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Journal of Medical Engineering & Technology Volume 15, 1991 - Issue 3
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Original Article

A fuzzy approach to the rate control in an artificial cardiac pacemaker regulated by respiratory rate and temperature: A preliminary report

T. Sugiura Research Institute of Electronics, Shizuoka University, Japan
,
S. Mizushina Research Institute of Electronics, Shizuoka University, Japan
,
M. Kimura Graduate School of Electronic Science and Technology, Shizuoka University, Johoku 3–5–1, Hamamatu 432, Japan
,
Y. Fukui Graduate School of Electronic Science and Technology, Shizuoka University, Johoku 3–5–1, Hamamatu 432, Japan
&
Y. Harada First Department of Surgery, Hamamatsu University School of Medicine, Handacho 3600, Hamamatsu, 431-31, Japan
Pages 107-110 | Published online: 09 Jul 2009

Citations (15)

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Read on this site (2)

ZONG-PING LUO & KAI-NAN AN. (2001) FUZZY SYSTEMS IN BIOMEDICAL SCIENCE. International Journal of General Systems 30:2, pages 209-217.
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T. Sugiura, N. Sugiura, T. Kazui & Y. Harada. (1998) A self-tuning effect of membership functions in a fuzzy-logic-based cardiac pacing system. Journal of Medical Engineering & Technology 22:3, pages 137-143.
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Articles from other publishers (13)

Auttarat Nawikavatan, Chaiyo Thammarat & Deacha Puangdownreong. (2019) Application of Spiritual Search to Optimal PIDA Controller Design for Cardiac Pacemaker. Application of Spiritual Search to Optimal PIDA Controller Design for Cardiac Pacemaker.
Paul Bogdan, Siddharth Jain & Radu Marculescu. (2013) Pacemaker control of heart rate variability. ACM Transactions on Embedded Computing Systems 12:1s, pages 1-22.
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Paul Bogdan, Siddharth Jain, Kartikeya Goyal & Radu Marculescu. (2012) Implantable Pacemakers Control and Optimization via Fractional Calculus Approaches: A Cyber-Physical Systems Perspective. Implantable Pacemakers Control and Optimization via Fractional Calculus Approaches: A Cyber-Physical Systems Perspective.
NIELS WESSEL, HAGEN MALBERG, ROBERT BAUERNSCHMITT & JÜRGEN KURTHS. (2011) NONLINEAR METHODS OF CARDIOVASCULAR PHYSICS AND THEIR CLINICAL APPLICABILITY. International Journal of Bifurcation and Chaos 17:10, pages 3325-3371.
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J. W. Shin, J. H. Yoon & Y. R. Yoon. (2001) Rate-adaptive pacemaker controlled by motion and respiratory rate using neuro-fuzzy algorithm. Medical and Biological Engineering and Computing 39:6, pages 694-699.
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Kurt Becker. 1999. Practical Applications of Fuzzy Technologies. Practical Applications of Fuzzy Technologies 321 335 .
Günter Rau, Kurt Becker, Ralf Kaufmann & Hans-Jürgen Zimmermann. (1995) Fuzzy Logic and Control: Principal Approach and Potential Applications in Medicine. Artificial Organs 19:1, pages 105-112.
Crossref
T. Sugiura, M. Kimura, S. Mizushina & Y. Harada. (1995) A cardiac pacing system based on fuzzy logic. A cardiac pacing system based on fuzzy logic.
D. Cooper. (1995) A dual-sensor rate-responsive pacemaker algorithm incorporating a fuzzy logic expert system. A dual-sensor rate-responsive pacemaker algorithm incorporating a fuzzy logic expert system.
K. Becker, G. Rau, H. Kaesmacher, M. Petermeyer, G. Kalff & H.-J. Zimmermann. (1994) Fuzzy logic approaches to intelligent alarms. IEEE Engineering in Medicine and Biology Magazine 13:5, pages 710-716.
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S. Serge Barold & Richard S. Sanders. (1993) Rate-adaptive cardiac pacing: Cost versus technology versus patient benefit. American Heart Journal 125:6, pages 1828-1834.
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Demosthenes Katritsis, Carl F. Shakespeare & A. John Camm. (2009) New and combined sensors for adaptive‐rate pacing. Clinical Cardiology 16:3, pages 240-248.
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Demosthenes Katritsis & A. John Camm. (1992) Adaptive-Rate Pacemakers. Cardiology Clinics 10:4, pages 671-690.
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