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

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 neurofuzzy 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.

[1]  H. Schwan,et al.  Biological Engineering , 1970 .

[2]  J. J. Carr,et al.  Introduction to Biomedical Equipment Technology , 1981 .

[3]  A. Camm,et al.  Reliability of Minute Ventilation as a Parameter for Rate Responsive Pacing , 1989, Pacing and clinical electrophysiology : PACE.

[4]  Y Harada,et al.  A fuzzy approach to the rate control in an artificial cardiac pacemaker regulated by respiratory rate and temperature: a preliminary report. , 1991, Journal of medical engineering & technology.

[5]  G R Higson,et al.  Medical device regulations in the New Europe. , 1992, Journal of medical engineering & technology.

[6]  Kenneth A. Ellenbogen,et al.  Clinical Cardiac Pacing , 1995 .

[7]  P. Fotuhi,et al.  Initial Clinical Experience with a New Dual Sensor SSIR Pacemaker Controlled by Body Activity and Minute Ventilation , 1995, Pacing and clinical electrophysiology : PACE.

[8]  Chuen-Tsai Sun,et al.  Neuro-fuzzy modeling and control , 1995, Proc. IEEE.

[9]  John G Webster,et al.  Design of Cardiac Pacemakers , 1995 .

[10]  C. Lau,et al.  Delayed Exercise Rate Response Kinetics Due to Sensor Cross‐Checking in a Dual Sensor Rate Adaptive Pacing System: The Importance of Individual Sensor Programming , 1996, Pacing and clinical electrophysiology : PACE.

[11]  C. Lau,et al.  New Integrated Sensor Pacemaker: Comparison of Rate Responses Between an Integrated Minute Ventilation and Activity Sensor and Single Sensor Modes During Exercise and Daily Activities and Nonphysiological Interference , 1996, Pacing and clinical electrophysiology : PACE.

[12]  J Clémenty,et al.  The Promise of Improved Exercise Performance by Dual Sensor Rate Adaptive Pacemakers , 1997, Pacing and clinical electrophysiology : PACE.

[13]  Boriana L. Milenova,et al.  Fuzzy and neural approaches in engineering , 1997 .