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

• Published in: Medical & biological engineering & computing Vol. 39; no. 6; pp. 694 - 699
• Main Authors: Shin, J. W., Yoon, J. H., Yoon, Y. R.
• Format: Journal Article
• Language: English
• Published: Heidelberg Springer 01.11.2001; Springer Nature B.V
• Subjects: Adaptation, Physiological; Algorithms; Biological and medical sciences; Diseases of the cardiovascular system; Fuzzy control; Fuzzy Logic; Heart rate; Humans; Medical sciences; Motion; Nursing; Pacemaker, Artificial; Pacemakers; Radiotherapy. Instrumental treatment. Physiotherapy. Reeducation. Rehabilitation, orthophony, crenotherapy. Diet therapy and various other treatments (general aspects); Respiratory Mechanics; Respiratory system; Sensors; Table lookup; Performance evaluation; Physical exercise; Human; Motion; Instrumentation therapy; Screening test; Heart rate; Instrumental stimulation; Accuracy; Fuzzy algorithm; Pacemaker; Respiratory frequency; Circulatory system; Automatic monitoring; Inference rule
• ISSN: 0140-0118; 1741-0444
• DOI: 10.1007/BF02345444

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.