| 000 | 01795naaaa2200361uu 4500 | ||
|---|---|---|---|
| 001 | https://directory.doabooks.org/handle/20.500.12854/41640 | ||
| 005 | 20220219211451.0 | ||
| 020 | _aKSP/1000006642 | ||
| 020 | _a9783866441323 | ||
| 024 | 7 |
_a10.5445/KSP/1000006642 _cdoi |
|
| 041 | 0 | _aEnglish | |
| 042 | _adc | ||
| 100 | 1 |
_aKhawaja, Antoun _4auth |
|
| 245 | 1 | 0 | _aAutomatic ECG analysis using principal component analysis and wavelet transformation |
| 260 |
_bKIT Scientific Publishing _c2007 |
||
| 300 | _a1 electronic resource (214 p.) | ||
| 506 | 0 |
_aOpen Access _2star _fUnrestricted online access |
|
| 520 | _aThe 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. | ||
| 540 |
_aCreative Commons _fhttps://creativecommons.org/licenses/by-nc-nd/4.0/ _2cc _4https://creativecommons.org/licenses/by-nc-nd/4.0/ |
||
| 546 | _aEnglish | ||
| 653 | _aWavelet | ||
| 653 | _aTdP | ||
| 653 | _aBaseline Wander | ||
| 653 | _aECG | ||
| 653 | _aTorsade de Points | ||
| 653 | _aFeature Extraction | ||
| 653 | _aBiosignal Pr | ||
| 653 | _aMulti-Channel ECG | ||
| 653 | _aPrincipal Component Analysis | ||
| 653 | _aPCA | ||
| 856 | 4 | 0 |
_awww.oapen.org _uhttps://www.ksp.kit.edu/9783866441323 _70 _zDOAB: download the publication |
| 856 | 4 | 0 |
_awww.oapen.org _uhttps://directory.doabooks.org/handle/20.500.12854/41640 _70 _zDOAB: description of the publication |
| 999 |
_c44228 _d44228 |
||