Compressed sampling for heart rate monitoring

  • Authors:
  • Oliver Faust;U. Rajendra Acharya;Jianguo Ma;Lim Choo Min;Toshiyo Tamura

  • Affiliations:
  • School of Engineering, University of Aberdeen, Scotland UK;School of Engineering, Ngee Ann Polytechnic, Singapore;School of Electronic Information Engineering, Tianjin University, China;School of Engineering, Ngee Ann Polytechnic, Singapore;Department of Medical System Engineering, Chiba University, Chiba, 263-8522 Japan

  • Venue:
  • Computer Methods and Programs in Biomedicine
  • Year:
  • 2012

Quantified Score

Hi-index 0.00

Visualization

Abstract

For the first time compressed sampling (CS) has been applied to heart rate (HR) measurements. The signals can be reconstructed from samples far below the Nyquist rate with negligible small errors, a sampling reduction of 8 has been demonstrated in the paper. As a result, the bitrate of the CS sampler is half when compared to a normal sampler. A lower bitrate leads to a reduction in power consumption for HR measurement devices.