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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2018 23rd Asia and South Pacific Design Automation Conference (ASP-DAC)

ASP-DAC 2018 is the 23rd annual international conference on VLSI design automation in Asia and South Pacific regions, one of the most active regions of design and fabrication of silicon chips in the world. The conference aims at providing the Asian and South Pacific CAD/DA and Design community with opportunities of presenting recent advances and with forums for future directions in technologies related to Electronic Design Automation (EDA). The format of the meeting intends to cultivate and promote an instructive and productive interchange of ideas among EDA researchers/developers and system/circuit/device designers. All scientists, engineers, and students who are interested in theoretical and practical aspects of VLSI design and design automation are welcomed to ASP-DAC.


2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE


2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)

The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2018 will be the 15th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2018 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging.ISBI 2019 will be the 16th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2019 meeting will continue this tradition of fostering cross fertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2017 will be the 14th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2017 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI 2016)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forumfor the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2016 willbe the thirteenth meeting in this series. The previous meetings have played a leading role in facilitatinginteraction between researchers in medical and biological imaging. The 2016 meeting will continue thistradition of fostering crossfertilization among different imaging communities and contributing to an integrativeapproach to biomedical imaging across all scales of observation.

  • 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI 2015)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2015 will be the 12th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2014 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI 2014)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2014 will be the eleventh meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2014 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2013 IEEE 10th International Symposium on Biomedical Imaging (ISBI 2013)

    To serve the biological, biomedical, bioengineering, bioimaging and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2012 IEEE 9th International Symposium on Biomedical Imaging (ISBI 2012)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2011 IEEE 8th International Symposium on Biomedical Imaging (ISBI 2011)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2010 IEEE 7th International Symposium on Biomedical Imaging (ISBI 2010)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2009 IEEE 6th International Symposium on Biomedical Imaging (ISBI 2009)

    Algorithmic, mathematical and computational aspects of biomedical imaging, from nano- to macroscale. Topics of interest include image formation and reconstruction, computational and statistical image processing and analysis, dynamic imaging, visualization, image quality assessment, and physical, biological and statistical modeling. Molecular, cellular, anatomical and functional imaging modalities and applications.

  • 2008 IEEE 5th International Symposium on Biomedical Imaging (ISBI 2008)

    Algorithmic, mathematical and computational aspects of biomedical imaging, from nano- to macroscale. Topics of interest include image formation and reconstruction, computational and statistical image processing and analysis, dynamic imaging, visualization, image quality assessment, and physical, biological and statistical modeling. Molecular, cellular, anatomical and functional imaging modalities and applications.

  • 2007 IEEE 4th International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2007)

  • 2006 IEEE 3rd International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2006)

  • 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2004)

  • 2002 1st IEEE International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2002)


2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)

BHI is "informatics for smart, precision and preventive medicine."


2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC )

The Conference focuses on all aspects of instrumentation and measurement science andtechnology research development and applications. The list of program topics includes but isnot limited to: Measurement Science & Education, Measurement Systems, Measurement DataAcquisition, Measurements of Physical Quantities, and Measurement Applications.


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Periodicals related to Heart rate

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Biomedical Circuits and Systems, IEEE Transactions on

The Transactions on Biomedical Circuits and Systems addresses areas at the crossroads of Circuits and Systems and Life Sciences. The main emphasis is on microelectronic issues in a wide range of applications found in life sciences, physical sciences and engineering. The primary goal of the journal is to bridge the unique scientific and technical activities of the Circuits and Systems ...


Biomedical Engineering, IEEE Reviews in

The IEEE Reviews in Biomedical Engineering will review the state-of-the-art and trends in the emerging field of biomedical engineering. This includes scholarly works, ranging from historic and modern development in biomedical engineering to the life sciences and medicine enabled by technologies covered by the various IEEE societies.


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.


Computer

Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed technical content that covers all aspects of computer science, computer engineering, technology, and applications. Computer is a resource that practitioners, researchers, and managers can rely on to provide timely information about current research developments, trends, best practices, and changes in the profession.


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. ...


