Medical signal detection
304 resources related to Medical signal detection
- Topics related to Medical signal detection
- IEEE Organizations related to Medical signal detection
- Conferences related to Medical signal detection
- Periodicals related to Medical signal detection
- Most published Xplore authors for Medical signal detection
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
ISIE focuses on advancements in knowledge, new methods, and technologies relevant to industrial electronics, along with their applications and future developments.
The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2020, the 27th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.
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.
2020 IEEE International Symposium on Circuits and Systems (ISCAS)
The International Symposium on Circuits and Systems (ISCAS) is the flagship conference of the IEEE Circuits and Systems (CAS) Society and the world’s premier networking and exchange forum for researchers in the highly active fields of theory, design and implementation of circuits and systems. ISCAS2020 focuses on the deployment of CASS knowledge towards Society Grand Challenges and highlights the strong foundation in methodology and the integration of multidisciplinary approaches which are the distinctive features of CAS contributions. The worldwide CAS community is exploiting such CASS knowledge to change the way in which devices and circuits are understood, optimized, and leveraged in a variety of systems and applications.
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 ...
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.
Part I will now contain regular papers focusing on all matters related to fundamental theory, applications, analog and digital signal processing. Part II will report on the latest significant results across all of these topic areas.
Serves as a compendium for papers on the technological advances in control engineering and as an archival publication which will bridge the gap between theory and practice. Papers will highlight the latest knowledge, exploratory developments, and practical applications in all aspects of the technology needed to implement control systems from analysis and design through simulation and hardware.
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.
IEEE Transactions on Signal Processing, 1999
We propose a new acoustic signal monitoring method, which enables one to selectively detect the confusers (irregular signal events) and ignore the other true (regular) events, based on a previous pattern recognizer design methodology called the generalized probabilistic descent method. The utility of the proposed method is demonstrated in the task of detecting confusers such as sounds that are due ...
International Conference on Science and Technology of Synthetic Metals, 1994
Proceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1996
A population of aged-persons is increasing in the world, because of the advance of medical techniques and decrease in birth rate. A number of the aged-persons, who are suffering from senile dementia, are not able to recognize one's location or time. Using the proposed system, the aged-persons' family and co-workers are able to know the location of the aged-person, if ...
1995 International Conference on Acoustics, Speech, and Signal Processing, 1995
We present a novel nonlinear filtering approach for detecting weak signals in heavy noise from short data records. Such detection problems arise in many applications including communications, radar, sonar, medical imaging, seismology, industrial measurements, etc. The performance of a matched filter detector of a weak signal in heavy noise is directly proportional to the observation time. We discuss an alternative ...
IEEE Transactions on Medical Imaging, 2000
A new implementation of the minimum spanning tree (MST) phase unwrapping method is presented. The time complexity of the MST method is reduced from O(n/sup 2/) to O(n log/sub 2/ n), where n is the number of pixels in the phase map. Typical 256/spl times/256 phase maps from magnetic resonance imaging can be unwrapped in seconds, compared with tens of ...
Noise Enhanced Information Systems: Denoising Noisy Signals with Noise
ICASSP 2011 Trends in Design and Implementation of Signal Processing Systems
IEEE Medal for Environmental and Safety Technologies - Jerome Faist and Frank K. Tittell - 2018 IEEE Honors Ceremony
Fireside Chat: Key Opinion Leaders on Pre-Symptomatic Illness Detection - IEEE EMBS at NIH, 2019
2015 IEEE Honors: IEEE Jack S. Kilby Signal Processing Medal - Harry L. Van Trees
ASC-2014 SQUIDs 50th Anniversary: 4 of 6 - Keiji Enpuku
Non-Invasive Techniques for Monitoring Chronic Heart Failure - Harry Silber - IEEE EMBS at NIH, 2019
IEEE Life Sciences - Joseph M. Smith Interview
Contactless Wireless Sensing - Shyam Gollakota - IEEE EMBS at NIH, 2019
AM37x Sitara EVM Demonstration
An FPGA-Quantum Annealer Hybrid System for Wide-Band RF Detection - IEEE Rebooting Computing 2017
IMS 2011-100 Years of Superconductivity (1911-2011) - Existing and Emerging RF Applications of Superconductivity
Multi-Function VCO Chip for Materials Sensing and More - Jens Reinstaedt - RFIC Showcase 2018
IEEE Sections Congress 2014: Luc Van den Hove, Wearable Medical Technology
ASC-2014 SQUIDs 50th Anniversary: 2 of 6 - John Clarke - The Ubiquitous SQUID
Neuromorphic Mixed-Signal Circuitry for Asynchronous Pulse Processing Neuromorphic Mixed-Signal Circuitry for Asynchronous Pulse Processing - Peter Petre: 2016 International Conference on Rebooting Computing
Surgical Robotics: Medical robotics and computer-integrated interventional medicine
Utilizing Wireless Power and Communication in Medical Systems
IEEE Signal Processing Society Awards - ICASSP 2020
We propose a new acoustic signal monitoring method, which enables one to selectively detect the confusers (irregular signal events) and ignore the other true (regular) events, based on a previous pattern recognizer design methodology called the generalized probabilistic descent method. The utility of the proposed method is demonstrated in the task of detecting confusers such as sounds that are due to tool misoperation in a noisy environment.
