Why the study?
ECG signals may be contaminated by environmental signals that are not necessarily noise, providing an opportunity to extract gait information directly from ECG recordings.
Does an EEMD-based algorithm accurately extract step signals from wearable ECG monitors compared to accelerometer data in healthy subjects?
Does an EEMD-based algorithm accurately extract step signals from wearable ECG monitors compared to accelerometer data in healthy subjects?
An algorithm using ensemble empirical mode decomposition can accurately extract step counts from wearable ECG signals, potentially eliminating the need for a separate accelerometer.
May enable ECG-only step detection in wearables; leaves open validation in clinical populations before practice change.
No abstract yet. The journal hasn't published one we can show.
No takes yet. Share an insight, caveat, or question.
Prawiro et al. (2018) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: