About
Contact & Profiles
A5064772388
Research Areas
- ECG Monitoring and Analysis
- Remote-Sensing Image Classification
- EEG and Brain-Computer Interfaces
- Infrared Target Detection Methodologies
- Blind Source Separation Techniques
- Advanced Image Fusion Techniques
Beijing University of Posts and Telecommunications
2018-2025
10.1109/icassp49660.2025.10890300
article
EN
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
2025-03-12
In this paper, a support vector machine (SVM) approach using statistical features, P wave absence, spectrum and length-adaptive entropy are presented to classify ECG rhythms as four types: normal rhythm, atrial fibrillation (AF), other too noisy classify.The proposed algorithm consisted of three steps: (1) signal pre-processing based on the wavelet method; (2) feature extraction, extracted features including one power feature, two 17 RR interval-related 11 features; (3) classification SVM...
10.1088/1361-6579/aac7aa
article
EN
Physiological Measurement
2018-05-24
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