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Development of Portable Biofeedback Devices for Sport Applications

机译:体育应用便携式生物反馈设备的开发

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摘要

The purpose of this project is to propose a portableudlow cost of ECG and EMG devices that plays the role ofudcontinuous monitoring of the user heart rate and muscle activity. Recording and analysis of biological signal likeudElectrocardiography (ECG) and Electromyography (EMG) areudimportant in the field of healthcare and sports which enable to assess the physiological state and training progress of athlete. Heart rate can reflect individual natural fitness whereas the EMG signal indicates muscle activation and fatigue level thus determine the performance. However, most of the EMG and heart rate measuring tools are expensive and large in size. Theudprocess of data collection also often confined to hospital or biomechanics lab. Therefore, the development of this monitoring system capable provides immediate feedback about physiological data which is desired by athletes and trainers. The monitoring system is knitted with a pulse sensor and muscle sensor V3. Arduino Uno was act as microcontroller to analyze the collected signal then transmits the data via Bluetooth to Android based smartphone; Laptop through Processing software; or LCDudscreen. The significant of using Processing software is allow display the data in graphical way. The pulse sensor is applying photoplethsmography (PPG) technique to measure the heart rate in beats per minute (bpm). In other hand, the EMG signal will be collected by passive electrode which allows the monitoring of user muscle stress. Throughout the ECG experiment, the pulse sensor result collected via Coolterm application was compared to radialudpulse and Treadmill. The result showed that the error rate of the device is negligible and promising. While the EMG data produced by muscle sensor is achieving a full wave rectified waveform that demonstrates the forearm strength produced.
机译:该项目的目的是提出一种成本低廉的便携式ECG和EMG设备,该设备可以连续监测用户的心率和肌肉活动。诸如心电图(ECG)和肌电图(EMG)之类的生物信号的记录和分析在医疗保健和体育领域非常重要,因为它可以评估运动员的生理状态和训练进度。心率可以反映个人的自然健康状况,而EMG信号则表明肌肉激活和疲劳程度,从而决定性能。但是,大多数EMG和心率测量工具价格昂贵且尺寸较大。数据收集的过程通常也仅限于医院或生物力学实验室。因此,这种监测系统的开发能够提供运动员和教练员所希望的有关生理数据的即时反馈。监视系统由脉冲传感器和肌肉传感器V3编织而成。 Arduino Uno充当微控制器来分析收集的信号,然后通过蓝牙将数据传输到基于Android的智能手机;笔记本电脑通过处理软件;或LCD udscreen。使用处理软件的重要意义在于允许以图形方式显示数据。脉搏传感器正在应用光电容积描记术(PPG)技术来测量心率,单位为每分钟心跳数(bpm)。另一方面,EMG信号将通过无源电极收集,从而可以监视用户的肌肉压力。在整个心电图实验中,将通过Coolterm应用程序收集的脉搏传感器结果与径向脉搏和跑步机进行了比较。结果表明,该设备的错误率可以忽略不计并且很有希望。当由肌肉传感器产生的EMG数据达到全波整流波形时,可证明产生的前臂强度。

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