90 results about "Electroencephalogram electrode" patented technology

The invention provides a traceability analysis method, device and system based on electroencephalogram signals collected by a mechanical arm. The method comprises the steps that coordinate information of all electroencephalogram electrodes in a first coordinate system is obtained; according to the coordinate information of each electroencephalogram electrode in the first coordinate system and the coordinate transformation relation between the first coordinate system and the second coordinate system, obtaining the first coordinate information of each electroencephalogram electrode in the second coordinate system; calibrating the first coordinate information of each electroencephalogram electrode in the second coordinate system according to the calibration matrix to obtain second coordinate information of each electroencephalogram electrode in the second coordinate system; electroencephalogram signals are acquired through each electroencephalogram electrode; and performing traceability analysis according to the second coordinate information of each electroencephalogram electrode in the second coordinate system and the electroencephalogram signal. According to the traceability analysis method, device and system based on the electroencephalogram signals collected by the mechanical arm, the accuracy of traceability analysis is improved.

Provided herein are apparatuses, systems and methods for non-invasively assessing synaptic dysfunction in a patient with Alzheimer's Disease. Transcranial magnetic stimulation (TMS) is applied to at least one brain region of the patient. A plurality of TMS evoked potentials generated in response to the TMS applied to the at least one brain region of the patient is recorded with a plurality of electroencephalography (EEG) electrodes. At least one characteristic of the plurality of TMS evoked potentials is analyzed to assess synaptic dysfunction in the patient. An indication of the synaptic dysfunction assessment of the patient is output.

A wearable electroencephalography device includes an ear cuff around an auricle of an ear comprising a curved structure conforming to contours of the ear, an electroencephalography electrode positioned on the ear cuff and contacting skin for detecting brain activity signals, a wireless controller integrated with the ear cuff and processing the brain activity signals from the electroencephalography electrode, and a wireless communication module transmitting the processed brain activity signals to an external device. The wearable electroencephalography device includes a mobile application receiving the transmitted brain activity signals from the wireless communication module, analyzing the brain activity signals using machine learning algorithms to determine emotional states of a user, and providing real-time feedback regarding the emotional states through a user interface. The mobile application comprises a self-report interface allowing the user to input subjective state data and a live-feed interface displaying real-time subjective state data derived from the brain activity signals.

The utility model relates to a monitoring head frame convenient to wear on the head, which comprises a head band, an electroencephalogram electrode, a brain oxygen probe, a TCD support and a fixing band, the head band can adjust the annular shape matched with the head, the electroencephalogram electrode is embedded on the head band and captures the electrical activity of the brain, the brain oxygen probe is arranged on the wearing inner side of the head band and measures the oxyhemoglobin saturation in the brain tissue, and the TCD support is used for supporting the brain. The TCD supports are arranged on the head band and located on the two sides of the head, TCD probes are arranged on the TCD supports and used for monitoring changes of cerebral blood flow, fixing holes are formed in the plate faces of the mounting supports, the fixing holes and the first adjusting holes are arranged up and down, the fixing holes are located above the first adjusting holes, and the two ends of the fixing band penetrate through the fixing holes in the two corresponding mounting supports to be fixed. Velcro tapes are arranged at the two ends of the fixing end, so that the brain oxygen probe, the electroencephalogram electrode and the TCD probe can be tightly attached to the head position, the accuracy of the monitoring result is improved, the fixing belt is fixed through the Velcro tapes, and the monitoring head frame can be adjusted according to different head shapes of different users.

The present invention provides a method, device and system for traceability analysis of electroencephalogram signals collected by a robotic arm. The method includes: obtaining coordinate information of each electroencephalogram electrode in a first coordinate system; obtaining first coordinate information of each electroencephalogram electrode in a second coordinate system according to the coordinate information of each electroencephalogram electrode in the first coordinate system and the coordinate transformation relationship between the first coordinate system and the second coordinate system; calibrating the first coordinate information of each electroencephalogram electrode in the second coordinate system according to a calibration matrix to obtain second coordinate information of each electroencephalogram electrode in the second coordinate system; collecting electroencephalogram signals through each electroencephalogram electrode; and performing traceability analysis according to the second coordinate information of each electroencephalogram electrode in the second coordinate system and the electroencephalogram signals. The method, device and system for traceability analysis of electroencephalogram signals collected by a robotic arm provided by the embodiments of the present invention improve the accuracy of traceability analysis.

