C6: Biosignal Processing


Chee Teck Phua1, Matthieu Hoël2, Alexandra Delrieu2,  Gaelle Lissorgues2

1Nanyang Polytechnic, Singapore;
2ESIEE, Paris

Accurate R peaks detection in electrocardiogram (ECG) is an important process to assess the cardiovascular health of an individual (e.g. heart arrhythmia, heart rate variability, etc.). Many studies have presented various methods to detect R peaks in ECG using single physiological signal (i.e. ECG) and are highly subjective to the quality of the ECG signal. In this paper, an accurate R peaks detection algorithm is proposed based on the use of electromechanical physiological signals (i.e. ECG and photoplethysmogram (PPG)). Concurrent processing of both ECG and PPG is able to reduce the need to have high quality ECG and allows the use of simple signal processing algorithms to identify the locations of R peaks in ECG signals. The flexibility of our method was demonstrated through concurrent implementation on a low cost platform (i.e. BeagleBone Black (BBB)) and FPGA platform (i.e. myRIO from National Instrument), achieving respective accuracy of 95% and 98%, using physiological signals acquired in realtime. The accuracy provided by our method is able to be applied on wearables and supports accurate realtime assessment of cardiovascular health

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