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Most published Xplore authors for Heart rate

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Xplore Articles related to Heart rate

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Response of fetal heart rate to uterine contractions

[{u'author_order': 1, u'affiliation': u'Health Sci. Center, Texas Univ., Houston, TX, USA', u'full_name': u'N.S. Padhye'}, {u'author_order': 2, u'affiliation': u'Health Sci. Center, Texas Univ., Houston, TX, USA', u'full_name': u'Z. Duan'}, {u'author_order': 3, u'affiliation': u'Health Sci. Center, Texas Univ., Houston, TX, USA', u'full_name': u'M.T. Verklan'}] The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2004

The heart rate variability of fetuses under stress from maternal uterine contractions conveys critical information to clinicians and also provides theoretical clues about heart rate regulatory mechanisms. According to the polyvagal theory, the deceleration of fetal heart rate under stress is caused by the withdrawal of vagal tone. Recovery is mediated by its reestablishment. An implication of this mechanism is ...


Measurement characteristics of the ultrasound heart rate monitor

[{u'author_order': 1, u'affiliation': u'Dept. of Appl. Phys., Nat. Defense Acad., Yokosuka, Japan', u'full_name': u'Y. Noguchi'}, {u'author_order': 2, u'affiliation': u'Dept. of Appl. Phys., Nat. Defense Acad., Yokosuka, Japan', u'full_name': u'H. Mamune'}, {u'author_order': 3, u'full_name': u'S. Sugimoto'}, {u'author_order': 4, u'full_name': u'J. Yoshida'}, {u'author_order': 5, u'full_name': u'H. Sasa'}, {u'author_order': 6, u'full_name': u'H. Kobayashi'}, {u'author_order': 7, u'full_name': u'M. Kobayashi'}] Proceedings of 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1994

It was reported that the measurement error of the fetal heart rate variability (FHRV), which was obtained by a ultrasound heart rate monitor with the Doppler signal, was large even if the auto-correlation technique was used. Nevertheless, fetal heart rate monitoring by the ultrasound heart rate monitor is necessary to determine the status of the fetus because an invasive test ...


Classification of fetal heart rate tracings based on wavelet-transform and self-organizing-map neural networks

[{u'author_order': 1, u'affiliation': u'Biomed. Eng. Lab, Athens Nat. Tech. Univ., Greece', u'full_name': u'G. Vasios'}, {u'author_order': 2, u'affiliation': u'Biomed. Eng. Lab, Athens Nat. Tech. Univ., Greece', u'full_name': u'A. Prentza'}, {u'author_order': 3, u'affiliation': u'Biomed. Eng. Lab, Athens Nat. Tech. Univ., Greece', u'full_name': u'D. Blana'}, {u'author_order': 4, u'full_name': u'E. Salamalekis'}, {u'author_order': 5, u'full_name': u'P. Thomopoulos'}, {u'author_order': 6, u'full_name': u'D. Giannaris'}, {u'author_order': 7, u'full_name': u'D. Koutsouris'}] 2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2001

The objective of the present study is the development of an automated computerized system that will assist the early diagnosis of fetal hypoxia. We demonstrate that it is possible to distinguish between healthy subjects and academic fetuses by way of wavelet transform analysis of the fetal heart rate recordings and fetal pulse oximetry (FSpO/sub 2/). We focus on the values ...


Feasibility of HRV measurement from single-channel doppler radar

[{u'author_order': 1, u'affiliation': u'Department of Electrical Engineering, University of Hawaii at Manoa, 96822, USA', u'full_name': u'Wansuree Massagram'}, {u'author_order': 2, u'affiliation': u'Department of Electrical Engineering, University of Hawaii at Manoa, 96822, USA', u'full_name': u'Noah M. Hafner'}, {u'author_order': 3, u'affiliation': u'Department of Electrical Engineering, University of Hawaii at Manoa, 96822, USA', u'full_name': u'Shuhei Yamada'}, {u'author_order': 4, u'affiliation': u'Department of Electrical Engineering, University of Hawaii at Manoa, 96822, USA', u'full_name': u'Victor M. Lubecke'}, {u'author_order': 5, u'affiliation': u'Department of Electrical Engineering, University of Hawaii at Manoa, 96822, USA', u'full_name': u'Olga Boric-Lubecke'}] 2007 IEEE Antennas and Propagation Society International Symposium, 2007

The single-channel Doppler radar system was evaluated for heart rate variability (HRV) measurement. Pearson PMCC, scatter plots, absolute differences, and mean were used and demonstrated good correlation between Doppler radar operating at different power levels and the finger pulse reference. Doppler radar may be of interest for heartbeat monitoring because of its remote sensing ability and shows good potential for ...