The present invention relates to techniques for detection of depression cues in EEG signals using power spectral density-based features for deep learning. In an embodiment, a system for detecting depression in a person may comprise an Electroencephalogram (EEG) electrode array attached to the person, the EEG electrode array comprising at least ten electrodes adapted to read EEG signals, an amplifier, a filter, and an Analog to Digital Convert to digitize the read EEG signals, and computing circuitry comprising a processor, memory accessible by the processor, and computer program instructions stored in the memory and executable by the processor to perform: processing on the digitized read EEG signals to detect signal patterns indicative of depression in the person, and outputting a prediction indicating a likelihood of depression in the person based on the deep learning processing.

The invention provides an electroencephalogram collecting system which comprises a plurality of electroencephalogram electrodes connected to the brain of a living body to detect electroencephalogram signals. The acquisition module is correspondingly connected with the electroencephalogram electrodes so as to acquire electroencephalogram signals and preprocess the electroencephalogram signals; the acquisition module comprises at least one electroencephalogram acquisition sub-module, and the electroencephalogram acquisition sub-module is integrated with an amplifier, a multiplexer and an analog-to-digital converter; the main control module is used for carrying out secondary processing on the electroencephalogram signals and comprises a logic control unit and a processing unit; the logic control unit is connected with the acquisition module; and the processing unit is connected with a management terminal so as to configure parameters of the logic control unit and send the electroencephalogram signals subjected to secondary processing to the management terminal. According to the electroencephalogram acquisition system, the acquisition module and the main control module are integrated, so that electroencephalogram acquisition can be realized without a sickbed, and the portability and the flexibility of the electroencephalogram acquisition system are improved.

The invention provides a high-density electroencephalogram electrode array and a preparation method and application thereof. The high-density electroencephalogram electrode array comprises a dielectric flexible substrate; the flexible electrode array is distributed on the surface of one side of the dielectric substrate layer, the flexible electrode array comprises a vertical carbon nanotube array and a carbon layer which are arranged in a stacked mode in the direction away from the dielectric substrate layer, and metal nanowires are distributed in array unit gaps of the vertical carbon nanotube array; and the hydrogel layer is positioned on the outer surface of the flexible electrode array. According to the high-density electroencephalogram electrode array, through multi-aspect collaborative design, on the premise that low interface impedance and high signal fidelity are maintained, the problems that traditional electroencephalogram equipment is insufficient in spatial resolution and poor in wearing comfort are solved, the electrode density and the quality of collected high-density electroencephalogram signals are improved, and the high-density electroencephalogram electrode array is suitable for popularization and application. The method provides a hardware basis for neural activity analysis, and has subversive potential in the field of high-performance brain-computer interfaces.

The invention provides an electroencephalogram and photoacoustic imaging combined detection device, and relates to the technical field of medical information detection. The joint detection device comprises a conductive composite layer suitable for releasing conductive gel in a state of being in contact with skin; the electroencephalogram electrode is embedded in the conductive composite layer and is suitable for transmitting an electroencephalogram signal to an external signal acquisition device when the conductive composite layer is in contact with the skin; the light-induced ultrasonic transmitter is embedded in one end of the conductive composite layer and is constructed to be capable of converting light energy into ultrasonic energy so as to send out an ultrasonic signal and detect nerves and blood vessels under the skin; and the photoinduced ultrasonic receiver is embedded at the other end of the conductive composite layer and is suitable for receiving the ultrasonic signal reflected by the nerve blood vessel and obtaining the spatial information of the nerve blood vessel by using the reflected ultrasonic signal, so that the spatial information of the nerve blood vessel is associated with the electroencephalogram signal, and an electroencephalogram with a target temporal-spatial resolution is obtained.

The invention is suitable for the technical field of action recognition, and provides an action recognition method, device and equipment based on electroencephalogram signals and a medium, the method comprises the steps that data preprocessing is conducted on original electroencephalogram signals, and initial time domain signals are obtained; performing data enhancement on the initial time domain signal through a generative adversarial network to obtain a target time domain signal; segmenting the target time domain signal by an electroencephalogram electrode channel to obtain segmented data, and performing short-time Fourier transform on the segmented data to obtain a target time-frequency domain signal corresponding to the target time domain signal; respectively carrying out feature extraction processing on the target time domain signal and the target time-frequency domain signal to obtain a time domain action feature corresponding to the target time domain signal and a time-frequency domain action feature corresponding to the target time-frequency domain signal, and carrying out feature fusion on the time-frequency domain action feature and the time domain action feature to obtain a target time domain action feature and a target time-frequency domain action feature; fusion features are obtained; and recognizing an action corresponding to the electroencephalogram time domain signal according to the fusion feature.

