Design and analysis of low power architecture for electrocardiogram abnormalities detection using artificial neural network classifiers
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Publisher
AIP Publishing
Link
http://aip.scitation.org/doi/pdf/10.1063/5.0125823
Reference18 articles.
1. Talukder, Soham, et al. “An Efficient Architecture for QRS Detection in FPGA Using Integer Haar Wavelet Transform.” Circuits, Systems, and Signal Processing (2020): 1–16.
2. ECG signal processing and KNN classifier-based abnormality detection by VH-doctor for remote cardiac healthcare monitoring
3. Wess, Matthias, PD Sai Manoj, and Axel Jantsch. “Neural network-based ECG anomaly detection on FPGA and trade-off analysis.” 2017 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2017.
4. Review: Recent Directions in ECG-FPGA Researches
5. Comparison of Artificial Neural Networks for Low-Power ECG-Classification System
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