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面向瘫痪肢体功能康复的无线多通道混合数据采集系统

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设计了一款无线多通道混合数据采集系统,包含硬件系统和PC数据采集及分析处理软件系统两部分.硬件系统根据目标需求,通过按键设置体表肌电(sEMG,surface electromyography)信号采集通道数和惯性测量单元(IMU,inertial measurement unit)数量,基于FreeRTOS操作系统创建sEMG信号传输任务和与IMU传感器数量对应的运动学数据采集任务,采用互斥信号量技术确保各任务获取的数据通过Wi-Fi传输给PC软件系统;PC软件系统实现对获取的混合信号实时显示、存储、处理分析等.相比于当下商用Trigno无线基础混合信号采集系统和其他自研系统,所设计的混合数据采集系统在瘫痪肢体运动功能康复领域更实用、具有更强的扩展性.
Wireless multichannel hybrid data acquisition system for functional rehabilitation of paralyzed limbs
A wireless multi-channel hybrid data acquisition system was presented,consisting of two distinct components:a hardware system and a PC data acquisition analysis and processing software system.The hardware system was set with the number of surface electromyography(sEMG)signal acquisition channels and the number of inertial measurement unit(IMU)according to the target requirements by pressing a key,and sEMG signal transmission tasks and kinematics data ac-quisition tasks corresponding to the number of IMUs were created based on the FreeRTOS operating system,and the mu-tually exclusive signal volume technique was used to ensure that the data acquired by each task were transmitted to the PC software system via Wi-Fi.The data acquisition tasks were created based on the FreeRTOS operating system,and the kinematics tasks corresponding to the number of IMU sensors were created,and the mutually exclusive signal volume technique was used to ensure that the data acquired by each task was transmitted to the PC software system via Wi-Fi.The designed hybrid data acquisition system is more practical and scalable in the field of motor function rehabilitation for paralyzed limbs compared to the current commercial Trigno wireless based mixed signal acquisition system and other self-developed systems.

hybrid data acquisitionsEMG signalIMU sensorwireless multichannelmuscle fatigue monitoring

罗志成、田宁、杨光、秦飞舟、鲍学亮

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宁夏大学电子与电气工程学院,宁夏 银川 750021

宁夏大学信息工程学院,宁夏 银川 750021

宁夏大学"东数西算"人工智能与信息安全重点实验室,宁夏 银川 750021

混合数据采集 肌电信号 IMU传感器 无线多通道 肌肉疲劳监测

国家自然科学青年基金项目宁夏回族自治区重点研发计划重点项目

620012582023BEG02030

2024

物联网学报
人民邮电出版社有限公司

物联网学报

ISSN:2096-3750
年,卷(期):2024.8(2)