The invention discloses an electroencephalogram electrode, an electroencephalogram phase-locked acquisition module and an electroencephalogram acquisition system and method.The electroencephalogram electrode sequentially comprises an ion dielectric layer, an ion regulation and control transistor, a substrate and an extraction electrode which are connected with one another. According to the method, interference noise can be greatly weakened, lower electroencephalogram signal changes can be detected, higher common-mode rejection performance is achieved in the transmission process, electroencephalogram changes can be detected more meticulously, the density of whole-brain detection points can be encrypted by the system, and the spatial resolution of electroencephalogram signals is increased.

The utility model relates to the technical field of medical instruments, in particular to an electroencephalogram electrode fluid infusion device. The device comprises a flexible liquid storage pipe, a liquid outlet pipe, a control assembly and an adjusting assembly, the control assembly comprises a ball seat fixed to the liquid outlet end of the liquid outlet pipe, a ball valve movably embedded in the ball seat, a tightening latch movably arranged in the liquid outlet pipe in a penetrating mode, a connecting seat with one end fixed to the bottom of the tightening latch and the other end abutting against the upper portion of the ball valve, and a cleaning sub-assembly arranged below the liquid outlet pipe, wherein the top of the cleaning sub-assembly is fixed to the lower portion of the ball valve. The cleaning sub-assembly comprises a first connecting rod penetrating through the lower wall face of the ball seat and fixed to the lower portion of the ball valve, second connecting rods symmetrically fixed to the two sides of the lower portion of the connecting rod, mounting rings fixedly arranged at the outer ends of the two second connecting rods in a sleeving mode and water absorption pads detachably connected to the bottoms of the mounting rings in a sleeving mode. The outer wall of the control assembly abuts against the inner wall of the liquid outlet pipe, and the inner wall of the control assembly abuts against the tightening latch. According to the device, redundant paste dripping onto the scalp of a patient can be cleaned, and the discomfort of the patient is reduced.

Provided herein are devices, systems, and methods for non-invasive assessment of synaptic dysfunction in a patient with Alzheimer's disease. Transcranial magnetic stimulation (TMS) is applied to at least one brain region of the patient. A plurality of TMS-evoked potentials generated in response to the TMS applied to the at least one brain region of the patient are recorded with a plurality of electroencephalogram (EEG) electrodes. At least one characteristic of the plurality of TMS-evoked potentials is analyzed to assess synaptic dysfunction of the patient. An indication of the synaptic dysfunction assessment of the patient is output.

The utility model discloses an electroencephalogram electrode protection fixing cap, which relates to the technical field of electroencephalogram auxiliary equipment, and comprises a fixing cap main body, the lower surface of the fixing cap main body is fixedly connected with an elastic band, an electrode slice assembly is arranged in the fixing cap main body, and an electric plug is arranged on the upper surface of the fixing cap main body. The electric plug comprises a fixed plug fixedly connected to the upper surface of the fixing cap body, a metal needle is fixedly connected to the interior of the fixed plug, and limiting plates are fixedly connected to the positions, located on the two sides of the metal needle, of the interior of the fixed plug. According to the utility model, the electrode slice assembly, the fixed slice, the spring and the movable column are matched, the electrode soft slice can be in better contact with the head through extrusion of the spring, and the electric plug, the fixed plug, the movable plug, the limiting groove and the metal needle are matched, so that the connecting wire and the fixing cap can be separately placed; different requirements are met by selecting different electric slots according to requirements.

Embodiments of a system for controlling an object using brainwaves are disclosed. The system includes a set of EEG electrodes configured to be positioned on a head of a user and to collect EEG signals. The system further includes one or more computer readable storage mediums storing a framework configured to execute an extensible architecture through which EEG signals are interpreted for control of the object. The framework includes an EEG device plugin associated with the set of EEG electrodes and configured to extract the EEG signals from the set of EEG electrodes. The framework also includes an interpreter plugin configured to convert the EEG signals extracted by the EEG device plugin into a command. Further, the framework includes an object control plugin configured to access the command through an extension point of the interpreter plugin and to execute the command to control the object.

