Asghar Dabiri, N. J. Dabanloo, F. Nooshiravan, K. Maghooli
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引用次数: 0
Abstract
This paper presents design and simulation of an Interval type-2 fuzzy system (IT2FS) based, Adaptive neuro-fuzzy inference system(ANFIS) pacemaker controller in MATLAB. After designing the type-1 fuzzy logic model, the stability of the designed system has been verified in the time-domain (unit step response). In previous works, type-1 (IT1FS) model step response was analyzed and compared with the other PID and Fuzzy models that only least-square-estimation and the backpropagation algorithms are used for tuning membership functions and generation of type-1 fis (fuzzy inference system) file, but at current work Fuzzy C Means (FCM) method that shows better results has been used. The pacemaker controller determines the pacing rate and adjusts the heart rate of the patient with respect to the reference input signal. The rise-time, overshoot and settling-time have been improved significantly.
期刊介绍：
MEDICAL IMPLANTS are being used in every organ of the human body. Ideally, medical implants must have biomechanical properties comparable to those of autogenous tissues without any adverse effects. In each anatomic site, studies of the long-term effects of medical implants must be undertaken to determine accurately the safety and performance of the implants. Today, implant surgery has become an interdisciplinary undertaking involving a number of skilled and gifted specialists. For example, successful cochlear implants will involve audiologists, audiological physicians, speech and language therapists, otolaryngologists, nurses, neuro-otologists, teachers of the deaf, hearing therapists, cochlear implant manufacturers, and others involved with hearing-impaired and deaf individuals.
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