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Development of wearable hardware platform to measure the ECG and EMG with IMU to detect motion artifacts

机译:可穿戴硬件平台的开发,用IMU测量ECG和EMG检测运动伪影

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Weareable biomedical devices make it possible to monitor physiological parameters of human beings where physical fitness is critical for their work. However, the motion artifacts corrupt the ambulatory measurements of electrophysiological parameters and it is necessary to detect and eliminate these motion artifacts. The long term measurement and analysis of health parameters require enormous data processing and storage resources on board. It is also challenging to perform sensor fusion of multiple devices and to manage multiple communication channels. This paper describes the development of a wearable hardware platform to measure electrocardiogram (ECG) and electromyogram (EMG) with an additional IMU sensor to detect the motion artifacts. Bringing all the sensors on single platform resolves the sensor fusion problems. The measurements are digitized and sent wirelessly through a bluetooth interface to a remote unit in real-time. Which is capable for the implementation of extensive processing and analysis algorithms to detect the motion artifacts and extract The features of ECG and EMG waveform structures.
机译:可携带可戴的生物医学设备可以监测人类的生理参数,其中物理健康对他们的工作至关重要。然而,运动伪影损坏了电生理参数的动态测量,有必要检测和消除这些运动伪影。健康参数的长期测量和分析需要船上的巨大数据处理和存储资源。执行多个设备的传感器融合并管理多个通信信道也是具有挑战性的。本文介绍了可穿戴硬件平台的开发,以使用额外的IMU传感器测量心电图(ECG)和电灰度(EMG)以检测运动伪影。将所有传感器带到单平台上解析了传感器融合问题。测量值被数字化,并在实时通过蓝牙接口无线发送到远程单元。这能够实现广泛的处理和分析算法以检测运动伪影并提取ECG和EMG波形结构的特征。

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