A novel CWT-based method allows for highly sensitive and accurate detection of key cardiac points in seismocardiograms without needing an ECG reference, potentially enabling reliable home monitoring.
May enable ECG-free SCG home monitoring; leaves open prospective clinical validation.
The seismocardiogram (SCG) records the mechanical vibrations resulting from cardiac movements, and it is acquired on the chest. The SCG is a non-invasive and inexpensive technique for monitoring cardiac activity. This paper propose a new method to detect the points associated with the opening of the aortic valve (AO) and isovolumic moment (IM) at the SCG, without using the reference of electrocardiogram (ECG) signal. This method uses continuous wavelet transform (CWT) as a base and a decision rule as a first approximation, followed by a fine position detection points. The performance achieved by the detector is 99% of sensitivity, and error less than 3%. Detector performance was evaluated for several wavelets, and the best results were obtained with the Daubechies wavelet of order 4. Finally, it was evaluated robustness to noise with good results. The simplicity of the proposed method allows a starting point to segment the SCG and reliable use for monitoring elderly people at home.
No takes yet. Share an insight, caveat, or question.
Rivero et al. (2016) studied this question.
Synapse has enriched 3 closely related papers on similar clinical questions. Consider them for comparative context: