A study on the rate-adaptive pacemaker by motion and respiration using neuro-fuzzy

Author

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

Author_Institution

Dept. of Biomed. Eng., Yonsei Univ., Seoul, South Korea

Volume

2

fYear

2000

fDate

2000

Firstpage

992

Abstract

Former fuzzy-pacemaker algorithms could combine inputs from sensors effectively, but there have been difficulties in implementation because of complex calculation and limitations of memory. In this paper, a pacemaker algorithm, which controlled heart rate adaptively by motion and respiratory rate, is proposed. Consequently, the inferred heart rate using neuro-fuzzy method was more accurate than the one using normal fuzzy table look-up method, and the applicability to a real pacemaker system was achieved by reduced mapping of neuro-fuzzy consequential table, which was accomplished with a shift operator and 1 K memory bytes

Keywords

adaptive control; biocontrol; content-addressable storage; fuzzy neural nets; inference mechanisms; pacemakers; table lookup; 1 Kbyte; adaptive neuro-fuzzy method; chronotropic assessment exercise protocol; dual-sense method; fuzzy CAM method; heart rate adaptive control; inference accuracy; inferred heart rate; motion; rate-adaptive pacemaker; reduced mapping; respiratory rate; Control systems; Estimation theory; Fuzzy systems; Heart rate; Inference algorithms; Microprocessors; Motion control; Pacemakers; Protocols; Sensor systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2000. Proceedings of the 22nd Annual International Conference of the IEEE

Conference_Location

Chicago, IL

ISSN

1094-687X

Print_ISBN

0-7803-6465-1

Type

conf

DOI

10.1109/IEMBS.2000.897890

Filename

897890