The utility model provides an electroencephalogram amplifier with a host module convenient to replace, which belongs to the technical field of signal processing equipment and comprises an electroencephalogram amplifier base and a host module which are independently arranged. The electroencephalogram amplifier base is provided with an electroencephalogram electrode and a dry electrode which are used for collecting human body electroencephalogram signals and uploading the human body electroencephalogram signals to the host module; a first magnet, a second magnet, a connector plug and a connector socket are arranged in the electroencephalogram amplifier base and the host module, so that stable electric connection and mechanical connection are formed between the host module and the electroencephalogram amplifier base. The electroencephalogram amplifier base and the host module are modularly designed, so that the host module can be independently replaced, the maintenance cost and the time cost are reduced, a user can replace host modules with different configurations according to needs so as to adapt to different research or clinical requirements, and the whole equipment can be replaced by replacing the host module instead of replacing the whole equipment. And the service life of the base and other parts is prolonged, and the use value of the equipment is improved.

The invention provides a traditional Chinese medicine head acupoint electroencephalogram cap detection and stimulation system, device and method, and the system comprises a positioning module which comprises a head acupoint positioning module, the head acupoint positioning module comprises a plurality of acupoint reference units, and the acupoint reference units correspond to a head acupoint map; the stimulation module is configured to apply head acupoint stimulation to the target acupoint; the signal acquisition module comprises a head acupoint signal acquisition module, the head acupoint signal acquisition module comprises a plurality of first electroencephalogram electrodes, the arrangement positions of the first electroencephalogram electrodes correspond to the head acupoints, and the first electroencephalogram electrodes are configured to acquire electroencephalogram signals of a user; and the control module is in communication connection with the positioning module, the stimulation module and the signal acquisition module. And the acupoint reference unit is aligned with the acupoints of the head, so that global positioning can be quickly completed.

Systems and methods for transmitting brainwaves or control signals via body communication from the brain to the ends of the body to control or activate body parts or even external devices. An EEG coupler / transceiver couples to a person's scalp, comprising an EEG electrode for receiving a brainwave from the person, an EEG body communication coupler, and an EEG antenna for transmitting a signal via the EEG body communication coupler. An activator coupler / transceiver couples to the person's body to stimulate a muscle, comprising a muscle activator, an activator body communication coupler, and an activator antenna for receiving the signal via the activator body communication coupler.

The application relates to the technical field of biology, and particularly discloses a flexible implantable electroencephalogram electrode, a smart strain material can dynamically adjust the hardness through electric signal instructions, a stress sensor is matched to monitor rigidity data in real time, the hardness is increased during implantation to avoid flexural deformation, the flexible implantable electroencephalogram electrode can accurately reach a deep target brain area, the hardness is reduced after implantation to adapt to the mechanical properties of brain tissue, inflammation and immune responses caused by long-term compression are reduced, implantation accuracy and biocompatibility can be considered; a signal processing module performs feature correlation analysis on real-time rigidity data and a multimodal original data set, so that the monitoring result not only contains physiological signal information, but also fuses the adaptation state data of the electrode and brain tissue, signal interference caused by unsuitable electrode rigidity is eliminated, and the accuracy and reliability of multi-dimensional physiological state evaluation of the target brain area are improved; in this way, multi-dimensional acquisition and fusion are realized, dynamic adaptation and accurate implantation can be realized, and data correlation and evaluation accuracy are improved.

The application provides a combined electroencephalogram electrode piece, and relates to the technical field of electroencephalogram electrode pieces, which comprises a head top sleeve, the bottom of the head top sleeve is fixed with an elastic band, the outer wall of the head top sleeve is movably installed with a second sleeve rod, the bottom end of the second sleeve rod is movably sleeved with a second telescopic rod, the bottom end of the second telescopic rod is fixed with a connecting block near one side of the middle part of the head top sleeve, and the outer wall of the bottom end of the second sleeve rod is penetrated and threadedly connected with a limiting bolt. The device drives the threaded rod to rotate through the control of a servo motor, so that the threaded sleeve block moves up and down on the outer wall of the threaded rod, drives the first telescopic rod to stretch and shrink in the first sleeve rod, simultaneously changes the angle of the first sleeve rod, drives the second sleeve rod to rotate outside the head top sleeve, changes the position of the bottom end of the second telescopic rod at the bottom, further changes the position of the connecting block, and makes the connecting block fit the head of a person to be detected, so that the effect that the device is suitable for people with various head sizes is achieved.

