PROJECT TITLE :
A Wearable Healthcare System With a 13.7 A Noise Tolerant ECG Processor
ABSTRACT:
To forestall lifestyle diseases, wearable bio-signal monitoring systems for lifestyle monitoring have attracted attention. Wearable systems have strict size and weight constraints, that impose vital limitations of the battery capability and the signal-to-noise ratio of bio-signals. This report describes an electrocardiograph (ECG) processor to be used with a wearable healthcare system. It includes an analog front end, a twelve-bit ADC, a sturdy Instantaneous Heart Rate (IHR) monitor, a thirty two-bit Cortex-M0 core, and 64 Kbyte Ferroelectric Random Access Memory (FeRAM). The IHR monitor uses a brief-term autocorrelation (STAC) algorithm to enhance the heart-rate detection accuracy despite its use in noisy conditions. The ECG processor chip consumes thirteen.7 $mu$A for heart rate logging application.
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