Health warning based on 3R ECG Sample's combined features and LSTM

• Published in: Computers in biology and medicine Vol. 162; p. 107082
• Main Authors: Liu, Qingshan, Gao, Cuiyun, Zhao, Yang, Huang, Songqun, Zhang, Yuqing, Dong, Xiaoyu, Lu, Zhonghai
• Format: Journal Article
• Language: English
• Published: United States Elsevier Ltd 01.08.2023; Elsevier Limited
• Subjects: 3R ECG sample; 3R-TSH-L; Abnormalities; Aging; Algorithms; Cardiac arrhythmia; Classification; Datasets; Disease; ECG abnormality Detection; EKG; Electrocardiography; Fourier transforms; Frequency domain analysis; Health warning; Heart rate; Internal Medicine; Internet of Things; Kurtosis; Methods; Model testing; Morphology; Neural networks; Other; Population; Support vector machines; Time domain analysis; Transfer learning; Warning; Wavelet transforms; China; 3R-TSH-L; ECG abnormality Detection; Health warning; 3R ECG sample; Transfer learning

Most researches use the fixed-length sample to identify ECG abnormalities based on MIT ECG dataset, which leads to information loss. To address this problem, this paper proposes a method for ECG abnormality detection and health warning based on ECG Holter of PHIA and 3R-TSH-L method. The 3R-TSH-L me...