CN111557809A

CN111557809A - Telescopic protection warning bed shelves

Info

Publication number: CN111557809A
Application number: CN202010519082.6A
Authority: CN
Inventors: 霍光研; 战艳
Original assignee: Xuanwu Hospital
Current assignee: Xuanwu Hospital
Priority date: 2020-06-09
Filing date: 2020-06-09
Publication date: 2020-08-21
Anticipated expiration: 2040-06-09
Also published as: CN114099173B; CN114099174A; CN111557809B; CN114099173A; CN114099174B

Abstract

The invention relates to a telescopic protective alarm bed stop, which at least comprises a bed body: the epilepsia analysis module is used for receiving and analyzing relevant data signals collected by an epilepsia data collector and related to a target object in a target area, and is characterized in that the epilepsia analysis module controls the operation of a protective part on a bed body based on the coupling relation between response data of the epilepsia analysis module and at least one epilepsia data collector with different awakening conditions and awakening levels so as to realize effective protection of a patient on the bed body during epileptic seizure, wherein the epilepsia data collector at least comprises an electroencephalogram detection device, an infrared probe and a camera. The invention provides a convenient protection function, and simultaneously can selectively detect the disease process of the epileptics, thereby avoiding generating a large amount of invalid data signals and improving the overall safety and the detection efficiency of the epileptics detection process.

Description

Telescopic protection warning bed shelves

Technical Field

The invention relates to the technical field of medical treatment, in particular to a telescopic protective alarm bed rail.

Background

The infantile epilepsy is paroxysmal and transient convulsion caused by brain dysfunction, is a common infantile nervous system syndrome, has complex etiology and is easy to relapse. The accurate diagnosis of epilepsy is the foundation of follow-up diagnosis and treatment, so timely diagnosis and timely treatment of epilepsy can help epileptics control the state of illness as early as possible, and especially infantile epilepsy needs timely treatment so as to avoid harm to the brain of children.

In order to diagnose the patient condition more accurately, the comprehensive judgment needs to be performed on the disease process of the patient by combining video monitoring acquisition, electroencephalogram data inspection acquisition and the like, particularly on the pediatric epilepsy, the behaviors with the characteristics of 'attack' are provided, parents often cannot correctly describe or even exaggerate the attack condition, and the clinical judgment and identification are difficult. In the process, the electroencephalogram is required to be monitored for a long time, unnecessary external intervention is required to be avoided, so that the external appearance of limbs and abnormal brain waves during epileptic seizure are detected, specific behaviors and detection parameters of a patient in a disease state are reflected to the greatest extent, and the later targeted treatment process is facilitated.

The sickbed for the epileptic patient provided in the prior art is only limited to the implementation of applying restriction to the patient in the disease attack process so as to prevent the patient from colliding or falling into the bed due to behaviors such as strong twitching and the like. However, due to the external interference applied to the disease occurrence process of the patient, the results of the video monitoring and the electroencephalogram measurement performed by the device are inaccurate, and the real state and the related data parameters of the patient in the disease occurrence process cannot be truly reflected, so that certain obstacles are generated for the subsequent targeted therapy. When carrying out video brain electricity monitoring, the doctor wants to see the concrete expression form that epileptic infant bout: for example, the initial action, the intermediate continuous action and the ending action during the seizure, and the mental and reaction of the infant, the change of the electroencephalogram waveform can be compared to accurately determine whether the infant is epilepsy or the seizure type.

In addition, the seizure types often accompanied in the onset of pediatric epilepsy are childhood grand mal seizures and childhood petit mal seizures. Among them, when children have a grand seizure, the patients are often unconscious, tetanic, fist-clenched, twitch of muscles and face, look at both eyes, and erupt white foam or make various sounds strangely, and are awake after several minutes. The duration can be as long as twenty-thirty minutes, and the symptoms of the children epileptic seizure are called status epilepticus. When children have small epileptic seizures, the symptoms of the children's epileptic seizures are called children's epileptic seizures, wherein the children have sudden and transient loss of consciousness, fixation of eyes, action language stoppage, unconsciousness and no convulsion, and the symptoms can be recovered generally within 30 seconds. Because the symptoms of the two types of children epileptic seizures are clear and single, the judgment of children epileptic grand mal and children epileptic grand mal is easy. And the judgment of the epileptic onset type of children with complicated partial onset symptoms is relatively more difficult. For example, in the case of clonic seizures of epilepsy in children, only contraction, twitching, flexion and extension, and unconscious disturbance of a certain muscle or muscle group are observed during the seizures, and these minor changes are not easily detected in clinical tests of patients, thereby causing erroneous judgment of the epileptic seizures and being disadvantageous in accurate diagnosis and treatment of the patients' conditions.

In the prior art, as disclosed in patent document CN108647645A, a multimodal epilepsy diagnosis system based on video analysis for epileptic is proposed, which includes a network switch, a camera, a network hard disk video recorder, a desktop, a multimodal monitoring and analyzing module, and EEG electroencephalogram inspection equipment; the multi-modal monitoring analysis module comprises a video analysis sub-module, an EEG electroencephalogram analysis sub-module and an intelligent management sub-module; the video analysis submodule comprises an action detection unit and an action identification unit; the EEG electroencephalogram analysis submodule comprises a feature extraction unit and a feature classification unit; the intelligent management submodule comprises a video storage unit, a evidence obtaining unit and an alarm unit; the diagnosis method comprises the steps that EEG electroencephalogram inspection equipment sends detected electroencephalograms to a multi-mode monitoring analysis module, a camera shoots video information of a patient and sends a desktop computer and the multi-mode monitoring analysis module, the multi-mode monitoring analysis module establishes a judgment model, and the multi-mode monitoring analysis module analyzes videos.

In practical application, because the seizure process of a clonic epilepsy patient has the characteristic of 'paroxysmality', a specific occurrence time node of the seizure process is unknown, and long-time, multi-angle and multi-part continuous detection is needed when the video detection of the clonic epilepsy patient is needed, therefore, a conventional mode of starting a camera for a long time to acquire data in the seizure process of the epilepsy patient belongs to a relatively low-efficiency detection mode, so that massive image data signals are generated and contain a large amount of invalid information, thereby bringing difficulty to subsequent data processing and greatly influencing the detection efficiency. In addition, when the epilepsy starts to attack, the camera is started to carry out omnibearing video recording monitoring on the attack process, and enough video support can be provided for the diagnosis of the attack process of the doctor.

Disclosure of Invention

Aiming at the problem that the sickbed for epileptic patients widely applied in the field at present has serious technical defects so as to cause certain obstacles to the subsequent targeted therapy, the patent document with the publication number of CN108647645A in the prior art proposes a multi-modal epileptic diagnosis system based on video analysis for epileptic patients, which adopts a mode of continuously starting a camera for a long time to collect data in the process of epileptic seizure, however, in the actual application, the system cannot adapt to the paroxysmal and unknown epileptic seizure, and generates a huge number of image data signals, and most of the image data signals are invalid information, which not only brings the technical problem that how to have detection efficiency and detection precision under a huge data volume which cannot be overcome by the technical field of intelligent computer vision for the subsequent data processing, and because the huge of data processing work load will seriously influence the protection timeliness, there is potential safety risk.

