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KMID : 1144120110010020143
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Biomedical Engineering Letters
2011 Volume.1 No. 2 p.143 ~ p.150
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Optimization methods for improving the performance of heart rate detection by a wearable ECG system during high-intensity exercise
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Yoon Uk-Jin
Noh Yeon-Sik
Yoon Hyung-Ro
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Abstract
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Purpose: Wearable electrocardiogram (ECG) systems are exposed to more noises than the general ECG systems, because of the high impedance between electrodes and the skin and the need to acquire ECG data during exercise or in daily life. The purpose of this study was to enhance heart rate detection by optimizing electrode and signal processing in a wearable system during high-intensity exercise.
Methods: To create an optimal electrode condition, we quantitatively measured the change in noise according to a change in pattern of textile electrodes by using 3 textile electrodes with the same material quality but different patterns. We also measured the degree of skin hydration by using an MPA5 (CK Electronics, Germany) to obtain the optimal condition between electrodes and skin. To accurately detect the QRS complex, use of an improved algorithm based on a wavelet, which has strong noise tolerance, was suggested.
Results: We obtained root-mean-square (RMS) values that were expected to be similar to those measured with the Ag-AgCl electrode at the point of >120% of skin hydration. The QRS complex detection rate of the wavelet method that was suggested in this study was compared to that of an adaptive filter and mathematical morphology operator. We used the data collected during actual exercise performed at 15 km/h. The QRS complex detection rate of the proposed algorithm was 99.9%.
Conclusions: Through optimization of the wearable system that was suggested in this study, collection of a more accurate heart rate value is expected. In addition, the influence of noise could be minimized in the wearable system.
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KEYWORD
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Wearable, Textile electrode, High-intensity exercise, Skin hydration, Wavelet, Adaptive filter, Mathematical morphology operator
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