@inbook{1ef1e4a9c77049c9bd6f3aafc80765fe,
title = "Combined CLT and DWT-Based ECG Feature Extractor",
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.",
keywords = "Clock Gating, Feature Extraction Engine, Power Consumption, Thermal Energy Harvesting, Wave Delineation",
author = "{Tekeste Habte}, Temesghen and Hani Saleh and Baker Mohammad and Mohammed Ismail",
note = "Publisher Copyright: {\textcopyright} 2019, Springer International Publishing AG, part of Springer Nature.",
year = "2019",
doi = "10.1007/978-3-319-97016-5_4",
language = "British English",
series = "Analog Circuits and Signal Processing",
publisher = "Springer",
pages = "27--38",
booktitle = "Analog Circuits and Signal Processing",
address = "Germany",
}
