An effective feature extraction method based on GDS for atrial fibrillation detection

• Published in: Journal of biomedical informatics Vol. 119; p. 103819
• Main Authors: Wang, Haiyan, Dai, Honghua, Zhou, Yanjie, Zhou, Bing, Lu, Peng, Zhang, Hongpo, Wang, Zongmin
• Format: Journal Article
• Language: English
• Published: Elsevier Inc 01.07.2021
• Subjects: Atrial fibrillation; DNN; Feature extraction; Gradient set; Information quantity features; Statistical distribution features; Information quantity features; Feature extraction; DNN; Atrial fibrillation; Gradient set; Statistical distribution features

[Display omitted] •An effective extraction method is proposed for atrial fibrillation detection in short-term ECG.•Obtain the gradient set (GDS) of equal-length ECG segments.•Extracting the statistical and information quantity features of the GDS.•No beat detection, no denoising and normalization, s...