2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES) 2010
DOI: 10.1109/iecbes.2010.5742234
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Electrocardiogram signal processing method for exact Heart Rate detection in physical activity monitoring system: Wavelet approach

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Cited by 2 publications
(2 citation statements)
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“…Besides, if chopping is used to decrease the influence of 1/f noise on the amplification chain, applying a chopping frequency of only 30 Hz to the amplifier presented in Section III.C will already be sufficient to meet the SNR required for EHG measurements. Another case study which is worth mentioning is Heart Rate (HR) monitoring during physical activities, described in [32]. In this kind of wearable application, the use of a flexible electronic frontend could be a very interesting option, for its potential of decreasing motion artefacts.…”
Section: B Application Perspectivementioning
confidence: 99%
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“…Besides, if chopping is used to decrease the influence of 1/f noise on the amplification chain, applying a chopping frequency of only 30 Hz to the amplifier presented in Section III.C will already be sufficient to meet the SNR required for EHG measurements. Another case study which is worth mentioning is Heart Rate (HR) monitoring during physical activities, described in [32]. In this kind of wearable application, the use of a flexible electronic frontend could be a very interesting option, for its potential of decreasing motion artefacts.…”
Section: B Application Perspectivementioning
confidence: 99%
“…In this kind of wearable application, the use of a flexible electronic frontend could be a very interesting option, for its potential of decreasing motion artefacts. The authors of [32] use a Doubechies orthonormal wavelet to improve the detection rate of R-spikes present in the ECG signal. The algorithm is evaluated by analysing real signals with different SNR, from 36 dB to 6 dB, and the results show a correct detection rate of 94.8% on signals with 6 dB of SNR.…”
Section: B Application Perspectivementioning
confidence: 99%