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

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

Research output: Contribution to journalConference article

2 Citations (Scopus)

Abstract

Former fuzzy-pacemaker algorithms could combine inputs from sensors effectively, but it has been in difficulties for the implementation because of complex calculation and limitation of memory. In this paper, pacemaker algorithm which controlled heart rate adaptively by motion and respiratory rate was 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 to operations to wish with a shift operator and 1K memory bytes.

Original languageEnglish
Pages (from-to)992-994
Number of pages3
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume2
Publication statusPublished - 2000 Dec 1

Fingerprint

Pacemakers
Respiration
Heart Rate
Respiratory Rate
Data storage equipment
Sensors

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

Cite this

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abstract = "Former fuzzy-pacemaker algorithms could combine inputs from sensors effectively, but it has been in difficulties for the implementation because of complex calculation and limitation of memory. In this paper, pacemaker algorithm which controlled heart rate adaptively by motion and respiratory rate was 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 to operations to wish with a shift operator and 1K memory bytes.",
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A study on the rate-adaptive pacemaker by motion and respiration using neuro-fuzzy. / Shin, J. W.; Yoon, J. H.; Yoon, Y. R.

In: Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, Vol. 2, 01.12.2000, p. 992-994.

Research output: Contribution to journalConference article

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AU - Shin, J. W.

AU - Yoon, J. H.

AU - Yoon, Y. R.

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AB - Former fuzzy-pacemaker algorithms could combine inputs from sensors effectively, but it has been in difficulties for the implementation because of complex calculation and limitation of memory. In this paper, pacemaker algorithm which controlled heart rate adaptively by motion and respiratory rate was 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 to operations to wish with a shift operator and 1K memory bytes.

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