Key result
A hybrid algorithm for beat-to-beat heart rate estimation via ballistocardiography achieved a mean absolute error of 17 ms compared to ECG reference over a test corpus of 20 whole nights.
Why the study?
Does a hybrid algorithm using contact-less ballistocardiography accurately estimate beat-to-beat heart rate compared to reference ECG?
Does a hybrid algorithm using contact-less ballistocardiography accurately estimate beat-to-beat heart rate compared to reference ECG?
A novel hybrid algorithm using a single contact-less sensor for ballistocardiography can estimate beat-to-beat heart rate with high accuracy compared to standard ECG.
Supports contactless overnight monitoring development; leaves open prospective validation before clinical adoption.
We present an algorithm for obtaining the heart rate from the signal of a single, contact-less sensor recording the mechanical activity of the heart. This vital parameter is required on a beat-to-beat basis for applications in sleep analysis and heart failure disease management. Our approach bundles information from various sources for first robust estimates. These estimates are further refined in a second step. An unambiguous comparison with the ECG RR-intervals taken as reference is possible for 98.5% of the heart beats. In these cases, a mean absolute error of 17 ms for the inter-beat interval lengths has been achieved, over a test corpus of 20 whole nights.
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Friedrich et al. (2010) studied this question. Algorithm for heart rate estimation via ballistocardiography vs. ECG RR-intervals was evaluated on Mean absolute error for inter-beat interval lengths. A hybrid algorithm for beat-to-beat heart rate estimation via ballistocardiography achieved a mean absolute error of 17 ms compared to ECG reference over a test corpus of 20 whole nights.
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