Rate-adaptive pacemaker controlled by motion and respiratory rate using neuro-fuzzy algorithm

J. W. Shin, J. H. Yoon, Y. R. Yoon

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

Rate-adaptive pacemakers use information from sensors to change the rate of heart stimulation. Until now, fuzzy-pacemaker algorithms have been used to combine inputs from sensors to improve heart rate control, but they have been difficult to implement. In this paper, a pacemaker algorithm which controlled heart rate adaptively by motion and respiratory rate was studied. After chronotropic assessment exercise protocol (CAEP) tests were performed to collect activity and respiratory rate signals, the intrinsic heart rate was inferred from these two signals by a neuro-fuzzy method. For 10 subjects the heart rate inference, using the neuro-fuzzy algorithm, gave 52.4% improved accuracy in comparison with the normal fuzzy table look-up method. The neuro-fuzzy method was applied to a real pacemaker by reduced mapping of the neuro-fuzzy look-up table.

Original languageEnglish
Pages (from-to)694-699
Number of pages6
JournalMedical and Biological Engineering and Computing
Volume39
Issue number6
DOIs
Publication statusPublished - 2001 Jan 1

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Computer Science Applications

Fingerprint Dive into the research topics of 'Rate-adaptive pacemaker controlled by motion and respiratory rate using neuro-fuzzy algorithm'. Together they form a unique fingerprint.

  • Cite this