In addition, the pediatric sickbeds are mostly specially designed and have special sizes; the invention aims to be adapted to the existing ward equipment, and separately improves the bed bumper with low additional cost for meeting the requirements of epilepsy monitoring and protection. The invention provides a telescopic protective alarm bed rail, which at least comprises: the epilepsia analysis module is used for receiving and analyzing relevant data signals collected by an epilepsia data collector and related to a target object in a target area, and is characterized in that the epilepsia analysis module controls the operation of a protective part on a bed body based on the coupling relation between response data of the epilepsia analysis module and at least one epilepsia data collector with different awakening conditions and awakening levels so as to realize effective protection of a patient on the bed body during epileptic seizure, wherein the epilepsia data collector at least comprises an electroencephalogram detection device, an infrared probe and a camera. The system/the bed file can complete accurate detection and timely protection of the epileptic seizure process of the epileptic patient through smaller data processing workload on the basis of avoiding the serious technical defects of the traditional real-time video detection analysis scheme. The telescopic protection alarm bed rail provided by the invention can be selectively folded and unfolded while ensuring the protection effect according to the needs, so that children epileptics can conveniently get on or off the bed; moreover, the method can accurately acquire related data signals aiming at the morbidity process of the epilepsy, and avoid generating a large amount of invalid data, thereby improving the detection efficiency of the morbidity process of the epileptic, and particularly judging and detecting the morbidity process of the clonic epilepsy patient; in addition, the invention can give an alarm and remind aiming at different morbidity processes of the children epilepsy patient, and provides safety early warning and safety guarantee for the morbidity process of the patient while accurately acquiring physiological parameters such as video data, electroencephalogram data and the like according to requirements.

According to a preferred embodiment, the epilepsy analysis module starts and stops the detection of the electroencephalogram detection device on the electroencephalogram signal of the patient on the bed body based on the first awakening condition, judges to obtain first response data containing the epileptic seizure type of the patient based on at least the detected electroencephalogram signal, and/or starts the detection of the infrared probe on the posture of the patient when the current first response data meets the second awakening condition, and processes to obtain second response data containing the judgment result based on at least the detected image information, and/or starts the detection of the behavior of the patient by the camera when the current second response data meets the third awakening condition, and processes to obtain third response data containing the epileptic seizure type of the patient based on at least the detected video data.

According to a preferred embodiment, the epilepsy analyzing module is configured to analyze the data signal detected by the electroencephalogram detecting device to determine whether the data signal is currently in a full-body tonic clonic attack stage, and/or the epilepsy analysis module is configured to perform a real-time barycentric analysis based on image information detected by the infrared probe, and when the real-time gravity center obtained by the analysis is lower than a preset threshold value, the patient is judged to be in the lying posture at the moment, and/or when the epilepsy analysis module processes and obtains second response data containing the judgment result of the onset of the patient's generalized tonic-clonus, the epilepsy analysis module judges that the current second corresponding data meets a third awakening condition, starts a camera, the method comprises the following steps of carrying out video acquisition on a patient on a sickbed so as to judge the whole body clonus type epilepsy attack process of the patient and acquire related data.

According to a preferred embodiment, the electroencephalogram abnormality waveform is a fast wave at 10Hz, and the waveform features alternating increasing amplitude, slowing frequency, and slow waves in clonic phases.

According to a preferred embodiment, when the epilepsy analysis module determines that the current second response data satisfies the third wake-up condition and instructs the camera to start recording and storing video images, the epilepsy analysis module marks the current timing as a seizure period.

According to a preferred embodiment, during the attack, when the waveform of the electroencephalogram signal detected by the electroencephalogram detection device is a multi-spine-slow wave, spine-slow wave and/or spike-slow wave, the epilepsy analysis module classifies the data collected by the epilepsy data collector, and transmits the data into the data storage for storage in a mode of marking as a generalized tonic-clonic attack type.

According to a preferred embodiment, after the episode period is over, when the electroencephalogram signal detected by the electroencephalogram detection device shows obvious electroencephalogram inhibition, the epilepsy analysis module re-marks the suspected whole-body tonic clonic episode type as the whole-body tonic clonic episode type and performs classified storage.

According to a preferred embodiment, the protection part further comprises an early warning device, wherein the early warning device is used for acquiring a result processed by the epilepsy analysis module based on the data signal acquired by the epilepsy data acquisition device, and sending early warning information when the result is judged to exceed an early warning threshold value.

According to a preferred embodiment, the warning device is used for acquiring a result obtained by processing the epilepsy analysis module based on the data signal acquired by the epilepsy data acquisition device, and sending warning information when the result is judged to be an epilepsy attack, and/or sending warning information when the result is judged to be an epilepsy attack

When the camera starts to collect video data, the early warning device sends out early warning information to remind surrounding personnel of paying attention to the change condition of a patient, and meanwhile, the early warning device is used for reminding accompanying personnel of not being close to or blocking the camera to intervene in the video data collection process of the camera on the epileptic seizure process of the patient.

The invention also provides a safety protection device for the epileptic infant, which comprises: a bed bumper; the epilepsy data acquisition unit at least comprises one or more of an electroencephalogram detection device, an infrared probe and a camera; epilepsy analysis module and early warning ware, characterized in that epilepsy analysis module is configured as: the electroencephalogram detection device is turned on and off to detect the electroencephalogram signals of the patient on the bed body based on the first awakening condition, and determining first response data containing the type of epileptic seizure of the patient based on at least the detected brain electrical signals, and/or to initiate detection of a patient posture by the infrared probe when the current first response data satisfies a second wake-up condition, and processing to derive second response data containing a result of the determination based on at least the detected image information, and/or turning on the detection of patient behavior by the camera when the current second response data satisfies the third wake-up condition, and processing third response data comprising the patient seizure type based at least on the detected video data, and/or when the epileptic seizure classification result is judged, transmitting the relevant epileptic seizure classification result to an early warning device or indicating a bed file to operate.

Drawings

FIG. 1 is a schematic view of the simplified module connection relationship of the telescopic protective alarm bed rail provided by the present invention; and

fig. 2 is a simplified overall structure diagram of the safety protection device for children with epilepsy provided by the present invention.

List of reference numerals

1: bed body 2: the lifting mechanism 3: breast board

4: the active lifting rod 5: driven lifting rod 6: driving mechanism

Detailed Description

The present invention will be described in detail with reference to the accompanying drawings.

