Heart rate

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Heart rate is the number of heartbeats per unit of time, typically expressed as beats per minute. Heart rate can vary as the body's need to absorb oxygen and excrete carbon dioxide changes, such as during exercise or sleep. (Wikipedia.org)






Conferences related to Heart rate

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2014 IEEE International Conference on Systems, Man and Cybernetics - SMC

SMC2014 targets advances in Systems Science and Engineering, Human-Machine Systems, and Cybernetics involving state-of-art technologies interacting with humans to provide an enriching experience and thereby improving the quality of lives including theories, methodologies, and emerging applications.


2012 International Conference on Computer and Communication Engineering (ICCCE)

The main objective of this conference is to provide a forum for engineers, academicians, scientists and researchers to present the result of their research activities in the field of Computer and Communication Engineering. The primary focus of the conference is to create an effective medium for institutions and industries to share ideas, innovations and problem solving techniques.

  • 2010 International Conference on Computer and Communication Engineering (ICCCE)

    The main objective of this conference is to provide a forum for engineers, academicians, scientists and researchers to present the result of their research activities in the field of Computer and Communication Engineering. The primary focus of the conference is to create an effective medium for institutions and industries to share ideas, innovations and problem solving techniques.


2011 8th Intl. Symp. on Noninvasive Functional Source Imaging of the Brain & Heart and the 8th Intl. Conference on Bioelectromagnetism (NFSI & ICBEM)

All aspects of bioelectromagnetic field measurement and noninvasive functional imaging of the human body. Research tools include EEG/MEG source analyzers, fMRI, PET, SPECT, EIT and NIRS applied, for example, to cognition and to the neurological and psychiatric disorders of the brain and to the electromechanical coupling in the heart.

  • 2007 Joint Mtg. of the 6th Intl. Symp. on Noninvasive Functional Source Imaging & the Intl. Conf. on Functional Biomedical Imaging (NFSI & ICFBI)


2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

The general theme of EMBC'08 is "Personalized Healthcare through Technology", covering a broad spectrum of topics from biomedical and clinical engineering and physics to medical and clinical applications. Transfer of research results from academia to industry will also be a focus of the conference.



Periodicals related to Heart rate

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Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Computing in Science & Engineering

Physics, medicine, astronomy—these and other hard sciences share a common need for efficient algorithms, system software, and computer architecture to address large computational problems. And yet, useful advances in computational techniques that could benefit many researchers are rarely shared. To meet that need, Computing in Science & Engineering (CiSE) presents scientific and computational contributions in a clear and accessible format. ...


Design & Test of Computers, IEEE

IEEE Design & Test of Computers offers original works describing the methods used to design and test electronic product hardware and supportive software. The magazine focuses on current and near-future practice, and includes tutorials, how-to articles, and real-world case studies. Topics include IC/module design, low-power design, electronic design automation, design/test verification, practical technology, and standards. IEEE Design & Test of ...


Engineering in Medicine and Biology Magazine, IEEE

Both general and technical articles on current technologies and methods used in biomedical and clinical engineering; societal implications of medical technologies; current news items; book reviews; patent descriptions; and correspondence. Special interest departments, students, law, clinical engineering, ethics, new products, society news, historical features and government.


Signal Processing, IEEE Transactions on

The technology of transmission, recording, reproduction, processing, and measurement of speech; other audio-frequency waves and other signals by digital, electronic, electrical, acoustic, mechanical, and optical means; the components and systems to accomplish these and related aims; and the environmental, psychological, and physiological factors of thesetechnologies.




Xplore Articles related to Heart rate

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Using (Bio)Metrics to Predict Code Quality Online

Sebastian C. Müller; Thomas Fritz 2016 IEEE/ACM 38th International Conference on Software Engineering (ICSE), 2016

Finding and fixing code quality concerns, such as defects or poor understandability of code, decreases software development and evolution costs. A common industrial practice to identify code quality concerns early on are code reviews. While code reviews help to identify problems early on, they also impose costs on development and only take place after a code change is already completed. ...


Subspace detection of the impulse response function from intrapartum uterine pressure and fetal heart rate variability

Philip A Warrick; Emily F Hamilton Computing in Cardiology 2013, 2013

Using clinically measured intrapartum cardiotocography (CTG) data, the objective of this study was to detect the impulse response function (IRF) of the single-input single-output system composed of uterine pressure as the input and one of three frequency band powers of fetal heart rate variability (fHRV) as the output. The results showed statistically significant differences between normal fetuses and those that ...


