Recent advances of sensors for pacemakers

Shi, Wei; Zhou, MengChu

doi:10.1109/icnsc.2011.5874939

Cited by 11 publications

(14 citation statements)

References 20 publications

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“…Conventional control and fuzzy PID controller has been demonstrated by Wei Vivien SHI [3][4][5] fuzzy control systems is to design a controller for a system that is structurally difficult to model due to naturally existing nonlinearities and other modeling complexities [8,9]. Fuzzy control system has the capability of transforming linguistic information and expert knowledge into control signals.…”

Section: Conventional Control Scheme For Pacemaker Systemsmentioning

confidence: 99%

“…Consequently, to reduce these factors, two sensors are used to provide compensation, in that an ideal controller converges only when the system is stable. [3][4][5] Due to the uncertainties contain imprecise information by combining the physiological demand, fuzzy logic controller realization for the pacemaker systems has been developed [7].In this paper, we present the advanced control for cardiac pacemaker using Adaptive neuro fuzzy inference system controller based on dual-sensors. This paper is organized as follows.…”

Section: Introductionmentioning

confidence: 99%

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Design and Presenting of a Novel Algorithm Using Anfis for New Generation of Cardiac Pacemakers

Aghdam

Dabanloo

Sattari

et al. 2017

Computing in Cardiology Conference (CinC)

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This paper presents a new intelligent control algorithm using Anfis (Adaptive neuro fuzzy inference system) for new generation of Cardiac Pacemakers. Anfis uses both merits of Fuzzy and Neural networks (Learning and speed). Based on various states of body (rest, walking and exercising) and preprogramed states of patient (Sex, age, blood pressure) heart rate and amplitude of exciting pulses will be changed. A feedback from output ECG signal fed back and compared in Anfis controller. Anfis compared with other fuzzy control algorithms provides better control scheme for estimation and generation of pacing pulse parameters including rate and amplitude. Accelerometer sensors and HRV and GSR are used for stabilization of ECG signal during the three body states [1]. Old designs of pacemakers cannot solve problems but Fuzzy can do the job very fast and accurately. Anfis method designed externally regarding patient conditions and normal ECG signals data captured from a known database (based on age and sex of patient) then calculated in MATLAB (Simulink) and programmed directly or wirelessly by ultrasound signals (a novel proposed method). Previous researches [4-19-20] are based on fuzzy PID and fuzzy logic controller in patients with cardiovascular diseases. Anfis controller offers good adaptation of the heart rate and other ECG parameters to the physiological needs of patient.

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Section: Conventional Control Scheme For Pacemaker Systemsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Design and Presenting of a Novel Algorithm Using Anfis for New Generation of Cardiac Pacemakers

Aghdam

Dabanloo

Sattari

et al. 2017

Computing in Cardiology Conference (CinC)

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“…One such example is measurement of oxygen in tissue using optical techniques and a polymer in direct contact with the tissue 105 . Long-term implants include pacemakers 106 , deep brain probes 107 , prostheses 108 , cochlear implants 109 , and retinal implants 110 . Interest also exists in long-term implants for administration of insulin or other medicines for chronic conditions.…”

Section: Medical Implant/cathetersmentioning

confidence: 99%

Precision in harsh environments

2016

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Microsystems are increasingly being applied in harsh and/or inaccessible environments, but many markets expect the same level of functionality for long periods of time. Harsh environments cover areas that can be subjected to high temperature, (bio)-chemical and mechanical disturbances, electromagnetic noise, radiation, or high vacuum. In the field of actuators, the devices must maintain stringent accuracy specifications for displacement, force, and response times, among others. These new requirements present additional challenges in the compensation for or elimination of cross-sensitivities. Many state-of-the-art precision devices lose their precision and reliability when exposed to harsh environments. It is also important that advanced sensor and actuator systems maintain maximum autonomy such that the devices can operate independently with low maintenance. The next-generation microsystems will be deployed in remote and/or inaccessible and harsh environments that present many challenges to sensor design, materials, device functionality, and packaging. All of these aspects of integrated sensors and actuator microsystems require a multidisciplinary approach to overcome these challenges. The main areas of importance are in the fields of materials science, micro/nano-fabrication technology, device design, circuitry and systems, (first-level) packaging, and measurement strategy. This study examines the challenges presented by harsh environments and investigates the required approaches. Examples of successful devices are also given.

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“…In the absence of an ideal sensor, the employment of dual-sensors has been investigated [8]. 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.…”

Section: Introductionmentioning

confidence: 99%

“…The complexity and reliability of modern pacemakers have increased significantly, mainly due to developments in sensing technologies [6]. For the purpose of heart rate regulation, various types of sensors, such as activity sensor, metabolic sensor and dual-sensors, have been employed in pacemakers to detect the heart rate, body activity, and measure some consequence of a physiological change during exercise or facing environmental or emotional changes [7,8]. The information is then used to optimize the cardiac output through adjustment of the pacing rate.…”

Section: Introductionmentioning

confidence: 99%

A Novel Design of Fuzzy PID Controllers for Dual-Sensor Cardiac Pacemaker Systems

Shi¹

2013

OJAB

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This work proposes to design a fuzzy proportional-integral derivative (FPID) controller for dual-sensor cardiac pacemaker systems, which can automatically control the heart rate to accurately track a desired preset profile. The combination of fuzzy logic and conventional PID control approaches is adopted for the controller design based on dual-sensors. This controller offers good adaptation of the heart rate to the physiological needs of the patient under different states (rest and walk). Through comparing with the conventional fuzzy control algorithm, FPID provides a more suitable control strategy to determine a pacing rate in order to achieve a closer match between actual heart rate and a desired profile. To assist the heartbeat recovery, the stimuli with adjustable pacing rate is generated by the pacemaker according to the FPID controller, such actual heart rate may track the preset heart rate faithfully. Simulation results confirm that this proposed control design is effective for heartbeat recovery and maintenance. This study will be helpful not only for the analysis and treatment of bradycardias but also for improving the performance of medical devices.

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Recent advances of sensors for pacemakers

Cited by 11 publications

References 20 publications

Design and Presenting of a Novel Algorithm Using Anfis for New Generation of Cardiac Pacemakers

Design and Presenting of a Novel Algorithm Using Anfis for New Generation of Cardiac Pacemakers

Precision in harsh environments

A Novel Design of Fuzzy PID Controllers for Dual-Sensor Cardiac Pacemaker Systems

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