Fig. 1 is a schematic diagram showing a connection relationship between simplified modules of a telescopic protective alarm bed rail according to the present invention, and fig. 2 is a schematic diagram showing a simplified overall structure of a safety protection device for an epileptic infant according to the present invention.

The telescopic protective alarm bed bumper comprises at least one protective part arranged on a bed body. The four side surfaces of the bed body 1 can be provided with a protective part. The bed body 1 is used as a main monitoring area for carrying out the epileptic seizure process video detection. The protective parts can be arranged one by one along the circumferential direction of the bed body 1 to form a semi-closed blocking effect. When children epileptic is located bed body 1, rail column structure can restrict infant's activity space, is provided with soft mattress and toy etc. on the bed body 1, can provide comfortable safe detection environment for the infant, suddenly leave the bed or tumble and cause the damage to the infant when avoiding epileptic proruption.

The telescopic protection alarm bed gear further comprises an epilepsy data collector, an epilepsy analysis module and an early warning device. The epilepsy data collector may include: the electroencephalogram detection device comprises a plurality of groups of cameras for acquiring image information of a target object in a target area, a plurality of groups of infrared probes matched with the cameras for use, and an electroencephalogram detection device for acquiring electroencephalogram signals.

In the process of the disease attack of the epileptic, the pathological features of the epileptic are mainly reflected in the phenomena of convulsion of limbs, white foam or blood foam which is concentrated in the mouth of the face area, mydriasis and the like, and the accurate acquisition of the image information of the relevant parts is helpful for diagnosing the illness state of the epileptic. In view of the above, the telescopic protection alarm bed rail provided by the present application is provided with at least three groups of cameras near the bed body 1 or beside the protection part. The multiple groups of cameras are used for collecting the multi-part video signals of the body of the object to be detected. The multiple groups of cameras are at least used for collecting image information of specific parts of a patient, such as face image information, limb image information, trunk image information and the like.

The infrared probes are arranged near the bed body 1 or beside the protection part. The infrared probes are used for monitoring the real-time posture of the object to be detected. Several groups of infrared probes are used to detect motion data parameters of a target object in a target area. When a target object appears in the target area, the infrared probe can detect the target object and then transmits a detection signal to the epilepsy analysis module for data analysis and processing. Preferably, the infrared probe mentioned in the present application may be one or a combination of both of an active infrared probe and a passive infrared probe.

The electroencephalogram detection device is arranged near the bed body 1 or beside the protection part. The electroencephalogram detection device is used for monitoring electroencephalogram data of an object to be detected. The brain wave detection device mainly comprises an electroencephalogram electrode and a signal conditioning circuit. The electroencephalogram electrode is used for collecting electroencephalogram signals and transmitting the electroencephalogram signals to the signal conditioning circuit for preprocessing. The signal conditioning circuit may include an amplifying circuit and a filtering circuit connected in series. The output end of the filter circuit is connected with the analog-digital conversion circuit. The EEG signals recorded by the EEG electrode are filtered and amplified by a signal conditioning and amplifying circuit, and then are converted into digital signals through an analog-digital conversion circuit and output.

The epilepsy analysis module is used for receiving the data signals collected by the epilepsy data collectors and analyzing and processing the data signals in real time. The epilepsy analysis module judges the epileptic attack process and type according to the processed data signals. The epileptic analysis module is used for detecting electroencephalogram signals in the early stage of epileptic seizure and during the seizure, compressing the electroencephalogram signals and controlling communication among the modules. The epilepsy analysis module acquires electroencephalogram signals with preset fixed time length from a storage part and carries out two-stage secondary classification on the acquired electroencephalogram signals; the primary secondary classification output is normal electroencephalogram signals and abnormal electroencephalogram signals, and the secondary classification output is electroencephalogram signals in the early stage of epileptic seizure and electroencephalogram signals in the period of epileptic seizure.

The early warning device is connected with the epilepsy analysis module and used for obtaining a data processing result of the epilepsy analysis module. The early warning device triggers corresponding early warning information according to the received data processing result to carry out real-time early warning. The early warning device may include a display module, an audio module, and a micro-motor. The display module, the audio module and the micro motor are all connected with the microprocessor. The display module is used for displaying the electroencephalogram signals in real time and highlighting the epileptic seizure types and the electroencephalogram signals in the seizure period. The audio module and the micro motor are used for outputting early warning information.

Aiming at the auxiliary requirements of diagnosis and treatment of epileptics, most of protection systems or auxiliary systems proposed in the prior art adopt the whole-course real-time video detection and real-time analysis technology, and the technical problem that how to have both detection efficiency and detection precision under the condition of large data volume cannot be overcome in the technical field of intelligent computer vision in terms of data processing process no matter the huge data processing workload caused by continuously opening a camera for a long time; moreover, most of the huge data are invalid information, and the data processing effectiveness is extremely low; in addition, due to the huge data processing workload, the timeliness of protection is seriously influenced, and potential safety risks exist for younger children patients. Therefore, the system/the bed file can complete accurate detection and timely protection of the epileptic seizure process of the epileptic patient through small data processing workload on the basis of avoiding the serious technical defects of the traditional real-time video detection analysis scheme.

The system/the bed file firstly accurately judges the epileptic seizure process of a to-be-detected object, and then starts a video monitoring function in the disease attack process of a patient to realize the collection of effective data signals. In the disease monitoring process of the epilepsy of the child patient, the epilepsy analysis module starts and stops the detection of the electroencephalogram detection device on the electroencephalogram signals of the patient on the bed body based on the first awakening condition. The first awakening condition refers to a starting instruction which is acquired by the electroencephalogram detection device and input by an operator, or acquired wearing information of the electroencephalogram electrode attached to the skin of the infant. The electroencephalogram detection device is connected to a patient to be detected for a long time and used for continuously detecting electroencephalogram signals, compared with audio and video data with huge data volume, the data volume of the data signals collected by the electroencephalogram detection device is very small, the processing process is simple and reliable, and the data processing efficiency of the whole system/bed file cannot be influenced even if the electroencephalogram detection device is opened for a long time.

And analyzing the electroencephalogram data detected by the electroencephalogram detection device by the epilepsy analysis module. The epilepsy analysis module judges first response data containing the epileptic seizure type of the patient based on the detected electroencephalogram signals. When the electroencephalogram obtained by analyzing the data signals detected by the electroencephalogram detection device is a fast wave with 10Hz, the wave amplitude of the data signals is gradually increased, the frequency of the data signals is gradually reduced, and the slow waves in the clonic period alternate, the epilepsy analysis module preliminarily judges that the patient enters the full-body tonic clonic attack period, and first response data containing the full-body tonic clonic attack period are obtained. The first response data of the epilepsy analysis module is coupled with the second awakening condition of the infrared probe. And when the first response data comprise the whole body tonic clonic attack period, the first response data meet the second awakening condition.

