An Yukun
Department of Biomedical Engineering, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing 211166, ChinaZhang Shuli
School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, ChinaZhu Songsheng
1. Department of Biomedical Engineering, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing 211166, China; 3. School of Instrument Science and Engineering, Southeast University, Nanjing 210096, ChinaLiu Bin
Department of Biomedical Engineering, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing 211166, ChinaXiang Wentao
Department of Biomedical Engineering, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing 211166, ChinaLi Jianqing
1. Department of Biomedical Engineering, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing 211166, China; 3. School of Instrument Science and Engineering, Southeast University, Nanjing 210096, China1. Department of Biomedical Engineering, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing 211166, China; 2. School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China; 3. School of Instrument Science and Engineering, Southeast University, Nanjing 210096, China
R318.6
Objective: Jogging is a favorite sport modality for urban population. A Monitoring and evaluating system is proposed as it is challenging to monitor the accident in the jogging and evaluate the jogging performance. Methods: The adaptive Right-leg Driven circuit is proposed to overcome the unstable input impedance in hardware, the dual median filter approach is utilized to figure out the ECG motive artifact in software. Subsequently, the accident monitoring and autonomic nervous function evaluation are accomplished based on instantaneous heart rate and heart rate variability (HRV). Results: The system proposed in this paper obtain appropriate ECG. Based on the instantaneous heart rate and HRV analysis of 20 years old and 40 years old volunteers, the autonomic nervous function of 40 years old volunteer is relatively weaker. Conclusions: The experimental results demonstrate our wearable ECG system could monitor and evaluate the jogging effectively.
