2015
DOI: 10.1109/tbcas.2015.2452906
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Normally Off ECG SoC With Non-Volatile MCU and Noise Tolerant Heartbeat Detector

Abstract: This paper describes an electrocardiograph (ECG) monitoring SoC using a non-volatile MCU (NVMCU) and a noise-tolerant instantaneous heartbeat detector. The novelty of this work is the combination of the non-volatile MCU for normally off computing and a noise-tolerant-QRS (heartbeat) detector to achieve both low-power and noise tolerance. To minimize the stand-by current of MCU, a non-volatile flip-flop and a 6T-4C NVRAM are used. Proposed plate-line charge-share and bit-line non-precharge techniques also contr… Show more

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Cited by 38 publications
(30 citation statements)
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“…Yozaburo Nakai et al (2015) [19] presented an R-wave detection using threshold determination which is widely used approach for heart rate detection from ECG. The well known Pan-Tompkins (PT) algorithm for adult ECG based on slope thresholding using band-pass filtering, differentiation, squaring, and moving window integration is less efficient for abdominal signal analysis.…”
Section: B Conventional Heart Beat Extractionmentioning
confidence: 99%
“…Yozaburo Nakai et al (2015) [19] presented an R-wave detection using threshold determination which is widely used approach for heart rate detection from ECG. The well known Pan-Tompkins (PT) algorithm for adult ECG based on slope thresholding using band-pass filtering, differentiation, squaring, and moving window integration is less efficient for abdominal signal analysis.…”
Section: B Conventional Heart Beat Extractionmentioning
confidence: 99%
“…Circuits with advanced classification capabilities that could be used as WUCs only recently appeared in scientific literature in search of innovative ways to lower HPS based IoT sensing nodes power consumption [8]- [11]. Compared to this work, most implementations are based on alternative architectures and are designed to cover a single specific application only.…”
Section: A Related Workmentioning
confidence: 99%
“…With the rising of Internet-of-Things (IoT), there have been calls by government agencies for greater security in authentication and identification. Token based 2-Factor Authentication (2FA) technology mainly used in e-banking service is being explored to support pervasive advancement in cloud services and on-demands applications [8][9][10][11]. Heartwave as biometric mode has great potential to complement existing 2FA infrastructure for secured access to services and products through the means of wearable devices and smart connected systems.…”
Section: Introductionmentioning
confidence: 99%