And when the epilepsy analysis module judges that the current first response data meets a second awakening condition, starting an infrared detection function of the infrared probe, and detecting the posture change of the patient in the target area on the sickbed in real time. The epilepsy analysis module processes the detected image information to obtain second response data containing a judgment result. Specifically, the method comprises the following steps: the epilepsy analysis module carries out real-time gravity center analysis based on image information detected by the infrared probe, and when the real-time gravity center obtained after analysis is lower than a preset threshold value, the patient is judged to be in a lying posture at the moment. Preferably, the preset threshold is located at the real-time gravity center position when the patient lies on the side and the real-time gravity center position when the patient sits. When the patient suffers from the clonus of the whole body, the patient is suddenly straightened and falls down, and the patient is carried out in a lying posture to finish the subsequent epileptic attack process. And the second response data of the epilepsy analysis module is coupled with the third awakening condition of the camera. And when the second response data comprise the lying posture, the second response data meet a third awakening condition. The electroencephalogram detection device, the infrared probe and the camera respectively correspond to different awakening conditions and different awakening levels. The awakening level is determined based on the combination of the data type collected by each epilepsia data collector and the data processing workload, and the awakening level is used for determining the starting sequence of each epilepsia data collector and is started step by step according to the sequence of the electroencephalogram detection device, the infrared probe and the camera.

When the epilepsy analysis module judges that the current second response data meets the third awakening condition based on the data signals detected by the electroencephalogram detection device and the infrared probe, the camera is started to collect the video signals in the process of carrying out full-body tonic clonus type epilepsy attack on the patient on the sickbed, so that the judgment of the full-body tonic clonus type epilepsy attack process and the collection process of the related data are realized. Preferably, when the camera starts recording and storing the video image based on the judgment result of onset of the full-body tonic clonus obtained by analyzing the epilepsy analysis module, the epilepsy analysis module marks the time sequence thereof as the seizure period.

During the attack, when the waveform of the electroencephalogram signal detected by the electroencephalogram detection device is complex waves such as multi-spine-slow waves, spine-slow waves and/or tip-slow waves, the epilepsy analysis module classifies the data collected by the epilepsy data collector, and transmits the data to the data memory for storage in a mode of marking the data as a generalized tonic clonic attack type. Preferably, the stored information also includes patient basic information, such as name, age, etc. Preferably, when the waveform of the electroencephalogram signal detected by the electroencephalogram detection device during the seizure does not conform to the waveforms of multi-spine-slow wave, spine-slow wave and/or tip-slow wave and other complex waves, the epilepsy analysis module stores the data acquired by the epilepsy data acquisition unit separately and marks the data as the suspected generalized tonic-clonic seizure type. When the electroencephalogram signals detected by the electroencephalogram detection device after the attack period have obvious electroencephalogram inhibition, the suspected whole-body tonic clonic attack type is marked as the whole-body tonic clonic attack type again and classified storage is carried out. The alarm notifies the family members and/or medical staff of the epileptic seizure according to the analysis and processing result of the epileptic analysis module, and reminds the concerned patient of the change in the epileptic seizure process, so that emergency measures can be taken conveniently in the accidental situation. And the video data acquisition process is used for reminding the accompanying personnel not to approach or shield the camera, and avoiding intervening the process of the camera on the epileptic seizure of the patient.

According to a preferred embodiment, when the background wave of electroencephalogram data detected by the electroencephalogram detection device during an epileptic seizure is abnormal, the epileptic analysis module preliminarily judges that the epileptic seizure is an epileptic seizure based on the data signal acquired by the electroencephalogram detection device. As used herein, the term "background wave abnormality of electroencephalogram data" refers to a condition that includes a multi-spike with a 9-10Hz onset, a different degree of rhythmic spike-slow complex between episodes, and a contemporaneous occurrence of three waveform characteristics that exhibit intermittent asymmetry. At the moment, the infrared probe synchronously starts an infrared detection function based on a preliminary judgment result obtained by analyzing the epilepsy analysis module, and detects the posture change of the patient in the target area on the sickbed. The epilepsy analysis module carries out real-time gravity center analysis based on the image information detected by the infrared probe. And when the real-time gravity center obtained after analysis is lower than a preset threshold value, judging that the patient is in the lying posture at the moment. And the epilepsy analysis module indicates the camera to be started based on a judgment result of the beginning of the patient's ankylosing morbidity type obtained after the data signals detected by the electroencephalogram detection device and the infrared probe are analyzed. The camera collects video signals in the whole body clonus type epilepsia attack process of a patient on a sickbed. The judgment of the whole body clonic epilepsy attack process and the acquisition process of related data are realized.

According to a preferred embodiment, when the background wave of electroencephalogram data detected by the electroencephalogram detection device during an epileptic seizure is normal, the epileptic analysis module preliminarily judges that the epileptic seizure is an absence seizure based on the data signal collected by the electroencephalogram detection device. The 'normal background wave of electroencephalogram data' mentioned in the application refers to the condition that three waveform characteristics of regularly symmetrical appearance during the attack, diffuse synchronous 3 Hz-slow complex and spike wave or spike-slow wave can occur during the attack. Preferably, the change in the electroencephalogram characteristic of absence attacks may begin slightly faster, with 2-4Hz in the process, and may also have a spino-slow wave component.

At present when carrying out video monitoring and relevant physiological parameter data detection to children's epilepsy patient's morbidity process, at first put into the appointed sick bed with the patient on, pull up the guard portion and fix simultaneously, because in above-mentioned long-time inspection process, the accompanying and attending personnel such as patient's head of a family need feed the patient and eat, feed medicine or in order to reduce the patient and be in when the claustrophobia that produces when the space, all can put down the guard portion temporarily to take care of the patient better. Under the condition, when accompanying personnel such as parents of a patient are busy in other things and forget to pull up the protective part, the attention of the patient is inevitably cared for, and for a child patient, the child patient has the characteristic of being natural and vivid, so that the patient is easy to fall down, and a sickbed adopted at present for examining the child epilepsy patient is higher than a common household bed, so that the child can be injured to a greater extent when falling down. In contrast, in the telescopic protective alarm bed rail provided by the present application, the lifting operation of the protective part is indicated based on the data signal processing result obtained by the epilepsy analysis module. Preferably, in the initial state, the protector is in a completely dropped state. The "initial state" referred to in this application refers to the state before the patient is placed in the bed 1, when the highest point of the shield is at least below the upper surface of the bed 1.

