| Title | Fully-integrated heart rate variability monitoring system with an efficient memory. | ||
| Author | Wang, Xiaoyue; Chen, Mingqi; Macchiarulo, L; Boric-Lubecke, O | ||
| Journal | Conf Proc IEEE Eng Med Biol Soc | Publication Year/Month | 2006 |
| PMID | 17946281 | PMCID | -N/A- |
| Affiliation | 1.Department of Electrical Engineering, University of Hawaii at Manoa, Honolulu, HI 96822, USA. xiaoyue@hawaii.edu. | ||
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.