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Using Biosensors and Digital Biomarkers to Assess Response to Cardiac Rehabilitation: Observational Study

Using Biosensors and Digital Biomarkers to Assess Response to Cardiac Rehabilitation: Observational Study

First, the artefacts present in the ECG signals were automatically detected and removed by means of the algorithm proposed by Varon et al [22]. Next, an algorithm performed the initial automatic R-peak detection [23] and incorrect detections were visually corrected. The R-peaks were then used to generate the heart rate by dividing the signal into 2-minute or 16-second windows with a 4-second stride, from which the heart rate parameters were derived.

Hélène De Cannière, Christophe JP Smeets, Melanie Schoutteten, Carolina Varon, Chris Van Hoof, Sabine Van Huffel, Willemijn Groenendaal, Pieter Vandervoort

J Med Internet Res 2020;22(5):e17326