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.
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Tekeste Habte, T., Saleh, H., Mohammad, B., Ismail, M. (2019). Combined CLT and DWT-Based ECG Feature Extractor. In: Ultra Low Power ECG Processing System for IoT Devices. Analog Circuits and Signal Processing. Springer, Cham. https://doi.org/10.1007/978-3-319-97016-5_4
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DOI: https://doi.org/10.1007/978-3-319-97016-5_4
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