The ΔQT/ΔHR index for coronary artery disease evidence

S. Wong; F. Ng; D. Almeida; F. Mora; M. F. Hernandez; G. Passariello Engineering in Medicine and Biology Society, 1997. Proceedings of the 19th Annual International Conference of the IEEE, 1997

Repolarization phase is not yet a fully understood phenomenon, the most common method for evaluation of ventricular repolarization is a measurement of QT interval duration directly on electrocardiographic strips. This simple time interval is such a difficult parameter to measure because its value is affected by several physiological factors. In this study the authors propose an index, calculated as the ...


Fetal heart rate pattern in prenatal diagnosis - fetal autonomic brain age score

Dirk Hoyer; Uwe Schneider Computing in Cardiology 2013, 2013

Fetal heart rate patterns provide valuable information about normal fetal maturation. For heart rate variability (HRV) analysis to be successful in prenatal diagnosis the selection of appropriate HRV indices is required. Those indices were organized according to universal principles of developmental biology. Key characteristics of evolution and self-organization are increasing fluctuation amplitude, increasing complexity and pattern formation. Related HRV indices ...


Design of a capacitive ECG sensor for unobtrusive heart rate measurements

Amaya Arcelus; Mohammed Sardar; Alex Mihailidis 2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 2013

The increased prevalence of cardiovascular disease among the aging population has prompted greater interest in the field of smart home monitoring and unobtrusive cardiac measurements. This paper introduces the design of a capacitive electrocardiogram (ECG) sensor that measures heart rate with no conscious effort from the user. The sensor consists of two active electrodes and an analog processing circuit that ...


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Educational Resources on Heart rate

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eLearning

Using (Bio)Metrics to Predict Code Quality Online

Sebastian C. Müller; Thomas Fritz 2016 IEEE/ACM 38th International Conference on Software Engineering (ICSE), 2016

Finding and fixing code quality concerns, such as defects or poor understandability of code, decreases software development and evolution costs. A common industrial practice to identify code quality concerns early on are code reviews. While code reviews help to identify problems early on, they also impose costs on development and only take place after a code change is already completed. ...


Subspace detection of the impulse response function from intrapartum uterine pressure and fetal heart rate variability

Philip A Warrick; Emily F Hamilton Computing in Cardiology 2013, 2013

Using clinically measured intrapartum cardiotocography (CTG) data, the objective of this study was to detect the impulse response function (IRF) of the single-input single-output system composed of uterine pressure as the input and one of three frequency band powers of fetal heart rate variability (fHRV) as the output. The results showed statistically significant differences between normal fetuses and those that ...


The ΔQT/ΔHR index for coronary artery disease evidence

S. Wong; F. Ng; D. Almeida; F. Mora; M. F. Hernandez; G. Passariello Engineering in Medicine and Biology Society, 1997. Proceedings of the 19th Annual International Conference of the IEEE, 1997

Repolarization phase is not yet a fully understood phenomenon, the most common method for evaluation of ventricular repolarization is a measurement of QT interval duration directly on electrocardiographic strips. This simple time interval is such a difficult parameter to measure because its value is affected by several physiological factors. In this study the authors propose an index, calculated as the ...


Fetal heart rate pattern in prenatal diagnosis - fetal autonomic brain age score

Dirk Hoyer; Uwe Schneider Computing in Cardiology 2013, 2013

Fetal heart rate patterns provide valuable information about normal fetal maturation. For heart rate variability (HRV) analysis to be successful in prenatal diagnosis the selection of appropriate HRV indices is required. Those indices were organized according to universal principles of developmental biology. Key characteristics of evolution and self-organization are increasing fluctuation amplitude, increasing complexity and pattern formation. Related HRV indices ...


Design of a capacitive ECG sensor for unobtrusive heart rate measurements

Amaya Arcelus; Mohammed Sardar; Alex Mihailidis 2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 2013

The increased prevalence of cardiovascular disease among the aging population has prompted greater interest in the field of smart home monitoring and unobtrusive cardiac measurements. This paper introduces the design of a capacitive electrocardiogram (ECG) sensor that measures heart rate with no conscious effort from the user. The sensor consists of two active electrodes and an analog processing circuit that ...


