Fetal heart rate
475 resources related to Fetal heart rate
- Topics related to Fetal heart rate
- IEEE Organizations related to Fetal heart rate
- Conferences related to Fetal heart rate
- Periodicals related to Fetal heart rate
- Most published Xplore authors for Fetal heart rate
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
The conference will provide a forum for discussions and presentations of advancements inknowledge, new methods and technologies relevant to industrial electronics, along with their applications and future developments.
2019 IEEE International Conference on Systems, Man, and Cybernetics (SMC2019) will be held in the south of Europe in Bari, one of the most beautiful and historical cities in Italy. The Bari region’s nickname is “Little California” for its nice weather and Bari's cuisine is one of Italian most traditional , based of local seafood and olive oil. SMC2019 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report up-to-the-minute innovations and developments, summarize stateof-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems and cybernetics. Advances have importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience, and thereby improve quality of life.
The conference covers all aspects of the technology associated with ultrasound generation and detection and their applications.
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.
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.
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 aspects of image processing, imaging systems, and image scanning, display, and printing. Includes theory, algorithms, and architectures for image coding, filtering, enhancement, restoration, segmentation, and motion estimation; image formation in tomography, radar, sonar, geophysics, astronomy, microscopy, and crystallography; image scanning, digital half-toning and display, andcolor reproduction.
Telemedicine, teleradiology, telepathology, telemonitoring, telediagnostics, 3D animations in health care, health information networks, clinical information systems, virtual reality applications in medicine, broadband technologies, and global information infrastructure design for health care.
The IEEE Region 9 is releasing the IEEE Latin America Transactions to enable the publication of non-published and technically excellent papers from Latin American engineers, in Spanish or Portuguese languages. Engineers and researchers from Portugal and Spain (and others countries with the same language) are also very welcome to submit their proposals.
IEEE Transactions on Biomedical Engineering, 2000
A real-time method for fetal heart rate (FHR) monitoring based on signal processing of the fetal heart sounds is presented. The acoustic method, which utilizes an adaptive time pattern analysis to select and analyze those heartbeats that can be recorded without artefact, is guided by a number of rules involving an introduced confidence factor on the timing prediction. The algorithm ...
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society Volume 13: 1991, 1991
IEEE Proceedings on Southeastcon, 1990
Adaptive signal processing methods are presented in support of a noninvasive ambulatory fetal heart rate monitor. Adaptive least mean square (LMS) linear prediction methods are used for fetal heart tone signature analysis and detection in the presence of background acoustic noise. The signal processing techniques designed to identify, analyze, and detect the fetal phonocardiographic signature are discussed. Subsequent evaluation of ...
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 ...
TENCON 2009 - 2009 IEEE Region 10 Conference, 2009
Doppler ultrasound monitors are commonly used to measure the fetal heart rate (FHR) in routine screenings. They are less intrusive than fetal electrocardiography (FECG), but are more prone to noise and thus seen as less accurate devices. Recent developments resulted in beat-to-beat heart rate algorithms for Doppler shift monitors that claimed to approach the accuracy of that obtained from direct ...
