17 results about "Portable electroencephalogram" patented technology

The invention discloses a real-time self-adaptive electroencephalogram artifact suppression and enhancement embedded system. The system aims at overcoming the limitation of an existing portable EEG device in the aspect of artifact processing, various artifacts in EEG signals are recognized and removed in a low-power-consumption, high-precision and real-time mode, and meanwhile the quality of effective EEG signals is optimized and enhanced. One key innovation of the invention lies in breaking through the limitation of single EEG signal processing, and accurate separation and correction of artifacts are carried out through the assistance of EOG and EMG. For example, the EOG signal is used for assisting eye movement artifact removal through synchronous correlation analysis and an adaptive regression filter; the EMG signal is used for assisting myoelectricity artifact correction, and suppression is carried out through spectral analysis and dynamic adjustment of filter parameters. In addition, the system also has the functions of real-time detection and repair of electrode artifacts. According to the system, high-quality EEG signals close to offline processing are provided on portable embedded equipment with limited resources, and the system has universality and high-precision application potential and can be widely applied to a plurality of frontier fields such as medical diagnosis, brain-computer interface (BCI), cognitive ability enhancement, neurological rehabilitation training, sleep disorder monitoring and human-computer interaction.

The invention discloses a portable electroencephalogram sleep detection and analysis system and method. The portable electroencephalogram sleep detection and analysis system comprises an in-ear electroencephalogram acquisition unit which is used for acquiring differential EEG signals in ear canals and converting the signals into digital data streams for transmission; the data processing and calculating unit is used for carrying out preprocessing operation on the digital data flow transmitted by the in-ear electroencephalogram acquisition unit; and the sleep staging unit is used for inputting the preprocessed data into an event-driven time sequence classification model, and the model reads a signal sequence in a sliding window mode, completes judgment and classification of sleep stages and generates a corresponding sleep quality evaluation report. According to the invention, the calculation amount is reduced by using the snn with low power consumption, so that the staging system is integrated into the embedded platform, meanwhile, the problem of poor staging effect of wearable sleep monitoring equipment is solved, and the intelligent sleep staging system is high in portability, simple and convenient to use, high in integration and relatively low in cost.

The application particularly relates to a multi-channel portable electroencephalogram (EEG) acquisition device based on FPGA, which comprises a plurality of EEG electrodes, an analog acquisition front end, a digital processing back end based on FPGA and ARM, and a host computer. The analog acquisition front end adopts a multi-channel integrated EEG front end chip to perform amplification, conditioning and analog-to-digital conversion on a plurality of analog EEG signals in parallel, and transmit the digital signals to the digital processing back end through an SPI bus. The digital processing back end comprises an FPGA processing unit and an ARM processing unit, the FPGA internally realizes adaptive notch filtering, FIR low-pass filtering and baseline correction in a parallel pipeline structure, and performs real-time parallel processing on the multi-channel EEG signals; the ARM unit configures parameters through an AXI-Lite bus, and utilizes a DMA mechanism to high-speed carry data to the host computer. The analog domain and the digital domain are partitioned and laid out, independently powered and single-point common-grounded, thereby effectively suppressing digital noise coupling.

The invention relates to the technical field of biomedical signal acquisition, and discloses a portable electroencephalogram acquisition system, which comprises an inertia sensing unit, a signal processing unit, a signal processing unit, a signal processing unit and a signal processing unit, and is characterized in that the inertia sensing unit is used for monitoring head movement data and outputting interruption when detecting a movement event; the main control module responds to the interruption to calculate an instantaneous motion intensity index, triggers an impedance monitoring mechanism when the index exceeds a threshold value, and controls the analog front-end module to inject alternating current test current; and the main control module calculates an equivalent impedance module value according to the collected mixed signal, and judges whether the interference type is friction interference or contact failure in combination with a motion index. And the master control module sends an instruction to control the analog front end to execute hardware strategies such as right leg driving gain adjustment or input channel transient short-circuit protection. According to the invention, through a multi-dimensional physical quantity joint judgment and hierarchical hardware anti-interference mechanism, source suppression of noise of different causes is realized, saturation of the amplifier is prevented, and the signal stability of the portable equipment in a motion state is improved.