More eLearning Resources

IEEE-USA E-Books

  • About the Editor

    For the first time, eleven experts in the fields of signal processing and biomedical engineering have contributed to an edition on the newest theories and applications of fuzzy logic, neural networks, and algorithms in biomedicine. Nonlinear Biomedical Signal Processing, Volume I provides comprehensive coverage of nonlinear signal processing techniques. In the last decade, theoretical developments in the concept of fuzzy logic have led to several new approaches to neural networks. This compilation delivers plenty of real-world examples for a variety of implementations and applications of nonlinear signal processing technologies to biomedical problems. Included here are discussions that combine the various structures of Kohenen, Hopfield, and multiple-layer "designer" networks with other approaches to produce hybrid systems. Comparative analysis is made of methods of genetic, back-propagation, Bayesian, and other learning algorithms. Topics covered include: Uncertainty management Analysis of biomedical signals A guided tour of neural networks Application of algorithms to EEG and heart rate variability signals Event detection and sample stratification in genomic sequences Applications of multivariate analysis methods to measure glucose concentration Nonlinear Biomedical Signal Processing, Volume I is a valuable reference tool for medical researchers, medical faculty and advanced graduate students as well as for practicing biomedical engineers. Nonlinear Biomedical Signal Processing, Volume I is an excellent companion to Nonlinear Biomedical Signal Processing, Volume II: Dynamic Analysis and Modeling.

  • Evaluation of the Autonomic Nervous System: From Algorithms to Clinical Practice

    This chapter contains sections titled: Introduction Relationship Between Heart Rate Variability and Myocardial Infarction Relationship Between Heart Rate Variability and Heart Failure Relationship Between Heart Rate and Blood Pressure Variability Sudden Death Risk Stratification, Prophylactic Treatment, and Unresolved Issues The Role of Autonomic Markers in Noninvasive Risk Stratification

  • Assessment of Nonlinear Dynamics in Heart Rate Variability Signal

    This chapter contains sections titled: Introduction Assessment of Nonlinear Properties in Biological Systems: The Time Series Analysis Nonlinear Physiological Models for the Generation of Heartbeat Dynamics Experimental Results: Examples in Cardiovascular Pathologies and Physiological Conditions Conclusion This chapter contains sections titled: References

  • No title

    This textbook is intended for undergraduate students (juniors or seniors) in Biomedical Engineering, with the main goal of helping these students learn about classical control theory and its application in physiological systems. In addition, students should be able to apply the Laboratory Virtual Instrumentation Engineering Workbench (LabVIEW) Controls and Simulation Modules to mammalian physiology. The first four chapters review previous work on differential equations for electrical and mechanical systems. Chapters 5 through 8 present the general types and characteristics of feedback control systems and foot locus, frequency response, and analysis of stability and margins. Chapters 9 through 12 cover basic LabVIEW programming, the control module with its pallets, and the simulation module with its pallets. Chapters 13 through 17 present various physiological models with several LabVIEW control analyses. These chapters cover control of the heart (heart rate, stroke volume, and cardiac output), the vestibular system and its role in governing equilibrium and perceived orientation, vestibulo-ocular reflex in stabilizing an image on the surface of the retina during head movement, mechanical control models of human gait (walking movement), and the respiratory control model. The latter chapters (Chapters 13-17) combine details from my class lecture notes in regard to the application of LabVIEW control programming by the class to produce the control virtual instruments and graphical displays (root locus, Bode plots, and Nyquist plot). This textbook was developed in cooperation with National Instruments personnel. Table of Contents: Electrical System Equations / Mechanical Translation Systems / Mechanical Rotational Systems / Thermal Systems and Systems Representation / Characteristics and Types of Feedback Control Systems / Root Locus / Frequency Response Analysis / Stability and Margins / Introduction to LabVIEW / Control Design in LabVIEW / Simulation in LabVIEW / LabVI W Control Design and Simulation Exercise / Cardiac Control / Vestibular Control System / Vestibulo-Ocular Control System / Gait and Stance Control System / Respiratory Control System

  • Heart Rate Variability: Measures and Models

    This chapter contains sections titled: Introduction Methods and Measures Discriminating Heart-Failure Patients from Normal Subjects Markers for other Cardiac Pathologies Does Deterministic Chaos Play a Role in Heart Rate Variability? Mathematical Models for Heart Rate Variability Conclusion This chapter contains sections titled: References Appendix A

