Key result
MAP fiber-optic heartbeat detection matches ECG accuracy with ~97% efficiency at rest and post-exercise.
Why the study?
Optimized heartbeat detection methods for unobtrusive fiber-optic cardiac measurements require validation and characterization of accuracy compared to ECG reference.
Does a MAP-based heartbeat detection multimethod accurately detect heartbeats in fiber-optic measurements compared to ECG reference in human participants?
Does a MAP-based heartbeat detection multimethod accurately detect heartbeats in fiber-optic measurements compared to ECG reference in human participants?
The proposed MAP heartbeat detection method for unobtrusive fiber-optic measurements demonstrates high efficiency and accuracy compared to standard ECG reference.
May support unobtrusive fiber-optic monitoring; leaves open validation in larger, diverse cohorts before clinical use.
This paper deals with an optimized heartbeat detection multimethod by using maximum a posteriori probability (MAP). The approach was derived for unobtrusive fiber-optic measurements of cardiac activity. Multiple independent detection methods were selected and characterized by their delays and variability referring to cardiac electrical excitation (R waves). Validation of the approach was performed in two experiments involving 24 participants: 10 interferometric signals were recorded at rest, 14 with variable heart rate after physical exercise. The proposed MAP heartbeat detection was assessed by a cross validation in 250 iterations. Obtained results show the overall efficiency, which was estimated by a product of the sensitivity, precision, and variability of heartbeat detections, yields 97.04 ± 3.36% for the experiment with physical exercise and 97.07 ± 4.49% at rest. The method's accuracy guarantees that the heartbeat detections differ for 22 ± 5 ms and 22 ± 3 ms from the ECG reference in the two types of experiments, respectively.
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Šprager et al. (2013) studied this question. Maximum a posteriori probability (MAP) heartbeat detection multimethod vs. ECG reference was evaluated on Overall efficiency (product of sensitivity, precision, and variability) and accuracy (difference from ECG reference). The MAP heartbeat detection method achieved an overall efficiency of 97.04 ± 3.36% after physical exercise and 97.07 ± 4.49% at rest, with detections differing from ECG by 22 ± 5 ms and 22 ± 3 ms.
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