The utility model discloses a hand rehabilitation training system which comprises a brain wave collecting assembly and an action executing assembly, the action executing assembly is used for controlling a hand to execute corresponding actions, the brain wave collecting assembly comprises an air bag head sleeve, a first air nozzle is arranged on the air bag head sleeve, and a plurality of brain electrodes are arranged on the inner wall of the air bag head sleeve; the brain electrode is electrically connected with an electroencephalogram decoding module arranged on the air bag head sleeve, and the electroencephalogram decoding module is electrically connected with the action executing component. The brain wave collecting device has the advantages that the adaptability to patients with different head circumferences is improved, and the brain wave collecting sufficiency is improved.

The invention discloses a state detection method and device based on electroencephalogram signals, electronic equipment and a storage medium. The method comprises the following steps: in response to a signal acquisition request, determining a first signal acquired by an electroencephalogram electrode; performing spectrum feature extraction and spectrum feature splicing on the first signal to obtain a first image; and classifying the first signal through a first model according to the first image to obtain a first classification result. According to the method, the frequency spectrum feature extraction and the frequency spectrum feature splicing are performed on the first signal, so that the obtained first image can better describe the frequency feature change of the first signal, the sleep type to which the first signal belongs is classified through the first model according to the first image, and the accuracy of sleep classification can be improved.

The application relates to the technical field of electroencephalogram signal collection, and discloses a manufacturing method of a semi-dry electrode, a semi-dry electrode and an electroencephalogram signal collection system. The manufacturing method comprises the following steps: pouring a preset amount of liquid gel into a pouring cavity of a pouring mold; the surface of a support is adapted to conduct electricity, and the support is provided with a contact part; inserting the contact part into the pouring cavity to wait for the gel to solidify, and a gap exists between the inner wall of the pouring cavity and the contact part; after the liquid gel is solidified, the solid gel adheres to the contact part to form an electroencephalogram electrode; when the electroencephalogram electrode is in close contact with the scalp, the surface of the scalp and the electroencephalogram electrode are in an electrically connected state. In actual application, the solidified gel can directly pass through the hair and be in close contact with the scalp, so that good electrical contact is formed between the surface of the scalp and the electroencephalogram electrode, and the accuracy of signal transmission is ensured. Therefore, the problem of short circuit between electrode points is avoided.

The invention discloses a knee joint orthopedic rehabilitation brain-computer interface exoskeleton power-assisted control method and system, and relates to the technical field of knee joint rehabilitation. The method comprises the following steps: based on an electroencephalogram electrode cap and a knee joint angle sensor, analyzing a corresponding relation between an electroencephalogram main peak and a joint action, combining plantar pressure change, screening gait characteristics, judging an intention signal and an action trend, proofreading exoskeleton execution, and obtaining a closed-loop action offset index. According to multi-dimensional trend analysis of the action execution process, electroencephalogram intention judgment is dynamically associated with the knee joint action process, intention signals and action state changes are comprehensively analyzed through trend synchronous judgment and continuous behavior cooperation, and layer-by-layer linkage of intentions, behaviors and the execution process is achieved; the control output has real-time adaptation and compliant coordination ability, the training stage can adapt to multi-source signal changes, the false triggering probability is effectively reduced, the action continuity is guaranteed, and the man-machine coordination consistency and the rehabilitation training safety guarantee ability are improved.

The invention provides a brain wave electrode cap disinfection treatment device, and relates to the technical field of electrode cap disinfection, the brain wave electrode cap disinfection treatment device comprises a shell, the top in the shell is provided with a transmission belt, one side of the top of the shell is provided with a driving chamber, the driving chamber is internally provided with a motor, and the motor is used for driving the transmission belt; a disinfectant spraying frame is arranged on the periphery of the side, close to the driving chamber, of the transmission belt, a flushing frame is arranged on the periphery of the side, away from the driving chamber, of the disinfectant spraying frame, and a drying frame is arranged on the periphery of the side, away from the driving chamber, of the disinfectant spraying frame. By arranging the structure and arranging a matching structure of the opening plate and the adjusting block, stable opening and fixing of an electrode cap are achieved, a stable supporting foundation is provided for follow-up disinfection treatment, in the disinfection link, the disinfectant spraying frame sprays the electrode cap from different angles through the multiple sets of spraying heads, and the disinfection efficiency is improved. It is ensured that disinfectant can uniformly cover the inner surface and the outer surface of the electrode cap, the disinfection effect is improved, and the residual disinfectant is effectively removed through the multi-direction flushing design of the flushing frame.

