Fig. 9 | Scientific Reports

Fig. 9

From: Prediction of ECG signals from ballistocardiography using deep learning for the unconstrained measurement of heartbeat intervals

Fig. 9

Predicted ECG (pECG) profiles during the occurrence of an extrasystole (a) and temporary body movement (b) during measurements in the supine position. The pECG profile is predicted using the leave-one-subject-out cross-validation scheme. Closed black circles on the ECG and pECG signals represent the locations of the R wave detected using the finding peak algorithm. The calculated R–R interval (RRI) from the ECG (red open circles) and pECG (blue crosses) signals are presented. The BCG signal was temporarily silent owing to the lack of a ventricular contraction during an extrasystolic beat (arrow); thus, a pECG signal was not generated during this period (a). Furthermore, the generation of the pECG signal is hampered by the superposition of a body movement artifact (arrow) onto the BCG signal (b). ECG electrocardiogram, BCG ballistocardiogram, |hBCG| full-wave rectified bandpass-filtered BCG signal.

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