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- W2890321158 abstract "This chapter presents an ultra-low power ECG feature extraction engine. ECG signal represents the cardiac cycle and contains key features, such as QRS complex, P-wave, and T-wave, that provide important diagnostic information about cardiovascular diseases. The ECG feature extraction is based on combined techniques of CLT and DWT. A pipelined architecture for implementing CLT is proposed. The system was fabricated using GF-65 nm technology and consumed 642 nW only when operating at a frequency of 7.5 kHz from a supply voltage of 0.6 V. Ultra-low power consumption of the SoC made it suitable for self-powered wearable devices." @default.
- W2890321158 created "2018-09-27" @default.
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- W2890321158 date "2018-09-07" @default.
- W2890321158 modified "2023-09-27" @default.
- W2890321158 title "Combined CLT and DWT-Based ECG Feature Extractor" @default.
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- W2890321158 doi "https://doi.org/10.1007/978-3-319-97016-5_4" @default.
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