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This paper describes experimental results for an application-specific integrated circuit (ASIC), designed for digital heart rate variability (HRV) parameter monitoring and assessment. This ASIC chip measures beat-to-beat (RR) intervals and stores HRV parameters into its internal memory in real time. A wide range of short-term and long-term ECG signals obtained from Physionet was used for testing....
Heart rate variability is a strong indicator of a number of medical conditions. Current HRV systems typically determine R-R intervals from pre-recorded ECG signals, which include a large amount of redundant data. In this paper we describe a more efficient HRV monitoring and assessment system on chip. By applying digital techniques to store the difference between every two adjacent R-R intervals in...
This paper describes a system on a chip for heart rate variability monitoring and assessment. The system design applies digital techniques to measure RR intervals from ECG signals, then categorizes and stores HRV measures in an internal memory. The system has been tested for functionality, synthesized and laid out in a 0.5 mum CMOS technology in a 3times3 mm2 chip with less than 1.5 muW power dissipation...
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