Automatic ECG analysis using principal component analysis and wavelet transformation
Overview & Synopsis
The main objective of this book is to analyse and detect small changes in ECG waves and complexes that indicate cardiac diseases and disorders. Detecting predisposition to Torsade de Points (TDP) by analysing the beat-to-beat variability in T wave morphology is the main core of this work. The second main topic is detecting small changes in QRS complex and predicting future QRS complexes of patients. Moreover, the last main topic is clustering similar ECG components in different groups.
Indexed from repository: Directory of Open Access Books
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www.doabooks.org)
Document Information
| Document Title | Automatic ECG analysis using principal component analysis and wavelet transformation |
|---|---|
| Author / Organization | Khawaja, Antoun |
| Subject & Discipline | T1-995 |
| Categories | Open Access Books |
| Publication Year | 2021 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
Directory of Open Access Books
(www.doabooks.org)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-13285 |
| Original Source Link | Visit Source Page on www.doabooks.org » |