  • Fractal Analysis of Heart Rate Variability

    This chapter contains sections titled: Introduction The fBm Model The Autocorrelation Function for DFGN The Probability Density Function for DFGN A Maximum Likelihood Estimator for DFGN PSD Estimators for fBm and DFGN A Wavelet Estimator for DFGN The Heart Rate Variability Signal This chapter contains sections titled: References

  • Index

    Featuring current contributions by experts in signal processing and biomedical engineering, this book introduces the concepts, recent advances, and implementations of nonlinear dynamic analysis methods. Together with Volume I in this series, this book provides comprehensive coverage of nonlinear signal and image processing techniques. Nonlinear Biomedical Signal Processing: Volume II combines analytical and biological expertise in the original mathematical simulation and modeling of physiological systems. Detailed discussions of the analysis of steady-state and dynamic systems, discrete-time system theory, and discrete modeling of continuous-time systems are provided. Biomedical examples include the analysis of the respiratory control system, the dynamics of cardiac muscle and the cardiorespiratory function, and neural firing patterns in auditory and vision systems. Examples include relevant MATLAB® and Pascal programs. Topics covered include: Nonlinear dynamics Behavior and estimation Modeling of biomedical signals and systems Heart rate variability measures, models, and signal assessments Origin of chaos in cardiovascular and gastric myoelectrical activity Measurement of spatio-temporal dynamics of human epileptic seizures A valuable reference book for medical researchers, medical faculty, and advanced graduate students, it is also essential reading for practicing biomedical engineers. Nonlinear Biomedical Signal Processing, Volume II is an excellent companion to Dr. Akay's Nonlinear Biomedical Signal Processing, Volume I: Fuzzy Logic, Neural Networks, and New Algorithms.

  • Smart m???Health Sensing

    This chapter presents a new taxonomy of m???Health sensing. It also charts the evolution of medical sensing from the early remote monitoring principles to recent advances in true m???Health monitoring with wearable technologies, body area networks (BAN), wireless implantable bimolecular sensors, and many more devices. The new m???Health sensor taxonomy was composed of the following categories: health and wellness monitoring sensors; diagnostic sensors; prognostic and treatment sensors; and assistive sensors. The chapter describes briefly each of these categories and subcategories for completeness. There are a number of universal physiological and physical parameters for bio???sensing and wireless monitoring. Among these are the electrocardiogram, electroencephalogram (EEG), electromyogram (EMG), blood pressure (systolic and dia???stolic), body or skin temperature, respiratory rate (RR), oxygen saturation, heart rate, perspiration (sweating or skin) conductivity, heart sounds, blood glucose level, and body movements. Smartphones are increasingly acting to sense, collect, process, and distribute medical data.

  • Index

    For the first time, eleven experts in the fields of signal processing and biomedical engineering have contributed to an edition on the newest theories and applications of fuzzy logic, neural networks, and algorithms in biomedicine. Nonlinear Biomedical Signal Processing, Volume I provides comprehensive coverage of nonlinear signal processing techniques. In the last decade, theoretical developments in the concept of fuzzy logic have led to several new approaches to neural networks. This compilation delivers plenty of real-world examples for a variety of implementations and applications of nonlinear signal processing technologies to biomedical problems. Included here are discussions that combine the various structures of Kohenen, Hopfield, and multiple-layer "designer" networks with other approaches to produce hybrid systems. Comparative analysis is made of methods of genetic, back-propagation, Bayesian, and other learning algorithms. Topics covered include: Uncertainty management Analysis of biomedical signals A guided tour of neural networks Application of algorithms to EEG and heart rate variability signals Event detection and sample stratification in genomic sequences Applications of multivariate analysis methods to measure glucose concentration Nonlinear Biomedical Signal Processing, Volume I is a valuable reference tool for medical researchers, medical faculty and advanced graduate students as well as for practicing biomedical engineers. Nonlinear Biomedical Signal Processing, Volume I is an excellent companion to Nonlinear Biomedical Signal Processing, Volume II: Dynamic Analysis and Modeling.

  • Nonlinear Behavior of Heart Rate Variability as Registered after Heart Transplantation

    This chapter contains sections titled: Introduction Detection of Nonlinear Dynamics in Time Series The Detection Scheme for Nonlinearities Simulations Clinical Study Discussion This chapter contains sections titled: Acknowledgments References



Standards related to Heart rate

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No standards are currently tagged "Heart rate"


Jobs related to Heart rate

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