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1.
公开(公告)号:US20240138727A1
公开(公告)日:2024-05-02
申请号:US18399430
申请日:2023-12-28
Inventor: Han CUI , Guanglin LI
IPC: A61B5/1455 , A61B5/00
CPC classification number: A61B5/14552 , A61B5/4519 , A61B5/4836 , A61B5/4848 , A61B5/7275 , A61B5/7282
Abstract: The present application is applicable to the technical field of muscle oxygen saturation detection, and provides a muscle oxygen saturation detection method, and a muscle oxygen saturation recovery method and system. The muscle oxygen saturation detection method is applied to a muscle oxygen saturation detection device. The present application combines pulse electrical stimulation for relieving the muscle fatigue and improving the muscle activity function with muscle oxygen saturation detection, and automatically triggers the turning-on and turning-off of electrical stimulation with the muscle oxygen saturation detection data of a wearer to form a closed-loop muscle function detection and stimulation system with feedback.
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公开(公告)号:US20210217419A1
公开(公告)日:2021-07-15
申请号:US16960496
申请日:2019-12-31
Inventor: Shixiong CHEN , Mingxing ZHU , Xiaochen WANG , Guanglin LI , Zijian YANG , Xin WANG
Abstract: The present application discloses a lip-language recognition AAC system based on surface electromyography, which includes: a training subsystem configured to collect the facial and neck EMG signals during lip-language movements through the high-density electrode array, improve the signal quality through the signal preprocessing algorithm, classify the lip-language movements through the classification algorithm, select the optimal number of electrodes and optimal positions through the channel selection algorithm, and establish the optimal matching template between the EMG signals and the lip-language information, and upload it to the network terminal for storage; and a detection subsystem configured to collect the EMG signals at the optimal positions during the lip-language movements based on the optimal number and positions of electrodes selected by the training subsystem, call the optimal matching template, classify and decode the EMG signals, recognize the lip-language information, and convert it into corresponding voice and picture information for display in real time.
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3.
公开(公告)号:US20210128049A1
公开(公告)日:2021-05-06
申请号:US16927948
申请日:2020-07-13
Applicant: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY
Inventor: Shixiong CHEN , Mingxing ZHU , Guanglin LI , Zijian YANG , Jiashuo ZHUANG , Xiaochen WANG , Xin WANG
Abstract: A pronunciation function evaluation system based on array high-density surface electromyography, this system includes a host computer and a slave computer, the slave computer is configured to obtain faciocervical electromyography signal through electromyography electrode arrays in a pronunciation process and to transmit the faciocervical electromyography signals to the host computer; the host computer is configured to analyze a physiological relevance between faciocervical array high-density electromyography signal features change and pronunciation function in the pronunciation process, to establish a three-dimensional dynamic energy distribution diagram of faciocervical muscular movement in the pronunciation process, to obtain dynamic visual temporal and spatial characteristic of articulatory muscles related to pronunciation, to extract electromyography features, to establish a faciocervical electromyography feature distribution standard database with normal pronunciation function, and to analyze a dysfunction condition and a damage degree of the pronunciation muscle group using a template matching and differentiation analysis algorithm.
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