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| Content Provider | IET Digital Library |
|---|---|
| Author | Zonoobi, Dornoosh Kassim, Ashraf A. |
| Abstract | The potential of the new weighted-compressive sensing approach for efficient reconstruction of electrocardiograph (ECG) signals is investigated. This is motivated by the observation that ECG signals are hugely sparse in the frequency domain and the sparsity changes slowly over time. The underlying idea of this approach is to extract an estimated probability model for the signal of interest, and then use this model to guide the reconstruction process. The authors show that the weighted-compressive sensing approach is able to achieve reconstruction performance comparable with the current state-of-the-art discrete wavelet transform-based method, but with substantially less computational cost to enable it to be considered for use in the next generation of miniaturised wearable ECG monitoring devices. |
| Starting Page | 68 |
| Ending Page | 73 |
| Page Count | 6 |
| Volume Number | 1 |
| e-ISSN | 20533713 |
| Issue Number | Issue 2, Jun (2014) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/htl/1/2 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/htl.2013.0038 |
| Journal | Healthcare Technology Letters |
| Publisher Date | 2014-05-15 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Bioelectric Signal Biology And Medical Computing Compressed Sensing Digital Signal Processing Discrete Wavelet Transform Discrete Wavelet Transform-based Method ECG Signal Electrical Activity in Neurophysiological Processes Electrocardiograph Signal Reconstruction Electrocardiography Electrodiagnostics And Other Electrical Measurement Technique Function Theory And Analysis Integral Transforms Medical Signal Processing Miniaturised Wearable ECG Monitoring Device Probability Probability Model Probability Theory Signal Processing And Detection Signal Reconstruction Statistics Stochastic Linearised SCUC Weighted-compressive Sensing |
| Content Type | Text |
| Resource Type | Article |
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