The present application relates to the technical field of health care informatics, in particular to a system for predicting depression of teenagers, comprising an acoustic characteristic representation module, including a co-integrated ultrasonic transducer array and electroencephalogram electrode, an electrode substrate embedded with an acoustic impedance sensor, and a temperature-sensitive acoustic coupling adhesive layer on the surface of the electrode substrate; a multi-layer medium acoustic modeling module: used for establishing an accurate head tissue acoustic transmission model according to individual anatomical structure characteristics, for quantifying the frequency dispersion effect generated when the electroencephalogram signal propagates in different tissue layers, etc.; solving the problem that in the prior art, due to the change of the myelin sheath thickness of teenagers, the tissue-specific dispersion has a systematic influence on the functional connection network, resulting in that the depression-related network abnormalities and the development-related transmission changes cannot be distinguished.

The application discloses a front-end probe for an electroencephalogram electrode and the electroencephalogram electrode and belongs to the technical field of electroencephalogram. The front-end probe comprises a barrier layer, a liquid absorption layer, a conductive layer and an interface layer; the barrier layer is formed with a containing cavity, the liquid absorption layer, the conductive layer and the interface layer are arranged in the containing cavity, the liquid absorption layer, the conductive layer and the interface layer are sequentially arranged along the direction from the outer wall to the inner wall of the barrier layer, the liquid absorption layer covers at least part of the conductive layer, the conductive layer covers at least part of the interface layer, and the interface layer is used for connecting an elastic supporting rod of the electroencephalogram electrode; along a first direction, the barrier layer has opposite top and bottom parts, the top part is provided with a through hole used for penetrating the elastic supporting rod, the bottom part is a closed structure, the side part of the barrier layer is provided with an opening, the opening is opposite to at least part of the position of the liquid absorption layer, and the side part of the barrier layer is a part between the top part and the bottom part of the barrier layer.

The application discloses a kind of electroencephalogram processing method, device and brain electrode cap, it is related to brain-computer interface technical field, main purpose is to solve the problem of existing electroencephalogram processing efficiency is poor, inaccurate.Method includes: when the pressure value between electrode piece and detection site is determined by force feedback sensor matches preset pressure threshold value, the electroencephalogram of detection site is collected by electrode piece, force feedback sensor is used to drive motor in detection body and pneumatic push rod adjusts the contact angle and contact intensity between electrode piece and detection site when pressure value does not match preset pressure threshold value;Residual brain electrical component of electroencephalogram is extracted based on deep residual shrinkage network model, and the main component of electroencephalogram is reconstructed with feature information;The multi-channel electroencephalogram of reconstructed electroencephalogram is uniformly scaled and decomposed, and sub-band features are obtained, and view feature processing is carried out based on sub-band features, and a plurality of view feature sets are obtained.

The utility model relates to the field of electroencephalogram electrode caps, in particular to a newborn electroencephalogram electrode cap, which is provided with a structure that an upward lifting electrode plate and a fixing cap are connected together, and can prevent slipping. A plurality of cylindrical fixing caps with lower openings are fixedly arranged on the head sleeve, first round holes are formed in the tops of the fixing caps, side openings allowing disc-shaped electrodes to be inserted are formed in the fixing caps, inserting grooves matched with the electrodes in an inserted mode are embedded in the side openings and the inner surfaces of the fixing caps, connecting pieces are arranged on the outer sides of the electrodes, and the outer ends of the connecting pieces are connected with lines. The connecting piece is sleeved with a handle, a second round hole is formed in the center of the electrode, and a fixing structure for lifting the electrode upwards penetrates through the second round hole and the first round hole from bottom to top. The device is easy to operate, convenient to use and suitable for various patients.

The invention relates to the technical field of medical care informatics, in particular to a teenager depression prediction system. Comprising an acoustic characteristic characterization module, the acoustic characteristic characterization module comprises an ultrasonic transducer array and electroencephalogram electrode co-integration, an acoustic impedance sensor is embedded in an electrode substrate, and a temperature-sensitive acoustic coupling adhesive layer is arranged on the surface of the electrode substrate; the multi-layer medium acoustic modeling module is used for establishing an accurate skull tissue acoustic transmission model according to the characteristics of an individual anatomical structure, and is used for quantifying the frequency dispersion effect and the like generated when the electroencephalogram signals are transmitted in different tissue layers; the problem that depression-related network abnormity and development-related transmission change cannot be distinguished due to systematic influence of tissue-specific dispersion on a functional connection network due to teenager myelin sheath thickness change in the prior art is solved.