Objective To develop a patient motion detection system based on wireless Iriaxial accelerometer. The motion information detected was used to design a rehabilitation training framework based on wireless triaxial accelerometer by which patient could conduct correct voluntary rehabilitation training without the supervision of doctor. Methods A wearable unit which integrated the triaxial accelerometer, microprocessor and RF chip acquired the human motion acceleration signal. A base station received wireless signal and transmitted it to PC via RS232 protocol for advanced data processing. The PC performed noise reduction and extracted the time-domain features from the signal. Results The wearable unit was small and comfortable to wear for patients and the wireless signal could cover the whole ward. The impulse noises could be reduced via the designed technique. The control design could perform accurate human -computer interaction. Conclusion The wireless sensor can detect patients' motion under low load with non-video technology. The motion information captured canrnbe used in various clinical fields.%目的:为了实时获取患者的运动生理信号,设计基于无线三轴加速度传感器的人体运动信息检测系统,并初步将运动信息用于简单的单自由度人机交互,可用于患者的自主康复训练.方法:通过给患者穿戴嵌有三轴加速度传感器的节点,节点集成有射频芯片和低功耗单片机,可以实时采集患者的运动加速度信息.无线基站负责接受无线信号,再将信号通过RS232串口协议发送到计算机进行更复杂的数据处理.计算机对信号进行去噪预处理,并提取时域特征量进行非常规的人机交互,结果:该系统的节点设计轻巧,穿戴舒适,成功地采集帕金森患者行走运动加速度信号并且信号的有效传输距离可以覆盖整个病房.信号去噪处理能够有效抑制各类噪声干扰,交互控制设计能够很好地识别头部运动方向,进行正确的人机交互控制.结论:无线传感器能够在低负荷,非视频下检测患者的运动信息,而其捕获的运动信息可广泛运用于各种临床领域.
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