title: Fully-integrated heart rate variability monitoring system with an efficient memory.
abstract: 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 a single-port synchronous, high-performance SRAM, up to 24 hours of continuous ECG data can be stored on chip with a fixed resolution of 1 ms. The system has been tested for functionality, synthesized and laid out in a commercial 0.18 microm CMOS process in a 2.5 x 2.5 mm2 hardware core with less than 155 microW power consumption. Such a system can enable HRV monitoring with home based health care and implantable devices.
authors.affiliation: Department of Electrical Engineering, University of Hawaii at Manoa, Honolulu, HI 96822, USA. xiaoyue@hawaii.edu
authors.forename: Xiaoyue
authors.initials: X
authors.lastname: Wang
authors.forename: Mingqi
authors.initials: M
authors.lastname: Chen
authors.forename: L
authors.initials: L
authors.lastname: Macchiarulo
authors.forename: O
authors.initials: O
authors.lastname: Boric-Lubecke
mesh_terms: D001145:Arrhythmias, Cardiac / Q000175:diagnosis; D002304:Cardiac Pacing, Artificial / Q000379:methods; D003201:Computers; D015716:Electrocardiography, Ambulatory / Q000379:methods; D004867:Equipment Design; D006339:Heart Rate; D006801:Humans; D008838:Microcomputers; D008991:Monitoring, Physiologic / Q000295:instrumentation* / Q000379:methods*; D012815:Signal Processing, Computer-Assisted; D012984:Software; D013997:Time Factors