121 resources related to Asphyxia
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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
The ICASSP meeting is the world's largest and most comprehensive technical conference focused on signal processing and its applications. The conference will feature world-class speakers, tutorials, exhibits, and over 50 lecture and poster sessions.
The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC), Toronto, Ontario, Canada. SMC 2020 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report most recent innovations and developments, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. Advances in these fields have increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience and thereby improve quality of life. Papers related to the conference theme are solicited, including theories, methodologies, and emerging applications. Contributions to theory and practice, including but not limited to the following technical areas, are invited.
The conference scope would be covering latest technological advances and research results in the fields of theoretical, experimental and applied signal, image and video processing. Hence, IEEE ICSIPA conference seeks original high quality submissions addressing innovative research in the broad field of signal, image and video processing. These broad fields include but not limited to 1) Acquisition, Storage, Retrieval and Display, 2) Computer Vision Processing and Analysis, 3) Information Forensics and Security, 4) Biomedical Signal Processing, 5)Applied Signal and Speech Processing, and 6) Emerging Technologies
Industrial Electronics, Computational Intelligence, Information Engineering, Network & Communication Technologies,Signal & Image Processing, Trusted Computing & Secure Systems, Software Engineering, Internet of Things
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.
The development and application of electric systems, apparatus, devices, and controls to the processes and equipment of industry and commerce; the promotion of safe, reliable, and economic installations; the encouragement of energy conservation; the creation of voluntary engineering standards and recommended practices.
Applications-oriented material in the field of instrumentation and measurement.
All aspects of the theory and applications of nuclear science and engineering, including instrumentation for the detection and measurement of ionizing radiation; particle accelerators and their controls; nuclear medicine and its application; effects of radiation on materials, components, and systems; reactor instrumentation and controls; and measurement of radiation in space.
First International IEEE EMBS Conference on Neural Engineering, 2003. Conference Proceedings., 2003
Previous study has shown that the scalp electrical activity (e.g. EEG) could provide information on hypoxic-ischemic (HI) brain injury. The time dependent entropy (TDE) of EEG was applied as a means to segment the injury and recovery phases. A reduction in entropy during the injury was explained as the result of the spiking or bursting activity during the recovery of ...
2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Infant asphyxia is a condition due to insufficient oxygen intake suffered by newborn babies. A 4 to 9 million occurrences of infant asphyxia are reported each year by WHO. Early diagnosis of asphyxia is important to avoid complications such as damage to the brain, organ and tissue that could lead to fatality. This is possible with the automation of screening ...
2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2007
In this paper, a new approach for feature extraction from the Fetal Heart Rate (FHR) signal is introduced. It considers the use of Continuous Wavelet Transform to extract wavelet-based features of FHR signal in order to discriminate the normal from the abnormal cases. The proposed methodology is tested on real data acquired before the beginning or during labor. The results ...
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society Volume 13: 1991, 1991
2017 2nd International Conference for Convergence in Technology (I2CT), 2017
With the rapid advancement in technology, we still observe a significant amount of deaths of children under the age of five years. Majority of these deaths worldwide can be attributed to various medical conditions out of which three are very significant: birth asphyxia, preterm and infections. Birth asphyxia (perinatal asphyxia) is a medical condition which is characterised by abnormal breathing ...
Previous study has shown that the scalp electrical activity (e.g. EEG) could provide information on hypoxic-ischemic (HI) brain injury. The time dependent entropy (TDE) of EEG was applied as a means to segment the injury and recovery phases. A reduction in entropy during the injury was explained as the result of the spiking or bursting activity during the recovery of HI injury. The aim of this study is to investigate the spiking activity in the cortex during (HI) brain injury. The multiunit activity recorded from the cortex (CTX MUA) is analyzed with TDE methods. The spike sensitive TDE tracks the electric activity at the cellular level. The CTX MUA has high TDE value after the HI injury, which gradually returns to the baseline level as the brain recovers. This is the first report of cellular electrical response to global ischemic injury.
Infant asphyxia is a condition due to insufficient oxygen intake suffered by newborn babies. A 4 to 9 million occurrences of infant asphyxia are reported each year by WHO. Early diagnosis of asphyxia is important to avoid complications such as damage to the brain, organ and tissue that could lead to fatality. This is possible with the automation of screening of infant asphyxia. Here, a non-invasive Asphyxia Screening Kit is developed. It is a Graphical User Interface that automatically detects asphyxia in infants from early birth to 6 months from their cries and displays the outcome of analysis. It is built with Matlab GUI underlied with signal processing algorithms, capable of achieving a classification accuracy of 96.03%. Successful implementation of ASK will assist to screen infant asphyxia for reference to clinicians for early diagnosis. In addition, ASK also provides an interface to enter patient information and images to be integrated with existing Hospital Information Management System.