IMS 2014: Super High Bit Rate Radio Access Technologies for Small Cells Using Higher Frequency Bands
IEEE Day 2017 Testimonial: Karen Bartelson
IMS MicroApps: Multi-Rate Harmonic Balance Analysis
IMS 2015: Maxwells Legacy: The Heart and Soul of the EM Discipline
Sections Congress 2014 IGNITE! Sessions pt. 4
Part Two: Interview with John Tisdale—IEEE VIC Summit 2018
2012 IEEE Honors Ceremony
Prospects and Challenges for GHz to THz Technologies/Architectures for Future Wireless Communications pt.2
An Ultra-Wideband Low-Power ADPLL Chirp Synthesizer with Adaptive Loop Bandwidth in 65nm CMOS: RFIC Interactive Forum
A Fully Integrated 75-83GHz FMCW Synthesizer for Automotive Radar Applications with -97dBc/Hz Phase Noise at 1MHz Offset and 100GHz/mSec Maximal Chirp Rate: RFIC Industry Showcase 2017
IMS 2014: Dr. Rudolph Henning Memorial
Skillful Manipulation Based on High-Speed Sensory-Motor Fusion
IEEE Region 10 Congress 2015
Part 1: Interview with John Tisdale—IEEE VIC Summit 2018
2011 IEEE Richard W. Hamming Medal - Toby Berger
Winds of Change: Part 1 - The Technology
Life Sciences: Visual Prosthetics Bioengineering, Nigel Lovell
Prospects and Challenges for GHz to THz Technologies/Architectures for Future Wireless Communications pt.1
Record-high Secret Key Rate for Joint Classical & Quantum Transmission Over 37-core Fiber - Beatrice Da Lio - Closing Ceremony, IPC 2018
A real-time method for fetal heart rate (FHR) monitoring based on signal processing of the fetal heart sounds is presented. The acoustic method, which utilizes an adaptive time pattern analysis to select and analyze those heartbeats that can be recorded without artefact, is guided by a number of rules involving an introduced confidence factor on the timing prediction. The algorithm was implemented in a low-power portable electronic instrument to enable long-term fetal surveillance. A large number of clinical tests have shown the very good performance of the phonocardiographic method in comparison with FHR curves simultaneously recorded with ultrasound cardiotocography. Indeed, approximately 90% of the time, the acoustic FHR curve remained inside a /spl plusmn/3 beats/min tolerance limit of the reference ultrasound method. The confidence was typically CF>0.85. The acoustic method exceeded a /spl plusmn/5 beats/min limit relative to the ultrasound method approximately 5% of the time. Finally, no relevant FHR data was measured approximately 5% of the time.
Adaptive signal processing methods are presented in support of a noninvasive ambulatory fetal heart rate monitor. Adaptive least mean square (LMS) linear prediction methods are used for fetal heart tone signature analysis and detection in the presence of background acoustic noise. The signal processing techniques designed to identify, analyze, and detect the fetal phonocardiographic signature are discussed. Subsequent evaluation of the detected fetal heart tone events are used to determine the instantaneous heart rate. Preliminary investigation has indicated that linear prediction is feasible for detecting the fetal heart tones in an advanced acoustic fetal heart rate monitor. A prediction length of eight was found to be suboptimal in minimizing the total mean square error over the training event.<<ETX>>
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.
Doppler ultrasound monitors are commonly used to measure the fetal heart rate (FHR) in routine screenings. They are less intrusive than fetal electrocardiography (FECG), but are more prone to noise and thus seen as less accurate devices. Recent developments resulted in beat-to-beat heart rate algorithms for Doppler shift monitors that claimed to approach the accuracy of that obtained from direct FECG. We evaluate one such algorithm, along with a noise tolerant improvement using a mixture of synthetic and real fetal heart data in order to quantify their accuracy and robustness in the presence of the typical noise in signals from an ultrasound probe. The findings showed that our proposed approach achieved higher accuracy and better robustness compared to the beat-to-beat fetal heart detection approach.
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>>
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 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.
The objective of the present study is to examine the very low frequency periodic components of the fetal heart rate during labor in relation to the oxygen saturation of the fetal arterial blood. In order to analyze and quantify the periodic dynamics of the fetal heart rate variability in the very low frequency (VLF) range, we apply the matching pursuits (MP) method. This method has the ability to identify multiple periodicities in a highly nonstationary signal and we focus on the sinusoidal-like activities between 0.01 and 0.04 Hz. We demonstrate that the VLF activity of the fetal heart rate is increased when the oxygen saturation of the fetal arterial blood is diminished below the threshold value of 30% and the umbilical artery pH is lower than 7.15.
An algorithm has been developed for the simultaneous measurement of the fetal and maternal heart rates from the maternal abdominal electrocardiogram during pregnancy and labor for fetal monitoring. The algorithm is based on cross- correlation, adaptive thresholding and statistical properties in the time domain. Hardware description language - VHDL has been used to implement the algorithm for FPGA implementation. The design is synthesized and fitted into Altera's Stratix EP1S10 using the Quartus II platform. Test case results showed an error percentage of around plusmn0.3% and plusmn0.5% for the detection of maternal and fetal heart rate respectively
No standards are currently tagged "Fetal heart rate"