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...
保存先:
| 第一著者: | |
|---|---|
| フォーマット: | Online |
| 言語: | 英語 |
| 出版事項: |
KIT Scientific Publishing
2021
|
| 主題: | |
| オンライン･アクセス: | 35691 |
| タグ: |
タグなし, このレコードへの初めてのタグを付けませんか!
|
| 要約: | 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. |
|---|