Method and device for detecting motion state

A technology of motion state and detection method, applied in diagnostic recording/measurement, biometric identification mode based on physiological signals, instruments, etc., which can solve the problems of weak body EMG motion information and difficult signal collection

Active Publication Date: 2021-04-09
苏州佰睿昕智能科技有限公司
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  • Abstract
  • Description
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AI Technical Summary

Problems solved by technology

[0003] In recent years, great progress has been made in identifying the state of motion based on the body's myoelectric signal or motion information. The information is very weak, and the signal is extremely difficult to collect

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  • Method and device for detecting motion state
  • Method and device for detecting motion state
  • Method and device for detecting motion state

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Embodiment Construction

[0051] In order to understand the characteristics and technical contents of the embodiments of the present invention in more detail, the implementation of the embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings. The attached drawings are only for reference and description, and are not intended to limit the embodiments of the present invention.

[0052] Compared with identifying the motion state based on the body's myoelectric signal or motion information, the recognition of the motion state based on brain information has obvious advantages. The brain information collection technologies for the exercise state mainly include electroencephalography (EEG, Electroencephalogram) and near-infrared spectral brain functional imaging (fNIRS, functional Near Infrared Spectroscopy). Among them, EEG technology has extremely high requirements for the test environment, and the test requires visual stimulation or high-intensity t...

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Abstract

The invention discloses a motion state detection method and device, comprising: detecting the brain hemoglobin data of the tested object through N test channels during the process of the tested object performing a motion task; the brain hemoglobin data of each test channel , decomposing the brain hemoglobin data into M sub-frequency bands, where M is a positive integer; for the brain hemoglobin data of each sub-channel of each test channel, the brain hemoglobin data is reconstructed to obtain corresponding time series signals, and calculate The rate of change of the time-series signal is used as the data to be processed; the data is quantified, and the quantification result of the brain hemoglobin data is calculated, and the corresponding feature vector of each sub-channel of each test channel is determined based on the quantification result ; Integrate the eigenvectors with intersection in the spatial distribution under each sub-frequency band, and determine the eigenvector corresponding to the optimal recognition rate.

Description

technical field [0001] The invention relates to motion detection technology, in particular to a motion state detection method and device based on brain hemoglobin information. Background technique [0002] The population aging problem is a prominent problem in today's society. The aging problem has led to a significant decline in the body motor function of the elderly, especially the walking ability of the lower limbs. Similarly, patients with spinal cord injury (SCI, Spinal Cord Injury) often have limb sensory and motor dysfunction. In addition, traffic accidents, industrial injuries, accidental injuries, and other diseases have led to an increasing number of patients with motor dysfunction in the lower limbs. All of the above patients need timely rehabilitation training. Moreover, studies have shown that in the process of rehabilitation training for patients, active participation awareness has a more obvious rehabilitation effect than passive training. Therefore, it is ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/1455A61B5/11G06K9/00
CPCA61B5/11A61B5/1118A61B5/14553A61B5/6803A61B5/7253G06V40/10G06V40/15
Inventor 李春光金鹤殿曲巍胡海燕
Owner 苏州佰睿昕智能科技有限公司
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