In the telescopic protection alarm bed bumper provided by the application, the status of the child patient on the bed with the sickness is monitored by acquiring related data signals of the target object in the target area covered by the epilepsia data acquisition device. And analyzing and processing the state of the child patient based on the acquired related data signals by means of an epilepsy analysis module to judge the state of the child patient on the sickbed. For example, when the relevant data signal is detected in the target area, the patient is determined to enter the target area, and at this time, the protection part is lifted to provide a safety protection function for protecting the safety of the patient on the sickbed to the maximum extent. Preferably, in the telescopic protection alarm bed fence provided by the application, when the epilepsy analysis module receives instruction information for closing the epilepsy data collector, the epilepsy analysis module instructs the protection part to descend. When accomplishing relevant data acquisition process, medical personnel close epilepsy data acquisition device's data acquisition process, and epilepsy analysis module judges that the data signal acquisition process of epilepsy morbidity process ends, and the patient need leave the bed this moment, and epilepsy analysis module sends out the instruction and instructs the guard portion to fall, and the patient of being convenient for leaves the bed.

According to a preferred embodiment, the telescopic protective alarm bed rail further comprises a lifting mechanism. The lifting mechanism is used for driving the lifting process of the protection part according to the data signal processing result obtained by the epilepsy analysis module.

Under the condition that a patient enters and/or is positioned in the area of the bed body 1 of the sickbed, the epilepsy analysis module analyzes data signals collected by the epilepsy data collector, and feeds back the obtained data signal processing result to the lifting mechanism, so that the lifting process of the protection part is realized through the lifting mechanism. Preferably, the lifting mechanism used in the present application is an existing driving device, for example, the lifting structure provided in chinese patent CN110575329A can be used. When the epileptic data collector does not detect the related data signals in the target area, it is judged that no patient needing to be detected exists in the bed body 1, and the lifting mechanism is kept in a power-off state. The protection part is in a completely falling state, so that a patient can conveniently enter the area of the bed body 1 of the sickbed. When the epilepsia data collector starts to detect the relevant data signals, it is judged that a patient enters the bed body 1 or is in the area of the bed body 1, and the protection part is driven to rise through the lifting mechanism at the moment, so that the patient on the sickbed is protected safely.

In the existing protection systems or auxiliary systems which mostly adopt the whole-course real-time video detection and real-time analysis technology at present, when video detection is carried out, when a patient enters a sickbed, medical staff connects and starts a video detection device and related physiological parameter detection equipment such as a brain wave detection device and the like to carry out long-time-period and continuous related data signal detection on the patient, and some modes also start video recording actions when infrared detection is carried out on a target object to judge that the target object is in an active state (namely, a follow-up mode is adopted). However, since the seizure process of an epileptic patient is characterized by "paroxysmal", the specific occurrence time node of the seizure process is unknown, and the video detection of the epileptic patient needs to be performed continuously for a long time, at multiple angles and at multiple positions, the conventional data acquisition method for the seizure process of the epileptic patient belongs to a relatively inefficient detection method, and thus, a large amount of image data signals are generated, which contain a large amount of invalid information, thereby causing difficulty in subsequent data processing and greatly affecting the detection efficiency. Therefore, the traditional real-time video detection and analysis scheme with the serious technical defects is abandoned, and an improved detection and analysis scheme is provided by combining the auxiliary requirements of diagnosis and treatment of the epileptic infant: when the action data signal is not detected in the target area, closing the camera, namely stopping the video data signal acquisition process by the camera; and when the target area detects the action data signal, the camera is started, namely the camera starts the video data signal acquisition process.

When the infrared probe detects the action data signal, the epilepsy analysis module analyzes and compares the action data signal with a preset video data signal acquisition threshold value:

when the detected action data signal is lower than the video data signal acquisition threshold, judging the acquired action data signal as an action data signal generated by the general activity of the patient, and at the moment, not starting a camera to carry out the video data signal acquisition process; and/or

When the detected action data signal exceeds a video data signal acquisition threshold, judging the acquired action data signal as an action data signal generated by the epileptic seizure of the patient, and starting a camera to carry out an acquisition process of the video data signal; and/or

When the patient is in the video data signal acquisition area, actions generated by general activities performed by the patient trigger the camera to perform the video data signal acquisition process. Although a part of unnecessary data processing amount is increased in the process, the process of comparing the action data signal acquired by the infrared probe with the video data signal acquisition threshold can be used for discriminating the epileptic disease onset process in the part of unnecessary data. Therefore, the video data signal acquisition of the epileptic attack process of the patient is accurately carried out, the data acquisition and analysis amount is greatly saved, and the detection efficiency is improved.

The epilepsy analysis module carries out continuous analysis and comparison on the action data signals detected by the infrared probe, and when the variation amplitude and the frequency of the action data signals within any certain continuous time period reach a preset threshold value, the epilepsy analysis module judges that the patient is in the process of epileptic seizure, instructs the camera to be started, and collects the video data signals of a target area. When the epileptic patient is in seizure, the body and/or the limbs of the epileptic patient generate periodic tremor actions, namely, the action data parameters detected by the infrared probe during the seizure of the epileptic patient are limited in a certain range and are in periodic jumping change similar to a regular cycle. Preferably, the telescopic protective alarm bed rail further comprises a data memory for storing pre-stored data signals and collected data signals. The epilepsy analysis module is used for continuously analyzing and comparing the motion data signals detected by the infrared probe with the pre-stored data signals, when the data change amplitude and frequency of the motion data signals and the pre-stored data signals reach a preset matching degree, the epilepsy analysis module judges that the patient is in the process of epilepsy attack, and starts the camera to collect the video data signals of the target area. "predetermined degree of match" means that the degree of match is not less than 90%. And when the amplitude and frequency of the change of the motion data signal are lower than the preset matching degree compared with the data in the pre-stored data signal, judging that the patient is in a general activity state, and keeping the closing state of the camera or closing the acquisition process of the video data signal of the camera. The "pre-stored data signal" may comprise an action data signal and/or an image data signal at the onset of an epileptic patient.

The early warning device is used for acquiring a result of analyzing and processing the data signal acquired by the epilepsy data acquisition device by the epilepsy analysis module and sending out early warning information when judging that the result exceeds an early warning threshold value. Preferably, when the result obtained by the epilepsy analysis module is judged to be the epilepsy attack, the early warning device sends out early warning information. Therefore, when the camera starts to collect video data signals, early warning information is sent out through the early warning device to remind surrounding personnel of paying attention to the change condition of a patient, and meanwhile, the patient accompanying personnel is also reminded of not being close to or shielding the camera, so that the intervention in the video data signal collection process of the epileptic seizure process of the patient is avoided.

The telescopic protection alarm bed bumper provided by the application realizes the lifting process based on the result obtained by the epilepsy analysis module. When a patient enters and/or is in a sickbed, an infrared probe in the epilepsy data acquisition unit starts to detect action data signals of a target object in a target area, the epilepsy analysis module compares the action data signals with pre-stored dangerous action data signals, and when the action data signals are matched with the pre-stored dangerous action data signals, the lifting mechanism responds to the matching result of the epilepsy analysis module to drive the protection part to lift so as to prevent the patient from falling into the sickbed. Preferably, the pre-stored dangerous motion data signals may include motion data signals generated by motions of a child such as standing, climbing, jumping, and seizing.

