Key result
An SWT-based zero-phase filter bank with a voting scheme achieved a sensitivity of 0.98±0.04 and positive predictive value of 0.95±0.09 for heartbeat detection from the upper arm at 50 ms distance.
Why the study?
Stationary wavelet transform used for heartbeat detection has the disadvantage of phase shift relative to the original signal.
Does an SWT-based zero-phase filter bank with a voting scheme improve heartbeat detection accuracy from the upper arm compared to conventional SWT?
Does an SWT-based zero-phase filter bank with a voting scheme improve heartbeat detection accuracy from the upper arm compared to conventional SWT?
A novel SWT-based zero-phase filter bank with a voting scheme improves the accuracy of heartbeat detection from the upper arm, facilitating future wearable cardiac monitoring.
Answers are grounded in this paper and cite their sources.
May enable upper-arm wearables for heartbeat monitoring; leaves open prospective validation versus conventional SWT.
Electrocardiogram (ECG) signal provides a graphical representation of cardiac activity and is the most commonly adopted clinical tool for cardiac abnormalities detection. Heartbeat detection, as the first step in analyzing ECG signals, is required for an accurate diagnosis. Stationary wavelet transform (SWT) as a commonly used algorithm for heartbeat detection has a disadvantage of phase shift regarding the original signal. This work addresses this issue by presenting a new method that incorporates an SWT-based zero-phase filter bank with a voting scheme. Our results indicated that a superior performance in heartbeat detection was achieved from the upper arm compared to conventional SWT with a more accurate localization. We achieved sensitivity (SE) and positive predictive value (PPV) of 0.98±0.04 and 0.95±0.09 with the most distance of 50 ms from the actual heartbeats. The SE and PPV changed to 0.75±0.15 and 0.73±0.16, respectively for the distance of 20 ms. Clinical Relevance- The proposed method can be later implemented in wearable devices for convenient cardiac activity monitoring from upper arm or other none-conventional sites.
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Beni et al. (2022) studied Cardiac activity monitoring. SWT-based zero-phase filter bank with a voting scheme vs. Conventional stationary wavelet transform (SWT) was evaluated on Heartbeat detection sensitivity and positive predictive value. An SWT-based zero-phase filter bank with a voting scheme achieved a sensitivity of 0.98±0.04 and positive predictive value of 0.95±0.09 for heartbeat detection from the upper arm at 50 ms distance.
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