Abstract
Athlete evaluation systems can effectively monitor daily training and boost performance to reduce injuries. Conventional heart-rate measurement systems can be easily affected by artifact movement, especially in the case of athletes. Significant noise can be generated owing to high-intensity activities. To improve the comfort for athletes and the accuracy of monitoring, we have proposed to combine robust heart rate and agility index monitoring algorithms into a small, light, and single node. A band-pass-filter-based R-wave detection algorithm was developed. The agility index was calculated by preprocessing with band-pass filtering and employing the zero-crossing detection method. The evaluation was conducted under both laboratory and field environments to verify the accuracy and reliability of the algorithm. The heart rate and agility index measurements can be wirelessly transmitted to a personal computer in real time by the ZigBee telecommunication system. The results show that the error rate of measurement of the heart rate is within 2%, which is comparable with that of the traditional wired measurement method. The sensitivity of the agility index, which could be distinguished as the activity speed, changed slightly. Thus, we confirmed that the developed algorithm could be used in an effective and safe exercise-evaluation system for athletes.
Highlights
The heartbeat is a vital physical parameter for the evaluation of health conditions, as it provides the vital signs of heart functions
The accuracy of heart rate monitoring was Evaluation monitoring was verifiedwith by standard comparison with standard
An algorithm rate andand agility index monitoring has been for athlete
Summary
The heartbeat is a vital physical parameter for the evaluation of health conditions, as it provides the vital signs of heart functions. The morphologies and inter-beat intervals of electrocardiogram (ECG). Waveform can reveal the condition of the heart contractions. The ECG signal can be used to detect the heart rate accurately [1,2,3,4]. The QRS complex is the most prominent waveform in the ECG signal that can reveal the electrical activities during ventricular contractions. The current state of the heart can be evaluated by the shape of the QRS complex as well as by the time when it occurs.
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