The epilepsy analysis module compares the data signal with a pre-stored dangerous motion data signal, and when the data signal and the pre-stored dangerous motion data signal reach a preset matching degree, the epilepsy analysis module instructs the camera to start to acquire the video data signal of the target object in the target area. The epilepsy analysis module analyzes based on the video data signal of the target object collected by the camera so as to judge the geometric gravity center of the target object in real time. When the current geometric gravity center is judged to reach and/or exceed the preset threshold value, the lifting mechanism responds to the judgment result of the epilepsy analysis module to drive the protection part to lift. The epilepsy analysis module analyzes the video data signals collected by the camera and compares the geometric gravity center of the target object with a pre-stored combined gravity center threshold value. And when the comparison result is judged to be a dangerous state, the early warning device is indicated to send out early warning information.

When the human body moves, the geometric gravity center position of the whole body changes at any time, and different movement postures correspond to different geometric gravity center positions. When the child is in a standing, climbing, jumping and other motion state, the geometric gravity center of the child is obviously higher than that of the child in sitting, lying and other postures. The geometric center of gravity may be obtained by analyzing the image data signal for the target object. Specifically, when the child patient enters and/or is in a sickbed, the infrared probe starts to collect relevant action data signals of the target object. The infrared probe sends the collected action data signals to the epilepsy analysis module to be compared with the prestored dangerous action data signals. And when the comparison result reaches a preset matching degree, for example, the matching degree reaches 90%, starting the camera to acquire the video data signals of the target object in the target area.

The epilepsy analysis module preferably converts the acquired video data signals into image data signals, and analyzes the geometric gravity center of the image data signals, so as to verify whether the target object is in a state of performing dangerous actions. Preferably, when the patient is in the process of onset of epilepsy, the action data signal acquired by the infrared probe triggers the camera to perform the acquisition process of the video data signal, so that even if the geometric center of gravity of the epilepsy patient in the process of onset of epilepsy is lower than the preset threshold of the geometric center of gravity, the acquisition of the video data signal in the process of onset of epilepsy is not affected. Preferably, the predetermined threshold value of the geometric center of gravity is the height of the center of gravity of the child when the child is seated, for example, the predetermined threshold value of the geometric center of gravity is 40-50 cm.

And lifting the protection part in a grading manner according to an analysis result obtained by analyzing the acquired data signal of the epilepsy data acquisition unit by the epilepsy analysis module. When a patient enters and/or is on a sickbed, an infrared probe in the epilepsy data acquisition unit starts to detect action data signals of a target object in a target area, and the epilepsy analysis module compares the action data signals with pre-stored dangerous action data signals based on the action data signals. When the action data signal is matched with the pre-stored dangerous action data signal, the lifting mechanism responds to the matching result of the epilepsy analysis module to drive the protection part to lift in a first stage. And the early warning device sends out reminding information when judging the state as a potential danger state under the condition that the preset matching degree is met after comparing the action data signals collected by the infrared probe with the pre-stored dangerous action data signals based on the epilepsy analysis module. Preferably, the height of the first stage of the shield part can be at least half of the maximum height that the shield part can be raised. The protection part slowly rises in the process of primary rising, and simultaneously gives out voice prompt through the early warning device.

When the geometric gravity center reaches and/or exceeds a preset threshold value, the lifting mechanism responds to a judgment result of the epilepsy analysis module to drive the protection part to carry out secondary lifting, and the early warning device judges that the geometric gravity center of the target object obtained by analyzing the video data signal acquired by the camera and a comparison result of a prestored combined gravity center threshold value are in a dangerous state based on the epilepsy analysis module and sends out early warning information. Preferably, the secondary rising height of the shield is the maximum height that the shield can rise. For children patients with epilepsy, various sudden and direct sensory stimulation which may induce epilepsy attacks should be avoided as much as possible in daily life, and an environment which is comfortable, loose and does not have a sense of space suppression should be created, so that the development of the patients is facilitated, active guidance can be generated for the patients, and the treatment and rehabilitation of the patients are facilitated. Therefore, during the process of collecting the video data signals and collecting the physiological parameter data during the onset process of the epileptic, the situation that the protective part suddenly rises and falls during the examination process to stimulate the epileptic of the child is avoided.

The epilepsia analysis module starts and stops the electroencephalogram detection device to detect the electroencephalogram signals of the patient on the bed body based on the first awakening condition and a pre-stored clock synchronization mode, and judges to obtain first response data containing the epileptic seizure type of the patient at least based on the detected electroencephalogram signals.

And when the current first response data meet a second awakening condition, starting the detection of the infrared probe on the posture of the patient based on a pre-stored clock synchronization mode, and processing at least based on the detected image information to obtain second response data containing a judgment result.

And when the current second response data meet a third awakening condition, starting detection of the patient behavior by the camera based on a pre-stored clock synchronization mode, and processing to obtain third response data containing the patient seizure type based on at least the detected video data.

The pre-stored clock synchronization pattern refers to performing clock synchronization between each communication device and the epilepsy analysis unit step by step, distinguished from a specific order. Clock synchronization refers to calibrating the local clock of each intelligent agent device by designing a corresponding protocol and a synchronization algorithm, so that all devices in the network have a global common clock. For a functional module with a clock, all timing task processing, data curve and historical report generation depend on the clock in the module. If the time in each module is not synchronous, abnormal data and conditions are easily caused. Under normal conditions, the main control module provides timing synchronization signals for other communication devices. At present, the main means for preventing time asynchronization among modules is timing time synchronization, that is, the time of one module (for example, a master control module) is used as a reference, and the module performs unified time synchronization on other modules at regular time, so that time synchronization can be theoretically realized. However, as the paroxysmal epilepsy has uncertainty of attack time, the method of timing the time pair will cause clock synchronization delay, and the time between each communication device is not synchronous, which easily causes abnormal data and conditions. In this regard, the clock synchronization pattern proposed in the present application can be distinguished from a specific sequence (i.e., referred to as a wake-up sequence) between the communication devices (i.e., referred to as a plurality of detection units), and the epilepsy analysis unit performs clock synchronization with the detection units, respectively. The node of clock synchronization is performed when the detection unit and/or the epilepsy analysis unit transmit and receive signals. For example, while the electroencephalogram monitoring device sends the monitored first signal to the epilepsy analysis unit, the epilepsy analysis unit and the electroencephalogram monitoring device perform clock synchronization to obtain clock information aligned with the received data, so that the data can be correctly recovered from the received data waveform. The millisecond clock synchronization is particularly suitable for uncertainty of the seizure time of the paroxysmal epilepsy while the accuracy of data is guaranteed, and the seizure time of the paroxysmal epilepsy can be accurately captured.

