by the data processing module in the automatic detection system or the switch mechanical signal sent by the EEG marker; the voice commands in the voice module are used to guide epileptic patients to describe their subjective feelings when they have a premonitory seizure, and automatically record the audio of the epileptic patients' subjective feelings synchronously with the EEG monitoring data.

[0060] The voice module is also used to guide epileptic patients to perform movements that reflect their level of consciousness and motor ability during an epileptic seizure; the camera is used to guide epileptic patients to perform movements that reflect their level of consciousness and motor ability while following the voice instructions in the voice module, and to film the movements of the epileptic patients, and to automatically record the filmed video synchronously with the EEG monitoring data.

[0061] Compared with the prior art, the advantages of this application are:

[0062] 1. When an epileptic patient tags, voice prompts are automatically triggered (pre-recorded in their dialect). These prompts guide the patient in describing their subjective symptoms and instruct them to complete questions and actions (pre-recorded in their dialect). These prompts include instructions for remembering colors, pointing to the ceiling, repeating a sentence, and lifting a specific limb.

[0063] 2. Audio and video are recorded synchronously with the EEG monitoring data.

[0064] Compared with the prior art, this application has the following beneficial effects:

[0065] 1. The automatic detection system for capturing the symptomological information of epileptic seizures in this application can automatically prompt with voice instructions when the epileptic patient has a premonitory seizure, replacing manual guidance of the epileptic patient to complete the examination, thereby capturing the early information of the seizure (the symptom information in the early stage of the seizure is crucial for locating the origin of the epileptic seizure). In addition, the automatic detection system for capturing the symptomological information of epileptic seizures in this application can synchronize the premonitory information recorded separately in the medical record with the EEG monitoring data, so that it can directly correspond to the evolution of the EEG signal and the symptomological characteristics of the seizure, and can leave traces for a long time without losing information and affecting retrospective analysis.

[0066] 2. The automatic detection system for capturing symptom information of epileptic seizures in this application is embedded in the video EEG device, which can increase the captured epileptic seizure information (i.e., the subjective feelings of epileptic patients when aura occurs and the examination results of the consciousness level and motor ability of epileptic patients during the epileptic seizure period), which is helpful for the clinical diagnosis and treatment of epileptic patients.

[0067] 3. The automatic detection system of this application for capturing the symptom information of epileptic seizures can automatically record the time point of the premonitory seizure while recording the electroencephalogram (EEG), and conduct questions and answers with the epileptic patient through an automatic voice control system. It prompts the epileptic patient to speak out his or her abnormal feelings immediately after the seizure occurs, and records them synchronously in the EEG data system in the form of audio, which can leave a long-term trace.

[0068] 4. The automatic detection system of this application for capturing the symptom information of epileptic seizures can automatically start giving physical examination instructions to epileptic patients as soon as the premonitory seizure occurs and complete the assessment of their level of consciousness and motor ability, and record them synchronously in the form of video and audio in the electroencephalogram data system, which can leave a long-term trace.

[0069] The embodiments of the present application are described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of the present application, ordinary technicians in this field can also make many forms without departing from the purpose of the present application and the scope of protection of the claims, all of which are protected by the present application.

Claims

1. An automatic detection system for capturing epileptic seizure symptom information, characterized in that: The automatic detection system includes a data processing module and a voice module; the voice module stores voice instructions; The data processing module is connected to the voice module; the data processing module is used to obtain the EEG signal in the video EEG device in real time, process the EEG signal to obtain power, and send a trigger signal to the voice module when the power exceeds a set threshold; the power exceeding the set threshold prompts the epileptic patient to begin to have aura seizures; the trigger signal is used to trigger the voice command playback in the voice module; The video EEG device includes an EEG marker; when an epileptic patient has a premonitory attack, he actively presses the EEG marker, and a switch mechanical signal of the EEG marker is sent to the voice module; the switch mechanical signal is used to trigger the voice command playback in the voice module; The voice module is connected to the video EEG device; the voice module is used to immediately trigger the voice instruction playback in the voice module after receiving the trigger signal sent by the data processing module or the switch mechanical signal sent by the EEG marker; the voice instructions in the voice module are used to guide the epileptic patient to describe his subjective feelings when the epileptic patient has a premonitory seizure, and instruct the epileptic patient to complete the examination of the level of consciousness and motor ability during the epileptic seizure period; the voice module is also used to automatically record the audio of the epileptic patient's subjective feelings into the EEG monitoring data when the epileptic patient describes his subjective feelings; the video EEG device also includes a camera; the camera is used to instruct the epileptic patient to complete the examination of the level of consciousness and motor ability during the epileptic seizure period in the voice instructions in the voice module, and to shoot the examination results of the epileptic patient's level of consciousness and motor ability during the epileptic seizure period, and automatically and synchronously record the video of the examination results of the epileptic patient's level of consciousness and motor ability during the epileptic seizure period into the EEG monitoring data.

2. The automatic detection system for capturing epileptic seizure symptom information according to claim 1, characterized in that: The data processing module processes the electroencephalogram signal by fast Fourier transform and power spectrum analysis of the gamma frequency band.

3. The automatic detection system for capturing epileptic seizure symptom information according to claim 1, characterized in that: After the voice instruction in the voice module is triggered to play, the voice instruction in the voice module is played in a loop.

4. The automatic detection system for capturing epileptic seizure symptom information according to claim 1, characterized in that: The automatic detection system also includes a stop button; The stop button is connected to the voice module; when the stop button is pressed, a stop playing signal is sent to the voice module; the stop playing signal is used to control the voice module to stop playing the voice instruction.

5. The automatic detection system for capturing epileptic seizure symptom information according to claim 1, characterized in that: The automatic detection system is embedded in the video EEG device.

6. The automatic detection system for capturing epileptic seizure symptom information according to claim 1, characterized in that: The voice command is audio recorded in advance.

7. The automatic detection system for capturing epileptic seizure symptom information according to claim 6, characterized in that: The pre-recorded audio includes: please tell me how you feel at the moment, please remember the color red, please tell me the sun, please close your eyes, please open your eyes, please raise your right upper limb, please put down your right upper limb, and please raise both upper limbs and raise them above your head.

8. An automatic detection device for capturing epileptic seizure symptom information, characterized in that: include: Video electroencephalogram device and automatic detection system for capturing seizure symptom information of epileptic patients as described in any one of claims 1 to 7; The automatic detection system is embedded in the video EEG device; Video EEG equipment includes: EEG marker and camera; When the epileptic patient has a premonitory attack, he actively presses the EEG marker, and the EEG marker generates a switch mechanical signal, and sends the switch mechanical signal to the voice module in the automatic detection system; The voice module is used to immediately trigger the voice command playback after receiving the trigger signal sent by the data processing module in the automatic detection system or the switch mechanical signal sent by the electroencephalogram marker; the voice command in the voice module is used to guide the epileptic patient to describe his subjective feelings when the epileptic patient has aura seizure, and automatically record the audio of the epileptic patient's subjective feelings synchronously into the electroencephalogram monitoring data; The voice module is also used to guide the epileptic patient to perform actions that reflect the level of consciousness and motor ability during an epileptic seizure; the camera is used to guide the epileptic patient to perform actions that reflect the level of consciousness and motor ability through the voice instructions in the voice module. While the patient makes movements that reflect the level of consciousness and motor ability, the movements of the epileptic patient are filmed, and the filmed video is automatically and synchronously recorded in the EEG monitoring data.

Images