Fuzzy PID controllers for dual-sensor pacing systems in patients with bradycardias at rest

Shi, Wei; Zhou, MengChu

doi:10.1109/icsmc.2011.6083824

Cited by 10 publications

(11 citation statements)

References 25 publications

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“…Change of the heart rate, ie, x 2 , is also considered as a controlled variable with desired value, ie, x 2d , to define a virtual control law in (9). To make x 2 → x 2d , the corresponding error, ie, e 2 is given by…”

Section: Robust Backstepping Control Schemementioning

confidence: 99%

“…Nevertheless, dual-sensor pacemakers still require reliable and advanced control methods that assist the heartbeating to be more normal and stable than current rate-adaptive pacing systems. [8][9][10][11] Previous studies presented different control schemes for the dual-sensor cardiac pacemaker as follows. A modification of classical proportional-integral-derivative (PID) controller was proposed by incorporating Massachusetts Institute of Technology rule and delta rule with an adaptive correction factor.…”

Section: Introductionmentioning

confidence: 99%

“…8 Advantages of both PID and fuzzy controllers have been combined in 1 control system for dual-sensor pacemakers. 9,13 In contrast, a fractional-order PID (FOPID) controller has been recently proposed to avoid the drawbacks of applying aforementioned controllers in implantable pacemakers. 11 However, designing procedure of stabilized FOPID control scheme is mainly based on selective tuning methods.…”

Section: Introductionmentioning

confidence: 99%

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Robust RBF neural network–based backstepping controller for implantable cardiac pacemakers

Karar

2018

Adaptive Control & Signal

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Implantable cardiac pacemaker is a standard medical device to treat heart rhythm disorders. In this paper, a new adaptive backstepping controller is developed to enhance the performance of dual-sensor pacemakers for regulating the heart rate based on radial basis function neural networks. The robust design of adaptive backstepping controller using Lyapunov functions allows to guarantee the stability and performance of the rate-adaptive pacing system for accurately accomplishing the heart rate regulation at different preset or desired values. The developed control system has been successfully validated using 12 cases of the preset heart rates for 4 patients during 3 body activities, namely, at rest, walking, and jogging. The resulting root mean square error and maximum error are less than 0.9 and 1.7%, respectively. Moreover, the comparative results of this study showed that the performance of developed backstepping controller is superior to other pacemaker controllers in the previous studies. Therefore, it is potentially valid to be applied in dual-sensor cardiac pacemakers for the clinical use. KEYWORDSbackstepping control, dual-sensor pacemaker, intelligent control, Lyapunov stability analysis, neural networks, radial basis function

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Section: Robust Backstepping Control Schemementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Robust RBF neural network–based backstepping controller for implantable cardiac pacemakers

Karar

2018

Adaptive Control & Signal

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“…B. Dual sensors: are used to avoid inappropriate rate increase and provide more accurate measurement of diagnostic data such that two sensors may compensate each other. During crosscheck both sensors can control each other and the pacing rate will only be changed if both or a predominant sensor agrees [1] [2]. Dual-sensors including accelerometer and QT interval adopted in this study provide activity signal, metabolic demand, and actual heart rate.…”

Section: Biomedical Backgroundmentioning

confidence: 99%

“…This occurs because people with bradycardia may not be pumping enough oxygen to their own heart causing heart attack-like symptoms. Thus, early diagnosis and treatment of heart diseases can effectively prevent the sudden death of a patient [1]. It is well known that implantable cardiac devices such as pacemakers are widely used nowadays.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Controller for Dual Sensors Cardiac Pacemaker System in Patients with Bradycardias at Rest

Hamed

Ras²

2015

ICA

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Cardiovascular disease is defined as a heart rate that is less than 60 bpm. Implantable cardiac devices such as pacemakers are widely used nowadays. In this paper, design and implementation of the heart model can be controlled to be the heart of a patient suffering from a decrease in heart rate (Bradycardia). A system is designed to sense and calculate the heart rate per minute and it is considered as an input to the controller. The design and implementation of Mamdani fuzzy controller to generate electric pulses that mimic the natural pacing system of the heart maintains an adequate heart rate by delivering controlled, rhythmic electrical stimuli to the chambers of the patient heart. The proposed controller is tested by using Matlab/Simulink program.

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An optimized Mamdani FPD controller design of cardiac pacemaker

Elnaggar

Ashour

Guo

et al. 2018

Health Inf Sci Syst

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Fuzzy PID controllers for dual-sensor pacing systems in patients with bradycardias at rest

Cited by 10 publications

References 25 publications

Robust RBF neural network–based backstepping controller for implantable cardiac pacemakers

Robust RBF neural network–based backstepping controller for implantable cardiac pacemakers

Fuzzy Controller for Dual Sensors Cardiac Pacemaker System in Patients with Bradycardias at Rest

An optimized Mamdani FPD controller design of cardiac pacemaker

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