Noise tolerant QRS detection using template matching with short-term autocorrelation
Y Nakai, S Izumi, M Nakano… - 2014 36th Annual …, 2014 - ieeexplore.ieee.org
This paper describes a robust method for heart beat detection from noisy electrocardiogram
(ECG) signals. Generally, the QRS-complex of heart beat is extracted from the ECG using a
threshold. However, in a noisy condition such a mobile and wearable bio-signal monitoring
system, noise increases the incidence of misdetection and false detection of QRS-complex.
To prevent incorrect detection, we introduce a novel template matching algorithm. The
template waveform can be generated autonomously using a short-term autocorrelation …
(ECG) signals. Generally, the QRS-complex of heart beat is extracted from the ECG using a
threshold. However, in a noisy condition such a mobile and wearable bio-signal monitoring
system, noise increases the incidence of misdetection and false detection of QRS-complex.
To prevent incorrect detection, we introduce a novel template matching algorithm. The
template waveform can be generated autonomously using a short-term autocorrelation …
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