公开(公告)号：US20240138727A1

公开(公告)日：2024-05-02

申请号：US18399430

申请日：2023-12-28

Applicant: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY CHINESE ACADEMY OF SCIENCES

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.

公开(公告)号：US20210217419A1

公开(公告)日：2021-07-15

申请号：US16960496

申请日：2019-12-31

Applicant: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY CHINESE ACADEMY OF SCIENCES

Inventor： Shixiong CHEN ,  Mingxing ZHU ,  Xiaochen WANG ,  Guanglin LI ,  Zijian YANG ,  Xin WANG

IPC: G10L15/25 ,  G10L15/00 ,  G10L25/51 ,  G06F3/01

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.