Fetus

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A fetus (also spelled foetus, fœtus, faetus, or fætus, see below) is a developing mammal or other viviparous vertebrate after the embryonic stage and before birth. (Wikipedia.org)






Conferences related to Fetus

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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 Conference on Systems, Man and Cybernetics (SMC)

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.


2019 IEEE International Ultrasonics Symposium (IUS)

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


2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

CVPR is the premier annual computer vision event comprising the main conference and severalco-located workshops and short courses. With its high quality and low cost, it provides anexceptional value for students, academics and industry researchers.

  • 2020 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.

  • 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.

  • 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conferenceand 27co-located workshops and short courses. With its high quality and low cost, it provides anexceptional value for students,academics and industry.

  • 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry.

  • 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    computer, vision, pattern, cvpr, machine, learning

  • 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. Main conference plus 50 workshop only attendees and approximately 50 exhibitors and volunteers.

  • 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry.

  • 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Topics of interest include all aspects of computer vision and pattern recognition including motion and tracking,stereo, object recognition, object detection, color detection plus many more

  • 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Sensors Early and Biologically-Biologically-inspired Vision, Color and Texture, Segmentation and Grouping, Computational Photography and Video

  • 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Concerned with all aspects of computer vision and pattern recognition. Issues of interest include pattern, analysis, image, and video libraries, vision and graphics, motion analysis and physics-based vision.

  • 2009 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Concerned with all aspects of computer vision and pattern recognition. Issues of interest include pattern, analysis, image, and video libraries, vision and graphics,motion analysis and physics-based vision.

  • 2008 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2007 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2006 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2005 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)


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Periodicals related to Fetus

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Applied Superconductivity, IEEE Transactions on

Contains articles on the applications and other relevant technology. Electronic applications include analog and digital circuits employing thin films and active devices such as Josephson junctions. Power applications include magnet design as well asmotors, generators, and power transmission


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 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.


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.


Fuzzy Systems, IEEE Transactions on

Theory and application of fuzzy systems with emphasis on engineering systems and scientific applications. (6) (IEEE Guide for Authors) Representative applications areas include:fuzzy estimation, prediction and control; approximate reasoning; intelligent systems design; machine learning; image processing and machine vision;pattern recognition, fuzzy neurocomputing; electronic and photonic implementation; medical computing applications; robotics and motion control; constraint propagation and optimization; civil, chemical and ...


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Xplore Articles related to Fetus

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Application of the adaptive impulse correlated filter for recovering fetal electrocardiogram

Computers in Cardiology 1997, 1997

A method is described for obtaining the fetal ECG from surface electrodes using a procedure that combines averaging and adaptive techniques. The algorithm proposed consists of an adaptive filter whose reference signal is an impulse synchronized with the maternal QRS and whose desired signal is a fetal abdominal derivation. The filter behaves as an exponential average whereby its weights define ...


Wireless Fetal Heartbeat Monitoring System Using ZigBee and IEEE 802.15.4 Standard

2011 Second International Conference on Emerging Applications of Information Technology, 2011

Fetal mortality rate is considered a good measure of the quality of health care in a country or a medical facility. If we look at the current scenario, we find that we have focused more on child mortality rate than on fetus mortality. Even it is a same situation in developed country. Our aim is to provide technological solutions to ...


Fetal ECG Signal Enhancement using Polynomial Classifiers and Wavelet Denoising

2008 Cairo International Biomedical Engineering Conference, 2008

This paper addresses the enhancements achievable by the application of wavelet transform to fetal ECG (FECG) signals extracted by polynomial networks. The polynomial networks technique has been exploited to isolate fetal electrocardiogram (FECG) from the undesired mapped maternal electrocardiogram (mapped MECG). In this paper wavelet transform is used to enhance the extracted FECG. Processing of both real and synthetic ECG ...


Investigating the beat by beat phase synchronization between maternal and fetal heart rates

2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2013

The development of the fetal cardiovascular system plays a crucial role in fetal health. The evolution of the relationship between fetal and maternal cardiac systems during fetal maturation is a characterizing feature for fetal cardiac development. This paper aims to evaluate this relationship by investigating the beat-to-beat synchronization between fetal and maternal heart rates and its variation at different stages ...


Health monitoring of fetal ultrasound image using active contour models

2017 International Seminar on Application for Technology of Information and Communication (iSemantic), 2017

Analysis of the health condition of the fetus on ultrasound is needed by medical personnel as well as of pregnant women who are pregnant. At a young age the pregnancy is still a great time to do the analysis on the condition of the baby in the womb. But most of this process can only be done by experts, namely ...


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Educational Resources on Fetus

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IEEE.tv Videos

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  • Application of the adaptive impulse correlated filter for recovering fetal electrocardiogram

    A method is described for obtaining the fetal ECG from surface electrodes using a procedure that combines averaging and adaptive techniques. The algorithm proposed consists of an adaptive filter whose reference signal is an impulse synchronized with the maternal QRS and whose desired signal is a fetal abdominal derivation. The filter behaves as an exponential average whereby its weights define an averaged abdominal maternal pulse that can be subtracted from the original register, thus eliminating the maternal contribution and securing a clean fetal ECG.

