Automatic ECG analysis using principal component analysis and wavelet transformation
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...
Saved in:
| Superior document: | Karlsruhe transactions on biomedical engineering |
|---|---|
| : | |
| Year of Publication: | 2007 |
| Language: | English |
| Series: | Karlsruhe transactions on biomedical engineering
|
| Physical Description: | 1 electronic resource (214 p.) |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| LEADER | 01722nam-a2200409z--4500 | ||
|---|---|---|---|
| 001 | 993544073804498 | ||
| 005 | 20240402173719.0 | ||
| 006 | m o d | ||
| 007 | cr|mn|---annan | ||
| 008 | 202102s2007 xx |||||o ||| 0|eng d | ||
| 020 | |a 1000006642 | ||
| 035 | |a (CKB)4920000000101106 | ||
| 035 | |a (oapen)https://directory.doabooks.org/handle/20.500.12854/41640 | ||
| 035 | |a (EXLCZ)994920000000101106 | ||
| 041 | 0 | |a eng | |
| 100 | 1 | |a Khawaja, Antoun |4 auth | |
| 245 | 1 | 0 | |a Automatic ECG analysis using principal component analysis and wavelet transformation |
| 260 | |b KIT Scientific Publishing |c 2007 | ||
| 300 | |a 1 electronic resource (214 p.) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Karlsruhe transactions on biomedical engineering | |
| 506 | |a Open access |f Unrestricted online access |2 star | ||
| 520 | |a 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. | ||
| 546 | |a English | ||
| 653 | |a Wavelet | ||
| 653 | |a TdP | ||
| 653 | |a Baseline Wander | ||
| 653 | |a ECG | ||
| 653 | |a Torsade de Points | ||
| 653 | |a Feature Extraction | ||
| 653 | |a Biosignal Pr | ||
| 653 | |a Multi-Channel ECG | ||
| 653 | |a Principal Component Analysis | ||
| 653 | |a PCA | ||
| 776 | |z 3-86644-132-0 | ||
| 906 | |a BOOK | ||
| ADM | |b 2024-04-04 04:30:51 Europe/Vienna |f system |c marc21 |a 2019-11-10 04:18:40 Europe/Vienna |g false | ||
| AVE | |i DOAB Directory of Open Access Books |P DOAB Directory of Open Access Books |x https://eu02.alma.exlibrisgroup.com/view/uresolver/43ACC_OEAW/openurl?u.ignore_date_coverage=true&portfolio_pid=5337514730004498&Force_direct=true |Z 5337514730004498 |b Available |8 5337514730004498 | ||