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

Basil Hamed, Abd Al Karim Abu Ras
2015 Intelligent Control and Automation  
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  ...  Cardiovascular disease is defined as a heart rate that is less than 60 bpm. Implantable cardiac devices such as pacemakers are widely used nowadays.  ...  Sarna [6] presented a study of several possible implementations of fuzzy logic controllers for rate-adaptive pacemakers.  ... 
doi:10.4236/ica.2015.63016 fatcat:6afydpjpmzbhpavkuqc3zfpiiq

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

Asghar Dabiri Aghdam, Nader Jafarnia Dabanloo, Gholamreza Attarodi, Mohammad Sattari, Nazanin Hemmati
2017 2017 Computing in Cardiology Conference (CinC)  
This paper presents a new intelligent control algorithm using Anfis (Adaptive neuro fuzzy inference system) for new generation of Cardiac Pacemakers.  ...  Anfis controller offers good adaptation of the heart rate and other ECG parameters to the physiological needs of patient.  ...  paper, we present the advanced control for cardiac pacemaker using Adaptive neuro fuzzy inference system controller based on dual-sensors.  ... 
doi:10.22489/cinc.2017.110-367 dblp:conf/cinc/AghdamDASH17 fatcat:ti47h3tze5ea5esmhh2g4q23za

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

Wei Vivien Shi
2013 Open Journal of Applied Biosensor  
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  ...  The combination of fuzzy logic and conventional PID control approaches is adopted for the controller design based on dual-sensors.  ...  However, the conventional control algorithm based on fuzzy logic needs much improvement to achieve better adaptation of regulating the pacing rate to the physiological requirement for each particular patient  ... 
doi:10.4236/ojab.2013.22004 fatcat:z3rvyuzicrhjfhuej3dimqnzza

An optimized Mamdani FPD controller design of cardiac pacemaker

Mohamed I. Elnaggar, Amira S. Ashour, Yanhui Guo, Heba A. El-Khobby, Mustafa M. Abd Elnaby
2018 Health Information Science and Systems  
Cardiac pacemaker is a standard implantable medical electronic device for management and treatment of the heart rhythm disorders aiming to improved healthcare.  ...  The electrical pulses have closed features to the Sino atrial node pulses, which are delivered to the patient's heart chamber model using the FPD controller to regulate and recover a normal heart rate  ...  Several types of controllers are used in the pacemaker to adjust and regulate the HR; such controllers include the PID, fuzzy logic controller (FLC) and fuzzy proportional-integral derivative controller  ... 
doi:10.1007/s13755-018-0063-z pmid:30588292 pmcid:PMC6261926 fatcat:gykcn5ydfnhjjiuy4mmd5emk6a

Introductory Chapter: From Basic Foundations to Future Developments [chapter]

Mart Min
2019 Cardiac Pacing and Monitoring - New Methods, Modern Devices [Working Title]  
Using some soft computing method, e.g., fuzzy logic, we can evaluate the metabolic demand of the body and obtain a satisfactory pacing rate [15] .  ...  Rate-responsive pacing While earlier pacemakers have a predetermined pacing rate, set to fixed "optimal" value, rate-responsive adaptive pacemakers speed up or slow down your heart rate depending on metabolic  ... 
doi:10.5772/intechopen.85674 fatcat:nwuehtb5pndhjpkwds4mazifbm

Knowledge and intelligent computing system in medicine

Babita Pandey, R.B. Mishra
2009 Computers in Biology and Medicine  
, treatment Neuromuscular blockade control system [151] PSOFLC Neuromuscular block, treatment FL KB control [152] PD controller Muscle relaxation, treatment Predicted by fuzzy decision [153] Fuzzy  ...  [197] ANFIS Intensive care, treatment FL/ANN NICU [198] NFIS, NN topology not specified Heart rate variability, diagnosis ANFIS [199] ANFIS, trained with the BP gradient descent and least squares  ... 
doi:10.1016/j.compbiomed.2008.12.008 pmid:19201398 fatcat:hydva3mfobfefewbfnxqbfxktu

Intelligent agents for patient monitoring and diagnostics

Susan L. Mabry, Troy Schneringer, Timothy Etters, Naomi Edwards
2003 Proceedings of the 2003 ACM symposium on Applied computing - SAC '03  
Fuzzy logic, connection networks, trend analysis and qualitative logic methods are used within the dynamic decision modules of all IM-Agents.  ...  For instance, three patients each with different complications (i.e. pacemaker, diabetic and a young athlete) might each have different symptoms involving the same approximate heart rate.  ...  determining degree of tachycardia from heart rate.  ... 
doi:10.1145/952576.952585 fatcat:casqkzsg2bfinfrptn73zq4ypi

Towards False Alarm Reduction Using Fuzzy If-Then Rules for Medical Cyber Physical Systems

