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continuous-cardiac-monitoring
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LSTM-Based ecg classification for continuous monitoring on personal wearable devices
, Article IEEE Journal of Biomedical and Health Informatics ; Volume 24, Issue 2 , 2020 , Pages 515-523 ; Oveisi, M ; Hashemi, M ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2020
Abstract
Objective: A novel electrocardiogram (ECG) classification algorithm is proposed for continuous cardiac monitoring on wearable devices with limited processing capacity. Methods: The proposed solution employs a novel architecture consisting of wavelet transform and multiple long short-term memory (LSTM) recurrent neural networks (see Fig. 1). Results: Experimental evaluations show superior ECG classification performance compared to previous works. Measurements on different hardware platforms show the proposed algorithm meets timing requirements for continuous and real-time execution on wearable devices. Conclusion: In contrast to many compute-intensive deep-learning based approaches, the...