Attention-based multi-scale features fusion for unobtrusive atrial fibrillation detection using ballistocardiogram signal.
Fangfang JiangChuhang HongTianqing ChengHaoqian WangBowen XuBiyong ZhangPublished in: Biomedical engineering online (2021)
The proposed method can provide an innovative solution to capture the diverse scale descriptions of BCG and explore ways to involve the deep learning method to accurately screen AF in routine life.
Keyphrases
- atrial fibrillation
- deep learning
- heart failure
- left atrial
- oral anticoagulants
- working memory
- clinical practice
- left atrial appendage
- high throughput
- percutaneous coronary intervention
- direct oral anticoagulants
- machine learning
- artificial intelligence
- label free
- coronary artery disease
- real time pcr
- left ventricular
- solid state
- sensitive detection