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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2020 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.


2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

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


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.


2019 IEEE International Ultrasonics Symposium (IUS)

The conference covers all aspects of the technology associated with ultrasound generation and detection and their applications.


ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

ICASSP is the world’s largest and most comprehensive technical conference focused on signal processing and its applications. The conference will feature world-class presentations by internationally renowned speakers, cutting-edge session topics and provide a fantastic opportunity to network with like-minded professionals from around the world.


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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

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

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

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

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

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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Educational Resources on Heart rate

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IEEE-USA E-Books

  • Response of fetal heart rate to uterine contractions

    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 that the respiratory sinus arrhythmia (RSA) is elevated after the deceleration and subsequent recovery. Findings from our clinical data on fetuses support this theory. The data also indicate that in the instance of a late deceleration the RSA may not be elevated after recovery.

  • Measurement characteristics of the ultrasound heart rate monitor

    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 cannot be used daily. In order to make sure the quality of the FHRV obtained from the Doppler data, we measured the fetal ECG directly from the fetal sculpture at the same time as the Doppler data. The FHRV differences of the Doppler data from the direct ECG data were found to be concentrated at 0 bpm (beats per minute), around which the pattern of distribution is practically symmetrical. Furthermore, the spectral density of the FHRV differences showed the white spectrum without dominant peaks.<<ETX>>

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

    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 of the standard deviation of the wavelet components (up to scale index 5) and we apply a Self-Organizing-Map in order to investigate the relationship between the fetal heart rate variability in different scales and FSpO/sub 2/ (taking as a threshold for the FSpO/sub 2/, the 30% level and considering the minimum value of FSpO/sub 2/ during a 10-minute segment) for normal and acidemic fetuses during the second stage of labor, which can be used to discriminate acidemic fetuses from normal ones. A total accuracy of 91% has been achieved, enabling us to correctly classify all the normal cases (but one) as belonging in the normal group and all pathologic cases (but two) as belonging in the acidemia group, therefore providing a clinically significant measure for the discrimination of the different groups. Fetal pulse oximetry seems to be an important additional source of information.

  • Feasibility of HRV measurement from single-channel doppler radar

    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 HRV measurement.

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

    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 old from the Cardiovascular Health Study (O). N=18 (C) were excluded for a combination of abnormal circadian rhythm and abnormal HRV plots. The accuracy of hourly HR+HRV patterns to identify bedtime /spl plusmn/1 hr was: 100% (O), 84% (C), and 100% (Y). Hourly HR+HRV patterns identified wake-times /spl plusmn/1 hr 100% of the time for (O), 91% for (C) and 100% (Y). Identification of sleep periods from Holter data appears feasible in different groups using a simple algorithm. This method could permit detailed study of sleep periods in Holter cohorts where diaries are unavailable.

  • How reliable and how comparable are Holter ECG evaluations from different devices and/or persons? A case study of 3 reevaluations of a small trial

    Comparison between 3 different Holter ECG evaluations in a small clinical study with n=30 Holter recordings (25 usable ones) revealed different sources of incompatibility and incomparability. Increased attention should be given to comparable system definitions and to quality control of devices and operators. Due to vulnerability by technical artifacts, some parameters-like minimum heart rate-seem to be unsuitable for comparisons. Technical differences might account for a considerable extra amount of variability resulting from lack of technical standards and comparability of Holter devices.

  • Using fuzzy logic reasoning for monitoring hypoglycaemia in diabetic patients

    Non-invasive monitoring and detecting hypoglycaemia in diabetic patients requires simultaneous measurements of body functions such as sweating, snoring, recording EEG and heart rate. There are numerous factors that can affect the parameters being measured, e.g., environmental conditions, stress of patients, behavioural changes, duration of test etc. Therefore a physician is required to make a collective decision from the information in hand from these parameters to determine the state of the diabetic patient. This paper describes the design of a microcontroller based fuzzy logic controller which uses fuzzy reasoning method to monitor and help to detect hypoglycaemia in diabetic patients.

  • Correlation of heart rate variability with ST changes during 24 hour Holter monitoring

    Heart rate variability (HRV), which is related to the activity of the automatic nervous system, was monitored during 24-h Holter recordings in 26 normal subjects. The power spectrum (PS) was obtained and the fluctuations in heart rate in three frequency bands were correlated with ST segment changes. Significant variations in HRV and ST segment amplitude were found during the night. ST level and the power of the HRV in the low- (0-0.05 Hz) and high- (0.2-0.35 Hz) frequency bands were increased significantly during the night in the majority of the subjects. The PS in the mid- (0.05-0.2 Hz) frequency range was significantly reduced at night. The heart rate and its global variability also decreased significantly during the night. The nocturnal changes in the PS in the low-frequency band and in the ST level may be related to alterations of the autonomic nervous system.<<ETX>>

  • Poincare analysis of fetal heart rate pattern: effect of observation period

    The purpose of this study was to determine to what degree the chaotic structure in fetal heart rate variability is maintained for varying observation periods. We investigated this by evaluating the dispersion characteristics in Poincare plots on 3-, 5-, 10-, 15-, 20-, and 30-minute segments of R-R intervals for a fetus in active sleep. Our results showed that chaotic structure and dispersion patterns were present across all observation periods as compared to the randomized samples, where the dispersion pattern was consistently high and there was no structure. We conclude that the fetal heart rate pattern is chaotic and this chaotic structure is maintained in intervals as short as 3-5 minutes. The variability in the dispersion pattern is increased at these shorter observation periods.

  • A real time algorithm for the portable recording of fetal and maternal heart rates

    A PIC17C44 microcontroller development board and a real-time algorithm were developed with the capability of monitoring the fetal heart rate (FHR) as well as recording both the FHR and maternal heart rate (MHR) for 24 hours. This paper describes the implementation of the real time algorithm by using the development board which is used to develop the portable recorder. The signal processing algorithm processes the abdominal electrocardiogram (AECG) signal which is sensed via a single pair of electrodes and continuously detect both the fetal and maternal QRS complexes for the measurement of the heart rates. The algorithm detects the MECG complexes and removes these from the AECG signal for enhancing the fetal QRS complexes. The average performance of the algorithm is 70%. It is based upon digital analysis of slope, amplitude and width of the signal. It automatically adjusts thresholds and parameters to adapt to such ECG changes as the QRS morphology and heart rates. The results acquired by the developed algorithm are also included.



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