At present, the pediatric sickbed mainly comprises a bed body structure provided with an electric bed baffle and a bed body structure not provided with the bed baffle. For the bed structure without bed stop, as shown in fig. 2, the safety protection device for epileptic infant proposed by the present application can be directly added to the existing bed structure. For the bed body structure provided with the electric bed bumper, a button switch originally arranged on the bed body structure is changed into a wireless remote control switch, and the lifting state of the bed body structure is controlled by an epilepsy analysis module; or the circuit of the original button switch is adjusted, so that the lifting of the bed bumper structure can be controlled by the epilepsy analysis module. Therefore, the invention can be well adapted to most types of pediatric sickbeds with bed bodies commonly applied in the existing market, the additional cost is low, and the bed bumper is separately improved for meeting the requirements of epilepsy monitoring and protection.

As shown in fig. 2, the invention also discloses a safety protection device for the epileptic infant, which comprises the telescopic protection alarm bed rail. As shown in fig. 2, the safety protection device comprises a lifting mechanism 2 hinged on at least one side of the bed body 1. The lifting mechanism 2 comprises supporting mechanisms which are arranged at two ends of the bed body and are vertical to the bed body 1. The support means are connected by at least one balustrade 3. The balustrade 3 is arranged in such a way that it remains horizontal relative to the bed surface throughout the operation of the lifting mechanism 2.

When a child patient to be subjected to video monitoring and physiological parameter acquisition enters the bed body 1 of the sickbed, the lifting mechanism 2 drives the railing panel 3 hinged with the child patient to be gradually lifted to finally reach the preset maximum height, so that the child patient is limited on the bed body 1, and the condition that the child patient falls down due to involuntary movements such as twitching in the disease attack process of epilepsy is prevented. Preferably, the balustrade 3 is made of a telescopic material, or the lifting mechanism 2 is hinged in a sliding groove parallel to the axial direction of the balustrade 3. Preferably, the balustrade 3 is vertically reciprocable along the support means. Preferably, the balustrade 3 is connected to at least one end of the lifting mechanism by means of a hinge. Through setting up horizontal lift's breast board 3, can realize that it prevents the infant from weighing down the quick adjustment of bed in-process in the protection part. The supporting mechanism is lifted to the highest position, namely, when the protection part is completely lifted, the first state is realized at the moment. The support mechanism is lowered to the lowest position, i.e. when the protection part is fully retracted, which is the second state. Wherein, in the first state, the protection part provides stable safety protection for the child patient and prevents the child patient from falling off the bed in the disease process; in the second state, the protective part loses the blocking function, so that the patient can conveniently enter or leave the bed body 1.

The safety protection device also comprises an epilepsia data collector, an epilepsia analysis module and an early warning device. The epilepsy data acquisition unit is used for acquiring data signals on the target part of the epilepsy patient and transmitting the data signals to the epilepsy analysis module. The data signal may include: acceleration signals, electroencephalogram signals, electrocardiosignals, muscle signals and the like. Preferably, the epilepsy data collector comprises: the first sensor is used for acquiring an acceleration signal on a target part of the epileptic; the second sensor is used for acquiring an electroencephalogram signal of the epileptic; the third sensor is used for acquiring electrocardiosignals of the epileptic; and the fourth sensor is used for acquiring the muscle electric signal on the target part of the epileptic. The epilepsy data collector starts to collect data signals at least in the first state. The epilepsy analysis module is used for analyzing and processing the received data signals and transmitting the classification results of the related data signals to the early warning device on the basis of judging the classification results of the data signals. The early warning device is used for triggering corresponding reminding information according to the data signal classification result. Preferably, the telescopic protective alarm bed rail further comprises a data memory for storing prestored data signals.

The reminding information is at least issued according to the following modes: and comparing the processed data signal with a pre-stored data signal. And under the condition that the data signal exceeds the boundary threshold value, the data signal is classified into a dangerous signal, and the epilepsy analysis module transmits the classification result of the data signal to the early warning device and triggers an alarm signal. Because the epileptic seizure has various expression forms, but has the characteristics of sudden onset, abrupt cessation and periodic seizure, when the video monitoring and the related examination of physiological data parameters of the children epileptic patient are carried out, long-time continuous examination is needed to obtain accurate and stable detection data. For reducing the work load of medical personnel and patient accompanying personnel and improving the efficiency of inspection, under the condition that the patient has the sign of morbidity, remind relevant medical personnel and patient accompanying personnel in time to pay attention to the state of the follow-up morbidity process of the patient, remind relevant personnel in time to pay attention to the physical state of the patient on the one hand, avoid producing the action of intervening children's epileptic seizure and influence the inspection result, on the other hand can in time stop and take protective measures when the patient has climbing protection department and other active behaviors endangering self safety. Wherein, the boundary threshold value is the corresponding data signal value in the early period of the disease onset and/or when the patient crosses the protection part (or exceeds a specific area).

And comparing the processed data signal with a prestored data signal at the time of the epileptic seizure under the condition that the data signal is within the boundary threshold range. The period and the type of the epileptic seizure are distinguished, the early warning device selects a reminding mode according to the type of the epileptic seizure, and triggers reminding information according to the selected reminding mode. Different types of epileptic seizures correspond to different reminding modes.

And when the comparison result of the data signals is judged to be in the epileptic seizure process, reminding medical personnel to take attention measures. And preliminarily judging the type of the epileptic seizure and calling corresponding pre-stored cautionary matters to perform classified reminding according to the comparison result of the processed data signal and the pre-stored data signal during the epileptic seizure. For example, when the epileptic seizure is generalized tonic-clonic seizure (grand seizure), the patient's consciousness is suddenly lost, then the patient's consciousness is suddenly lost, and finally the patient's tonic-clonic seizure is followed by screaming, bluish-purple complexion, urinary incontinence, tongue bite, mouth spitting, white foam or blood foam, mydriasis, etc., and the seizure naturally stops after lasting for tens of seconds or minutes, and enters a comatose state, and then becomes unconscious after waking up, and a short time of dizziness, fidgetiness and fatigue is caused, so that the seizure process cannot be recalled, and if the seizure continues, the patient's life safety is often endangered by the patient who is in the comatose state or the grand seizure continues. Under the state, medical care personnel needs to be reminded to pay close attention to each index state of the patient, and if extreme conditions occur, the medical care personnel is reminded to take intervention or emergency measures in time, so that the safety of the patient is ensured, and serious consequences such as cerebral edema, cerebral hernia and respiratory cycle failure caused by symptom attack are avoided.

The supporting mechanism comprises a driving lifting rod 4 and a driven lifting rod 5. The active lifting rod 4 is hinged on at least one side edge of the bed body 1. The active lifting rod 4 can rotate along the direction parallel to the side edge of the bed body 1 which is hinged with the active lifting rod. Through setting up driving, driven lifter, can realize supporting mechanism's synchronous lift, simultaneously, articulated initiative lifter that sets up can be followed and is placed in the direction that is on a parallel with the bed body 1 when packing up, is convenient for realize receiving and releasing of protection portion from this.