  • Wireless Fetal Heartbeat Monitoring System Using ZigBee and IEEE 802.15.4 Standard

    Fetal mortality rate is considered a good measure of the quality of health care in a country or a medical facility. If we look at the current scenario, we find that we have focused more on child mortality rate than on fetus mortality. Even it is a same situation in developed country. Our aim is to provide technological solutions to help decrease the fetal mortality rate. Also if we consider pregnant women, they have to come to hospital 2-3 times a week for their regular checkups. It becomes a problem for working women and women having diabetes or other disease. For these reasons it would be very helpful if they can do this by themselves at home. This will reduce the frequency of their visit to the hospital at same time cause no compromise in the well being of both the mother and the child.

  • Fetal ECG Signal Enhancement using Polynomial Classifiers and Wavelet Denoising

    This paper addresses the enhancements achievable by the application of wavelet transform to fetal ECG (FECG) signals extracted by polynomial networks. The polynomial networks technique has been exploited to isolate fetal electrocardiogram (FECG) from the undesired mapped maternal electrocardiogram (mapped MECG). In this paper wavelet transform is used to enhance the extracted FECG. Processing of both real and synthetic ECG data are examined with proposed pre and post wavelet denoising algorithms. Results show improved extraction performance and successful removal of baseline wandering. Numerical results of signal-to-noise ratio for synthetic data attest considerable enhancement. The characteristics of the FECG signal were shown to be preserved and a relatively clean FECG signal is obtained.

  • Investigating the beat by beat phase synchronization between maternal and fetal heart rates

    The development of the fetal cardiovascular system plays a crucial role in fetal health. The evolution of the relationship between fetal and maternal cardiac systems during fetal maturation is a characterizing feature for fetal cardiac development. This paper aims to evaluate this relationship by investigating the beat-to-beat synchronization between fetal and maternal heart rates and its variation at different stages of pregnancy. Synchronization epochs and phase locking patterns are analyzed at certain synchronization ratios (SRs) for three gestational age groups (16-26 weeks, 27-33 weeks, 34-40 weeks). Results show that the normalized synchronization epoch is significantly different for three age groups with the p-value of 6.72*10<sup>-6</sup> and 2.89*10<sup>-4</sup> at SR of 1:2 and 4:5 respectively. The variance of phase locking also shows significant difference for three groups with the p-value less than 10<sup>-7</sup> at four SRs. Results also suggest that synchronization may be the force behind the increase in the maternal heart rate to maintain the fetal development and provide supplies for the fetus. Overall, the findings propose new clinical markers for evaluating the antenatal development.

  • Health monitoring of fetal ultrasound image using active contour models

    Analysis of the health condition of the fetus on ultrasound is needed by medical personnel as well as of pregnant women who are pregnant. At a young age the pregnancy is still a great time to do the analysis on the condition of the baby in the womb. But most of this process can only be done by experts, namely medical personnel. It is necessary for a segmentation process on the results of the ultrasound image processing that aims to help medical personnel, patients are pregnant women and the general public to determine how the development of the fetus to grow healthy or whether there is any abnormality. The parameters which will be used as the basis for determining the level of health of the fetus in early pregnancy, the length of the fetus (Crown Rump Length) and the gestational sac diameter (gestational sac). The parameters are expected to be visible after the ultrasound image through a phase of segmentation by using Active Contour Models. This method uses the principle of minimizing the energy to detect specific feature in the image.

  • 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>>

  • A semi-automatic process for estimating fetus velocity using ultrasound imaging and videos

    Contemporary technologies have positively affected everyday medical practice for the benefit of faster and more objective diagnoses. Image and video processing techniques have added potential to this effort, but still there is a long road ahead. In this paper a specially developed video processing methodology is described which determines the fetus velocity using B-mode ultrasonic video imaging. For that purpose, a semi-automated process using advanced computer vision and image processing tools is presented and evaluated. The results are presented with a detailed statistical analysis to verify the repeatability ad reliability of the method.

  • Computer-based statistical, pattern recognition of Doppler spectral waveform kinematics during fetal respiration

    A computer-based statistical pattern recognition program from digitized spectral waveform envelopes of amniotic fluid displacement during fetal 'respiration'' was developed to extract discriminant features of respiratory maturation. The accuracy of the model reached 98% in estimating maturity in 37 healthy controls. A subset of high-risk subjects was classified with 100% accuracy in relation to maturity and growth. The incorporation of computer algorithms to extract significant kinematic variables (p &lt; ,05) using pattern-based recognition of spectral signal features may provide a method to classify respiratory-related maturation in medical practice and obtain objective clinical indices of abnormal pulmonary states

  • Preprocessing for informative, efficient and small networks

    We demonstrate how sigmoidal fuzzification affects discriminant capacities. In particular, we study the preprocessing perceptron and compare it with the multilayer perceptron. Case studies are selected from the medical domain, where output performance needs to be related to requirements for high sensitivities. These smaller and more informative networks tend also to be more robust with respect to accuracy with various requirements on sensitivities.

  • Declarative algebra and continuous query language for biomedical stream processing in fetal monitoring system

    This paper presents the declarative algebra and continuous query language for fetal monitoring system MONAKO. Actually, architecture of this system is centralized. Recording, analyzing and visualization of data are carried out in the central unit. The new system will enable more efficient use of available resources and the construction of distributed structure. Presented example enables to define query based on data streams that makes the updated answers currently available.



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