Wenjuan Li, Weizhi Meng, Chunhua Su, Lam For Kwok
2018 IEEE Access  
Targeting on this issue, in this work, we attempt to design a Medical Fuzzy Alarm Filter (named MFAFilter) for healthcare environments by means of fuzzy logic, especially fuzzy if-then rules, which could  ...  Its process control is often referred to as embedded systems.  ...  ACKNOWLEDGMENTS The authors would like to thank the anonymous reviewers for their helpful comments.  ... 
doi:10.1109/access.2018.2794685 fatcat:kk6ee2up25b3lfdwwo6phrnv5q

Application of fuzzy logic in order to plan and create software for converting sound to text

Hiwa Hasanzadeh, Jafar Majidpour
2020 Bulletin of Electrical Engineering and Informatics  
In these situations, the functions of each one is distinguished by the use of fuzzy logic and division of the working part of the work.  ...  logic and neural network were investigated.  ...  impressions, medical engineering including pathology or CT scan, CCU, and ICU, heart pacemaker.  ... 
doi:10.11591/eei.v9i3.1723 fatcat:6phul7vvjvhyjlvdlazwrivd2i

Performance Analysis of ECG Arrhythmia Classification based on Different SVM Methods

2020 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
There are several Support Vector Machine (SVM) methods used to classify the ECG data such as one against all, one against one and fuzzy decision function.  ...  All three methods are implemented in proper way, and their rate of accuracy with SVM classifier is optimal when it is processed with the one-against-all method.  ...  The circulation of blood throughout the whole body is controlled by the natural pacemaker and any disorder of this causes a serious heart problem [1] [2] .  ... 
doi:10.35940/ijitee.l7917.1091220 fatcat:3cewxryvf5e25evxdoezuklfu4

Waves, oscillations and optics in biomedical engineering: research in the Department of Biomedical Engineering 1994–2014

H Hinrikus
2014 Proceedings of the Estonian Academy of Sciences  
The hardware-based fuzzy logic controller as a more dynamic and flexible one demonstrated advantages compared to the existing heart rate adaption algorithms and was protected by French and European patents  ...  The aim of the project was to develop an analog fuzzy logic controller for the reconstruction of the heart rate, based on the optimal system of selected physiological signals.  ... 
doi:10.3176/proc.2014.3.01 fatcat:xswih2n74rfsvb7rtfecfbcyhq

Automation of a portable extracorporeal circulatory support system with adaptive fuzzy controllers

A. Mendoza García, M. Krane, B. Baumgartner, N. Sprunk, U. Schreiber, S. Eichhorn, R. Lange, A. Knoll
2014 Medical Engineering and Physics  
Fuzzy logic was considered as a control mechanism allowing the easy creation of rules based on the knowledge of trained perfusionists.  ...  Several simulations are presented showing the performance of the fuzzy controller with the proposed adaptive mechanism.  ...  Multiple Input Adaptive Fuzzy Controller The previous section described the principles of fuzzy logic.  ... 
doi:10.1016/j.medengphy.2014.04.009 pmid:24894032 fatcat:calbip2henezhow2a36zb5xpum

SICOBIO - Consolidation and Analysis System of Biomedical Information

William Enrique Parra Alba, Alexandra Pomares Quimbaya
2017 Proceedings of the 3rd International Conference on Information and Communication Technologies for Ageing Well and e-Health  
SICOBIO was validated with devices for remote monitoring of physical activity, heart rate and weight.  ...  Improving information systems and guaranteeing the quality of health services are current challenges for global governments.  ...  Using a fuzzy logic model, the system rated risk and generated different types of alert.  ... 
doi:10.5220/0006363701800187 dblp:conf/ict4ageingwell/AlbaQ17 fatcat:tauqsa5uifa5xhsh5iwozfaswq

Performance Analysis of ECG Arrhythmia Classification based on Different SVM Methods

Sumanta Kuila, Sayandeep Maity, Suman Kumar Mal, Subhankar Joardar
2020 Zenodo  
There are several Support Vector Machine (SVM) methods used to classify the ECG data such as one against all, one against one and fuzzy decision function.  ...  All three methods are implemented in proper way, and their rate of accuracy with SVM classifier is optimal when it is processed with the one-against-all method.  ...  The circulation of blood throughout the whole body is controlled by the natural pacemaker and any disorder of this causes a serious heart problem [1] [2] .  ... 
doi:10.5281/zenodo.5839644 fatcat:vkj75nobvfa4har3oemertytia

Principles and applications of chaotic systems

William Ditto, Toshinori Munakata
1995 Communications of the ACM  
It's called a chaotic system, or chaos for short [5] . Chaos is all around us.  ...  When we see irregularity we cling to randomness and disorder for explanations. Why should this be so?  ...  Acknowledgments The authors are indebted to Kazuyuki Aihara and Ryu Katayama for their valuable information.  ... 
doi:10.1145/219717.219797 fatcat:qvnqtdfqubcphbi4vesctke2we
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