The invention relates to an electroencephalogram acquisition system supporting visual monitoring and real-time brain control interaction. The electroencephalogram acquisition system is used for overcoming the defects in the prior art in the aspects of high-quality acquisition, real-time processing, data visualization, external interaction control and the like of electroencephalogram signals. According to an acquisition module of the system, 16-channel electroencephalogram signals are synchronously acquired through cascade connection of two ADS1299 chips, the chips are connected in a daisy chain and standard cascade connection combined mode, the number of digital signal interface lines is reduced, and independent configuration and synchronous control capacity of each chip are reserved. The micro-control module is realized by using an embedded program based on a FreeRTOS real-time operating system, communicates with the acquisition module, receives and caches electroencephalogram data, packages the electroencephalogram data and wirelessly sends the electroencephalogram data to the upper computer module. And the upper computer module carries out real-time analysis, reconstruction and visual display on the received electroencephalogram data. And the interaction control module extracts and identifies electroencephalogram characteristics based on analysis and reconstruction results of the upper computer module, and sends a control instruction to external equipment to realize closed-loop brain control interaction.

1. Name of the product in this design: Portable EEG-Near Infrared Synchronous Acquisition Device. 2. Purpose of this design: For use in medical research, neuroscience experiments and brain-computer interface applications, to simultaneously acquire electroencephalogram (EEG) and functional near-infrared spectroscopy (fNIRS) signals from the human brain. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

A new lower limb rehabilitation training system based on electroencephalogram acquisition device and application, including host computer, embedded controller, portable electroencephalogram acquisition device, pressure sensor connected with host computer respectively, and lower limb rehabilitation training module wirelessly connected with embedded controller, the pressure sensor is also connected with lower limb rehabilitation training module, and power module for supplying power to the whole system is also arranged, the host computer is used for processing the received electroencephalogram signal collected by the portable electroencephalogram acquisition device and the pressure signal collected by the pressure sensor of the lower limb rehabilitation training module respectively, and generating control signal, which is wirelessly transmitted to the lower limb rehabilitation training module through the embedded controller, the embedded controller also feeds back the position information of the lower limb of the user output by the lower limb rehabilitation training module to the host computer. The application can realize man-machine interaction well, can dynamically aggregate electroencephalogram signal channel information and extract time domain features at the same time.

The invention provides a portable electroencephalogram collecting device which comprises a collector and a charging bin, the collector comprises a main machine and a collecting part detachably matched with the main machine, the main machine comprises a machine shell, a first circuit board, a first connector and a third connector, and the collecting part comprises a flexible glue sticker, a second circuit board, a second connector and an electrode. The flexible glue patch is attached to the forehead of a user, the second circuit board is installed in the flexible glue patch, the electrode is installed at the bottom of the flexible glue patch and connected with the second circuit board, the second connector is installed at the top of the flexible glue patch and electrically connected with the second circuit board, and the second connector is matched with the first connector. The charging bin comprises a bin body and a third circuit board arranged in the bin body, a profiling groove matched with the collector is formed in the upper end face of the bin body, and a fourth connector matched with the third connector and electrically connected with the third circuit board is arranged in the profiling groove. The equipment is high in wearing comfort, convenient to use, small in overall size, convenient to disassemble and assemble, portable and high in functionality.

The invention discloses a mild cognitive impairment detection method based on a portable electroencephalogram, and belongs to the technical field of electroencephalogram data processing. Feature dimensions are increased, features highly related to cognitive impairment are obtained through a feature selection method of an interpretable mild cognitive impairment model, and further model construction is facilitated; according to the method, the detection model of the mild cognitive impairment, which can be applied to the community elderly people, is output through a work memory task, a feature selection method of a multi-dimensional feature based on an interpretable mild cognitive impairment model and an L1 regularization logistic regression construction model, and verification of external data and optimization of the model; the problems of electrode redundancy, subjective feature selection and insufficient resting state sensitivity of traditional EEG in community environment MCI detection are systematically solved.

Portable Electroencephalogram medical device

1. Name of the product in this design: Portable electroencephalogram (EEG) machine. 2. Purpose of this design: To collect electroencephalogram (EEG) signals from the occipital lobe of a user's brain via wireless transmission, thereby assisting doctors in assessing the patient's recovery status. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The invention discloses a field brain injury rapid diagnosis system based on electroencephalogram data, and relates to the technical field of electroencephalogram data analysis and diagnosis, and the field brain injury rapid diagnosis system comprises an external stimulation module which utilizes sound waves and limb muscle electric pulse stimulation to induce specific event-related potential and motor cortex activity rhythm and utilizes a data acquisition module to perform detection; the electroencephalogram data analysis module is used for carrying out multi-scale time window preprocessing and deep learning algorithm analysis; and the damage judgment module is used for judging the damage type and quantifying the damage degree. The system can depend on a portable electroencephalogram acquisition helmet, portable pulse stimulation equipment and a chip-level handheld terminal to realize a method from stimulation to detection to diagnosis, and the whole equipment is light and convenient, is suitable for being deployed in a field operation scene and can stably run in a complex environment.