The driven lifting rod 5 is internally provided with a sliding component which can move along the direction parallel to the axis of the driven lifting rod. The sliding assembly is connected with one end of the breast board 3. Preferably, the first end of the breast board 3 is hinged with the driving lifting rod 4, and the second end of the breast board 3 is connected with the driven lifting rod 5. Through the sliding assembly who sets up to be connected with the breast board, the breast board can realize following initiative lifter and moving in vertical direction, makes the breast board place along the horizontal direction all the time, has improved the safety protection effect of protection portion.

The driven lifting rod 5 is provided with a trigger switch. The trigger switch is arranged at the position where at least the uppermost sideboard 3 completely reaches the lowest position, so as to stop the related inspection work when the protection part is folded.

The baffle 3 is provided with an infrared transmitting and receiving device which is relatively matched along the axial direction. Under the operating mode that the guard portion risees, because sideboard 3 does not receive except that being on a parallel with its axis direction exogenic action, the infrared ray that infrared emission device sent can be received by infrared receiving device. When the sideboard 3 receives the exogenic action except that being on a parallel with its axis direction, infrared receiving device can not receive the infrared ray because of the infrared ray that infrared emission device sent deviates its former orbit, triggers alarm device this moment, reminds medical personnel or patient's attendant to pay close attention to the condition of patient on the sick bed to avoid the patient to cross the protection part and take place to weigh down the danger of bed.

It should be noted that the above-mentioned embodiments are exemplary, and that those skilled in the art, having benefit of the present disclosure, may devise various arrangements that are within the scope of the present disclosure and that fall within the scope of the invention. It should be understood by those skilled in the art that the present specification and figures are illustrative only and are not limiting upon the claims. The scope of the invention is defined by the claims and their equivalents.

Claims

1. The utility model provides a telescopic protection warning bed shelves is at least including locating on bed body (1):

an epilepsia analysis module for receiving and analyzing relevant data signals collected by the epilepsia data collector regarding a target object within a target area,

it is characterized in that

The epilepsy analysis module controls the operation of a protection part on the bed body (1) based on the coupling relation between response data of the epilepsy analysis module and at least one epilepsy data collector with different awakening conditions and awakening levels, so as to realize effective protection of a patient on the bed body during epileptic seizure, wherein the epilepsy data collector at least comprises an electroencephalogram detection device, an infrared probe and a camera.

2. The telescopic protective alarm bed fence as claimed in claim 1, wherein the epilepsy analysis module turns on and off the detection of the electroencephalogram detection device on the electroencephalogram signal of the patient on the bed body based on the first wake-up condition, and determines to obtain first response data containing the type of the epileptic seizure of the patient based on at least the detected electroencephalogram signal, and/or

When the current first response data meets a second awakening condition, the detection of the posture of the patient by the infrared probe is started, and second response data containing a judgment result is obtained by processing at least based on the detected image information, and/or

And starting the detection of the patient behavior by the camera when the current second response data meets a third wake-up condition, and processing to obtain third response data containing the epileptic seizure type of the patient at least based on the detected video data.

3. The telescopic protective alarm bed rail as claimed in claim 2, wherein the epilepsy analysis module is configured to analyze the data signal detected by the electroencephalogram detection device to determine whether the data signal is currently in a full-body tonic clonic attack stage, and/or whether the data signal is currently in a full-body tonic clonic attack stage

The epilepsy analysis module is configured to perform real-time gravity center analysis based on the image information detected by the infrared probe, and when the real-time gravity center obtained by the analysis is lower than a preset threshold value, the epilepsy analysis module determines that the patient is in a lying posture at the moment and/or determines that the patient is in a lying posture at the moment

When the epilepsy analysis module processes second response data containing a judgment result of the onset of the patient's generalized tonic clonus, the epilepsy analysis module judges that the current second corresponding data meets a third awakening condition, starts a camera, and performs video acquisition on the patient on a sickbed so as to judge the onset process of the patient's generalized tonic clonus epilepsy and acquire related data.

4. The telescopic protective alarm bedrail according to one of the preceding claims, wherein the electroencephalogram abnormality waveform is a fast wave of 10Hz, and the waveform characteristics of increasing amplitude, slowing frequency and slow wave of clonic period alternate.

5. The retractable protective alarm bed fence as claimed in one of the preceding claims, wherein when the epilepsy analysis module determines that the current second response data satisfies the third wake-up condition and instructs the camera to start recording and storing video images, the epilepsy analysis module marks the current timing as a seizure period.

6. The telescopic protective alarm bed according to one of the preceding claims, wherein during the seizure, when the waveform of the electroencephalogram signal detected by the electroencephalogram detection device is a multi-spike-slow wave, a spike-slow wave and/or a spike-slow wave, the epilepsy analysis module classifies the data collected by the epilepsy data collector, and transmits the data into the data storage to be stored in a manner of being marked as a full-body tonic clonic seizure type.

7. The telescopic protection alarm bedrail according to one of the preceding claims, wherein after the episode period is over, when the electroencephalogram signal detected by the electroencephalogram detection device shows significant electroencephalogram inhibition, the epilepsy analysis module re-marks the suspected generalized tonic-clonic episode type as the generalized tonic-clonic episode type and performs classified storage.

8. The telescopic protective alarm bed rail according to one of the preceding claims, wherein the protective part further comprises an early warning device, the early warning device is used for acquiring a result obtained by the epilepsy analysis module based on the data signal acquired by the epilepsy data acquisition device, and sending out early warning information when the result is judged to exceed an early warning threshold value.

9. The telescopic protective alarm bed rail according to one of the preceding claims, wherein the early warning device is used for acquiring a result processed by the epilepsy analysis module based on the data signal acquired by the epilepsy data acquisition device, and sending out early warning information when the result is determined to be an epileptic seizure, and/or sending out early warning information when the result is determined to be an epileptic seizure

10. A safety shield apparatus for an epileptic infant, comprising:

a bed bumper;

the epilepsy data acquisition unit at least comprises one or more of an electroencephalogram detection device, an infrared probe and a camera;

an epilepsia analysis module and an early warning device,

characterized in that the epilepsy analysis module is configured to:

the electroencephalogram detection device is started and stopped to detect the electroencephalogram signals of the patient on the bed body based on the first awakening condition, and first response data containing the epileptic seizure type of the patient are judged and obtained at least based on the detected electroencephalogram signals

Starting the detection of the patient behavior by the camera when the current second response data meets the third wake-up condition, and processing the third response data containing the patient seizure type based on at least the detected video data, and/or

And when the epileptic seizure classification result is judged, transmitting the relevant epileptic seizure classification result to an early warning device or an indication bed file for operation.