In this paper, a new approach for feature extraction from the Fetal Heart Rate (FHR) signal is introduced. It considers the use of Continuous Wavelet Transform to extract wavelet-based features of FHR signal in order to discriminate the normal from the abnormal cases. The proposed methodology is tested on real data acquired before the beginning or during labor. The results proved the viability of the approach and its potential for further application.
With the rapid advancement in technology, we still observe a significant amount of deaths of children under the age of five years. Majority of these deaths worldwide can be attributed to various medical conditions out of which three are very significant: birth asphyxia, preterm and infections. Birth asphyxia (perinatal asphyxia) is a medical condition which is characterised by abnormal breathing patterns in a newborn child which may eventually lead to irrevocable damage to the brain or if neglected can prove to be fatal. In most cases, the condition is diagnosed after the newborn has suffered considerable damage. This is because birth asphyxia can be conclusively determined only by medical examinations by skilled people who are not easily available in poor areas. In this paper, we aimed at such sections of the society and have tried to build up on a machine learning approach by which asphyxia can be determined at its early stages. It involves diagnosing the condition by observing patterns in the child's cry and subjecting it through different layers of a neural network built on a database of previously recorded samples of affected children. The software used is NVIDIA DIGITS and the highest sustained accuracy achieved by us is 94%. It is an economic method which does not require highly skilled labour and can be adopted in almost all sections of the society if adequate resources are available.
This paper describes the classification of infant cry with asphyxia using orthogonal least square based support vector machine with polynomial kernel. Optimization of input feature set and filter bank number of mel frequency cepstrum coefficient were performed to produce accurate results. These input feature sets were classified using support vector machine (SVM) with polynomial kernel. To enhance the performance of the classifier, the optimal feature set was then ranked in accordance to its error reduction ratio using orthogonal least square (OLS) and the classification was then repeated. In the experiments, the optimal regularization parameter and polynomial order of 2 were used. It was found that the optimal input feature set for SVM with polynomial kernel is 10 coefficients and 22 filter banks. The highest classification accuracy obtained is 96.06% when OLS is combined with SVM.
Novel indicators based on distance measures are developed and compared to quantify changes in electroencephalogram signal resulting from hypoxic- asphyxic injury. An injury index is derived based on the measures. The Itakura distance-based index is found to have the highest correlation with the long- term outcome as measured by the neurological deficit scores.
It is effective to measure the surface area of each gyrus for quantitative diagnosis of infantile brain diseases. This paper proposes an interactive gyrus labeling method for the infantile brain in magnetic resonance images. First, a user roughly gives guidelines of gyral boundaries on a 2-D projected image of the cerebral surface. The cerebral gyri are labeled by automatically determining gyral boundaries with respect to the user-given guidelines. The boundary deformation process is based on fuzzy rules. The automatically determined boundaries are validated by the user, and modified interactively. We applied the proposed method to 14 infantile subjects (3 weeks - 4 years 3 months old). The results showed that the cerebral gyri were successfully labeled with a mean sensitivity of 92.8% and a mean false positive rate of 0.1%.
The purpose of the study was to determine the force-deflection characteristics of the chest of the human surrogate dummy during the loading typical of traumatic asphyxia conditions. The 5th percentile female Hybrid III and 50th percentile male Hybrid III anthropomorphic dummies were used. The vehicle rear bumper impacted the chest of the dummy at idle speed and was allowed to remain in contact with the chest. A total of 14 tests were conducted. The chest force was measured using the load cell and chest deflection was measured using the potentiometer. High-speed photography was used to collect the kinematics data of the dummy. The measured peak deflection was above the proposed injury assessment reference value for chest compression. The peak force was found to be injurious.
Low-frequency electric currents of a few milliamperes flowing through the body cause muscular contractions. In the arm such an effect may make a subject unable to let go of a live conductor. The highest currents which 99.5 percent of men and 99.5 percent of women are able to let go have been shown to be 9 and 6 mA, respectively. Currents somewhat larger than this, in the range of 20 to 40 mA, passing across the chest may arrest respiration leading to asphyxia, unconsciousness, and even death. The most common cause of death in electric shock probably is ventricular fibrillation, a condition in which the circulation is arrested and death ensues very rapidly. An analysis of available experimental data indicates that body weight and shock duration are important factors in determining the maximum current not likely to cause ventricular fibrillation. Taking a weight of 50 kg as the average for a human victim it is suggested that the relationship between current shock duration is given by I = 116/√T, where I is the current in milliamperes and T is the time in seconds. It must be stressed that this has only been shown to be valid within the range of 8 ms to 5 seconds. Currents flowing through the nerve centers controlling respiration may cause respiratory inhibition, which sometimes persists for a long time after the current has been interrupted. Other effects produced by high currents, such as burning, etc., are not discussed in this paper.
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