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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Rincon, F. Boichat, N. Barbero, V. Khaled, N. Atienza, D. |
| Copyright Year | 2009 |
| Description | Author affiliation: Embedded Systems Laboratory (ESL)- Ecole Polytechnique Fédérale de Lausanne, Switzerland (Boichat, N.; Atienza, D.) || Dept. of Signal Theory and Communications (TSC)-Univ. Carlos III of Madrid, Spain (Khaled, N.) || DACYA-Complutense Univ. of Madrid, Spain (Rincon, F.; Barbero, V.) |
| Abstract | This work is dedicated to the sensible optimization and porting of a multi-lead (ML) wavelet-transform (WT)-based electrocardiogram (ECG) wave delineator to a state-of-the-art commercial wearable embedded sensor platform with limited processing and storage resources. The original offline algorithm was recently proposed and validated in the literature, as an extension of an earlier well-established single-lead (SL) WT-based ECG delineator. Several ML ECG delineation approaches, including SL selection according to various criteria and lead combination into a single root-mean-squared (RMS) curve, are carefully optimized for real-time operation on a state-of-the-art commercial wearable embedded sensor platform. Furthermore, these ML ECG delineation approaches are contrasted in terms of their delineation accuracy, complexity and memory usage, as well as suitability for ambulatory real-time operation. Finally, the robustness and stability of the ML ECG delineation approaches are benchmarked with respect to a validated SL implementation. |
| Starting Page | 289 |
| Ending Page | 292 |
| File Size | 81240 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424472819 |
| ISSN | 02766547 |
| e-ISBN | 9781424472826 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-09-13 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Computers in Cardiology(CinC) |
| Subject Keyword | Electrocardiography Wearable sensors Signal analysis Biomedical monitoring Robust stability Sensor systems Embedded system Laboratories Particle measurements Electrodes |
| Content Type | Text |
| Resource Type | Article |
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