Feasibility of a simple method for identifying sleep periods from Holter recordings

[{u'author_order': 1, u'affiliation': u'Washington Univ. Sch. of Med., St. Louis, MO, USA', u'full_name': u'C. Williams'}, {u'author_order': 2, u'affiliation': u'Washington Univ. Sch. of Med., St. Louis, MO, USA', u'full_name': u'P.K. Stein'}, {u'author_order': 3, u'full_name': u'P.P. Domitrovich'}, {u'author_order': 4, u'full_name': u'T.R. Taylor'}] Computers in Cardiology, 2002

To determine whether sleep periods can be identified from Holter-derived data using a combination of hourly average HR patterns and hourly spectral plots, Holier data from N=77 randomly-selected subjects with self-reported bed:wake (B:W) times were examined. N=50 were patients with a recent MI (C), 12 were younger subjects from a Holler quality validation study (Y), and 15 were subjects>65 years ...


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IEEE-USA E-Books

  • Affect Processing: The Hidden Key to Clear Communication

    This chapter contains sections titled: * Internal Affect Processing Defined * External Affect Processing Defined * Balanced Affect Processing Defined * Affect Processing in Overdriven, Disconnected, and Clear Ranges * Contextual Integration of Affect Processing

  • Introduction to Body Area Communications

    This chapter defines body area communications, describes its promising applications and available frequency bands. It also summarizes the physical layer (PHY) of the IEEE 802.15.6 standard.

  • Pattern Classification and Diagnostic Decision

    This chapter explores methods to classify the signal into one of a few specified categories and investigates the relevance of the features and the classification methods in arriving at a diagnostic decision about the patient. The subject of pattern classification is a vast area by itself. The topics presented in this chapter provide a brief introduction to the subject with several illustrations of application to biomedical signals. Biomedical signals may be processed and analyzed to extract quantitative features that may be used to classify the signals as well as to design diagnostic decision functions. Practical development of such techniques is usually hampered by a number of limitations related to the extent of discriminant information present in the signals selected for analysis, as well as the limitations of the features designed and computed. Artifacts inherent in the signal or caused by the signal acquisition systems impose further limitations. A pattern classification system that is designed with limited data and information about the chosen signals and features will provide results that should be interpreted with due care. Above all, it should be borne in mind that the final diagnostic0 decision requires far more information than that provided by biomedical signals and their analysis: this aspect is best left to the physician or health-care specialist in the spirit of computer-aided diagnosis.

  • Analysis of Waveshape and Waveform Complexity

    This chapter explains how waveshapes and waveform complexity in biomedical signals relate to the characteristics of the underlying physiological and pathological phenomena and proposes techniques to parameterize and analyze the signal features that are identified. It focuses on characteristics that could be observed or derived in the time domain. The parameters considered were designed with the aim of discriminating between different types of waveshapes, or of representing change in waveform complexity through the course of a physiological or pathological process. It should be borne in mind that, in most practical applications, a single parameter or a couple of measures may not adequately serve the purposes of signal analysis or diagnostic decision making. A practical application would need to maintain a broad scope of analysis and use several parameters to detect various possible abnormalities. An investigator should consider the possibility that a parameter observed to be useful in the time domain may serve the needs in the analysis of some other signals in a different domain.

  • Exploring Physiological Features from on-Body Radio Channels

    The chapter summarizes potential non-invasive technologies for future smart infrastructures supporting electromagnetic (EM) sensing technologies. It overviews important physiological signals, and highlights on respiration rate and heartbeat. Several radio frequency (RF)-based techniques have been proposed and tested at different microwave frequencies. The basic principle of this technology relies on the transmission of electromagnetic waves toward the sensing target. The collected data embeds information not only from the radio channel link, but from the subject's bio-electromagnetic signature as well. It is evident that the electromagnetic wave propagation of on/off-body antennas are highly influenced by the behavior of the transmission path. Most of the non-invasive EM sensing systems have been implemented within research laboratory environments adopting one of the following methods: received signal strength (RSS), continuous-wave (CW), and wide band pulsed (UWB) signals. In order to extract and classify physiological features, acquired data are post- processed using a wide range of advanced digital signal processing algorithms.

  • Future Trends, Forecasting, the Age of Adaptation and More Transformative Transforms

    Adaptation, scaling and context, examples of adaptation in existing and future semiconductor solutions, examples of adaptation in present and future mobile broadband systems, specialization and the role of standards making, differentiating communications and connectivity value, defining Next Generation Networks, Defining an Ultra Low Cost Network, Standards policy, spectral policy and RF economies of scale, The impact of IPR on RF component and sub system costs, The Cost of ‘Design Dissipation’, The particular costs of delivering broadcast content over cellular networks, Summary‐ cost and value transforms.



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