A wearable autism spectrum disorder-related visual function screening system in a VR environment, comprising: a VR stimulus presentation module, which presents a designed visual surround suppression stimulus to a user by means of a wearable VR head-mounted display; an electroencephalogram acquisition and transmission module, which acquires the user's real-time electroencephalogram data by means of a portable electroencephalogram smart headband and transmits same wirelessly to the outside; and a data synchronization module, which synchronizes and aligns the time of the VR stimulus with a timing signal acquired by the electroencephalogram headband to facilitate subsequent data analysis and processing. In the wearable autism spectrum disorder-related screening system, a brain-computer interface and a brain signal decoding algorithm are introduced to achieve quantitative evaluation of visual surround suppression; compared with conventional screening methods that rely on subjective scales, the present invention has good objectivity.

The invention relates to the field of electroencephalogram data acquisition and processing, in particular to an electric power practitioner brain-computer interaction device channel screening method based on unsupervised clustering, which comprises the following steps: multi-channel electroencephalogram information acquisition in an electric power working scene, multi-channel electroencephalogram signal noise elimination and multi-band signal extraction. And performing multi-channel clustering to obtain a clustered multi-channel multi-band signal, calculating the distance between the multi-detected multi-channel multi-band signal and the category cluster, formulating a selection standard, and outputting channel data and positions. According to the channel screening method based on unsupervised clustering, effective electroencephalogram channels can be accurately screened in an electric power working scene: on one hand, the number of electroencephalogram device channels is reduced, and the electroencephalogram signal redundancy is reduced; on the other hand, technical and theoretical support is provided for designing portable electroencephalogram information acquisition equipment, so that the objectivity of an electric power system on practitioner psychological safety literacy evaluation is improved, and finally the working risk of the electric power industry is reduced.

The present application relates to the technical field of electroencephalogram acquisition equipment, and discloses a portable electroencephalogram acquisition equipment conversion device, which comprises a loading box, a handle fixed at one end of the loading box, a mounting plate arranged above the loading box, a connecting assembly arranged on the loading box and used for connecting the mounting plate, a conversion device arranged on one side of the mounting plate, an electroencephalogram acquisition equipment slidably connected in the conversion device, a protective shell arranged on the outer side of the conversion device and the electroencephalogram acquisition equipment, an installation groove arranged in the protective shell, a connecting gear rotatably connected in the installation groove, and a connecting rack slidably arranged in the installation groove and engaged with the connecting gear. The present application can help the conversion device and the electroencephalogram acquisition equipment to be quickly connected, so that information conversion work can be performed, the conversion device and the electroencephalogram acquisition equipment can be limited, the pressure of the male port and the female port can be reduced, and the connecting ports of the conversion device and the electroencephalogram acquisition equipment can be blocked and protected.

The embodiment of the invention provides a few-channel electroencephalogram emotion recognition method based on full-channel reconstruction and related equipment, and belongs to the technical field of electroencephalogram signal processing and artificial intelligence. The method comprises the steps that few-channel electroencephalogram signals are acquired, and a feature matrix is constructed; inputting the current sample into a signal reconstruction model which dynamically generates a whole brain function connection diagram adapted to the current sample through a sample adaptive connectivity sampler and generates low-dimensional compression features through a compression feature encoder; further, in a complete feature generator, combining the connection graph and the compression features, and utilizing a graph neural network to reconstruct a full-channel electroencephalogram feature matrix; and finally identifying the emotional state based on the reconstructed features. According to the method, the information bottleneck of few-channel equipment is broken through, global information loss is made up through generative reconstruction, the accuracy and robustness of emotion recognition are remarkably improved, and a core technology is provided for development of portable electroencephalogram equipment.

The utility model discloses a portable electroencephalogram collecting device which comprises a collecting module and a processing module, the collecting module is used for being connected with an electroencephalogram cap, and a first magnetic attraction piece is fixed to the collecting module; the processing module is detachably connected with the acquisition module, a second magnetic attraction piece which can be attracted to the first magnetic attraction piece is arranged on the processing module, and a limiting structure used for limiting the fixing positions of the processing module and the acquisition module is arranged between the processing module and the acquisition module. According to the electroencephalogram collecting device, the design of quick disassembly is adopted, the processing module can be quickly disassembled and assembled and can be matched with different collecting modules, and flexibility and portability are high.