Characterization of ventricular tachycardia and ventricular fibrillation using semantic mining
Ventricular tachycardia and ventricular fibrillation are ventricular cardiac arrhythmia that could be calamitous and life threatening. The ability to provide accurate predictions of ventricular tachycardia or ventricular fibrillation events can save lives. The purpose of this work was to investigate...
Saved in:
主要作者: | Mohammed Sheet, Sinan S. |
---|---|
格式: | Thesis |
語言: | English |
出版: |
2011
|
主題: | |
在線閱讀: | http://eprints.utm.my/id/eprint/31933/5/SinanSMohammedSheetMFKE2011.pdf |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
Ventricular arrhythmias classification based on deep learning algorithm
由: Chai, Adrian Kah Seng
出版: (2020) -
Evaluating prediction algorithm of malignant ventricular arrythmia for earlier prediction time on heterogenous databases
由: Mok, William Wen Leng
出版: (2022) -
Mathematical modeling and simulation for semantic mining of brain activity
由: Zakaria, Nor Aini
出版: (2008) -
Classification of atrial fibrillation using second order dynamic system with pattern recognition algorithm
由: Lee, Wei Qi
出版: (2022) -
Convolution neural network for diabetic retinopathy classification with select enhancment algorithm
由: Mohammed Sheet, Sinan Salim
出版: (2022)