A population of aged-persons is increasing in the world, because of the advance of medical techniques and decrease in birth rate. A number of the aged-persons, who are suffering from senile dementia, are not able to recognize one's location or time. Using the proposed system, the aged-persons' family and co-workers are able to know the location of the aged-person, if the person strays on a street. In this system, Personal Handy-phone System (PHS) is applied to track the aged-person. The relay stations of PHS are located at several places. For example, the stations are located on top of a telephone box on a street, each floor and each top of a building, at a subway station and so on. So, it is able to track the aged-person and to apply the PHS for detecting. In this paper, the signal intensity distribution of handy electronic marker of the system is analyzed.
We present a novel nonlinear filtering approach for detecting weak signals in heavy noise from short data records. Such detection problems arise in many applications including communications, radar, sonar, medical imaging, seismology, industrial measurements, etc. The performance of a matched filter detector of a weak signal in heavy noise is directly proportional to the observation time. We discuss an alternative detection approach that relies on a nonlinear filtering of the input signal using a bistable system. We show that by adaptively selecting the parameters of the system, it is possible to increase the ratio of the square of the amplitude of a sinusoid to that of the noise intensity around the frequency of the sinusoid (stochastic resonance). The sinusoid can then be reliably detected at the output of the nonlinear system using a suitable matched filter even when the data record is short.
A new implementation of the minimum spanning tree (MST) phase unwrapping method is presented. The time complexity of the MST method is reduced from O(n/sup 2/) to O(n log/sub 2/ n), where n is the number of pixels in the phase map. Typical 256/spl times/256 phase maps from magnetic resonance imaging can be unwrapped in seconds, compared with tens of minutes with the O(n/sup 2/) implementation. This makes the pixel-level MST method time efficient and practically attractive.
The measurements of parameters of the human capillary blood stream system, being an important for a medical diagnostics, are carried out by a laser Doppler flowmetry. Both the velocity spectrum and the restored phase portraits for movement of the blood in capillaries have been obtained. The detected signal shows the developing of chaotic regimes. The physical and mathematical modeling and also the computer simulation analysis for capillaries near the surface of human skin, verify the existence of irregular signal in a laser Doppler approach in contrast with a traditional approach based on consideration of only the size of capillaries, the average velocity and the viscosity value for blood current that results in laminar character of the flow. The dependences for the velocity distribution on both topology in space and control parameters in blood stream were measured, and characteristic Fourier-spectra are recognized for different dynamic modes. The nonlinear dynamics approach for hydrodynamic flow has been used to explain the obtained results
We present theorems and an algorithm to find optimal or near-optimal ldquostochastic resonancerdquo (SR) noise benefits for Neyman-Pearson hypothesis testing and for more general inequality-constrained signal detection problems. The optimal SR noise distribution is just the randomization of two noise realizations when the optimal noise exists for a single inequality constraint on the average cost. The theorems give necessary and sufficient conditions for the existence of such optimal SR noise in inequality-constrained signal detectors. There exists a sequence of noise variables whose detection performance limit is optimal when such noise does not exist. Another theorem gives sufficient conditions for SR noise benefits in Neyman-Pearson and other signal detection problems with inequality cost constraints. An upper bound limits the number of iterations that the algorithm requires to find near-optimal noise. The appendix presents the proofs of the main results.
A novel low-coherence interferometer (LCI) using a self-mixing superluminescent diode is described. The optical scheme proposed uses the photodiode on the back-face of a commercial super luminescent diode to detect the interference signal from a Fizeau interferometer. Interesting characteristics are low cost and small size, high stability and resolution. The proposed interferometer is expected to have several industrial as well as medical applications.
Quickest detection procedures when underlying noise models are partially unknown are considered. We investigate robust quickest detectors of the maximin type, where the quantity to be optimized is an asymptotic performance measure relating the mean time between false alarms to the expected delay in detection. It is shown that the maximin asymptotic measure is equal to the Kullback-Leibler divergence. Consequently, the robust detector is obtained by maximizing the K-L divergence for the least favorable distribution in the allowable class. For the weak signal case, we show an equivalence between the performance measure, the classical efficacy, and Fisher's information. The weak signal robust detector is obtained by finding the least favorable distribution for Fisher's information. Performance curves are given to show the gains available when robustness is built into the detection procedure.<<ETX>>
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