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

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

doi:10.1007/BF02345444

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

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

Internal Medicine

Research output: Contribution to journal › Article › peer-review

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 language	English
Pages (from-to)	694-699
Number of pages	6
Journal	Medical and Biological Engineering and Computing
Volume	39
Issue number	6
DOIs	https://doi.org/10.1007/BF02345444
Publication status	Published - 2001

Bibliographical note

Funding Information:
Acknowledgments" This study was supported by a grant from the Korean Health R&D Project, Ministry of Health & Welfare, Republic of Korea (HMP-98-E-4-0016).

All Science Journal Classification (ASJC) codes

Biomedical Engineering
Computer Science Applications

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10.1007/BF02345444

Cite this

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title = "Rate-adaptive pacemaker controlled by motion and respiratory rate using neuro-fuzzy algorithm",

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.",

author = "Shin, {J. W.} and Yoon, {J. H.} and Yoon, {Y. R.}",

note = "Funding Information: Acknowledgments{"} This study was supported by a grant from the Korean Health R&D Project, Ministry of Health & Welfare, Republic of Korea (HMP-98-E-4-0016).",

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AU - Yoon, J. H.

AU - Yoon, Y. R.

N1 - Funding Information: Acknowledgments" This study was supported by a grant from the Korean Health R&D Project, Ministry of Health & Welfare, Republic of Korea (HMP-98-E-4-0016).

PY - 2001

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AB - 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.

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

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

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