Medical diagnosis

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Medical diagnosis refers to the process of attempting to determine and/or identify a possible disease or disorder and the opinion reached by this process. (Wikipedia.org)






Conferences related to Medical diagnosis

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2014 American Control Conference - ACC 2014

All areas of the theory and practice of automatic control, including but not limited to network control systems, model predictive control, systems analysis in biology and medicine, hybrid and switched systems, aerospace systems, power and energy systems and control of nano- and micro-systems.

  • 2013 American Control Conference (ACC)

    Control systems theory and practice. Conference themes on sustainability, societal challenges for control, smart healthcare systems. Conference topics include biological systems, vehicle dynamics and control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2012 American Control Conference - ACC 2012

    All areas of control engineering and science.

  • 2011 American Control Conference - ACC 2011

    ACC provides a forum for bringing industry and academia together to discuss the latest developments in the area of Automatic Control Systems, from new control theories, to the advances in sensors and actuator technologies, and to new applications areas for automation.

  • 2010 American Control Conference - ACC 2010

    Theory and practice of automatic control

  • 2009 American Control Conference - ACC 2009

    The 2009 ACC technical program will cover new developments related to theory, application, and education in control science and engineering. In addition to regular technical sessions the program will also feature interactive and tutorial sessions and preconference workshops.

  • 2008 American Control Conference - ACC 2008

  • 2007 American Control Conference - ACC 2007

  • 2006 American Control Conference - ACC 2006 (Silver Anniversary)


2014 IEEE International Conference on Systems, Man and Cybernetics - SMC

SMC2014 targets advances in Systems Science and Engineering, Human-Machine Systems, and Cybernetics involving state-of-art technologies interacting with humans to provide an enriching experience and thereby improving the quality of lives including theories, methodologies, and emerging applications.

  • 2013 IEEE International Conference on Systems, Man and Cybernetics - SMC

    SMC 2013 targets advances in Systems Science and Engineering Human-machine Systems and Cybernetics involving state-of-the-art technologies interacting with humans to provide an enriching experience and thereby improving the quality of lives including theories, methodologies and emerging applications.

  • 2012 IEEE International Conference on Systems, Man and Cybernetics - SMC

    Theory, research and technology advances including applications in all aspects of systems science and engineering, human machine systems, and emerging cybernetics.

  • 2011 IEEE International Conference on Systems, Man and Cybernetics - SMC

    Theory, research, and technology advances including applications in all aspects of systems science and engineering, human machine systems, and emerging cybernetics.

  • 2010 IEEE International Conference on Systems, Man and Cybernetics - SMC

    The 2010 IEEE International Conference on Systems, Man, and Cybernetics (SMC2010) provides an international forum that brings together those actively involved in areas of interest to the IEEE Systems, Man, and Cybernetics Society, to report on up-to-the-minute innovations and developments, to summarize the state-of-the-art, and to exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics.

  • 2009 IEEE International Conference on Systems, Man and Cybernetics - SMC

    The 2009 IEEE International Conference on Systems, Man, and Cybernetics (SMC2009) provides an international forum that brings together those actively involved in areas of interest to the IEEE Systems, Man, and Cybernetics Society, to report on up-to-the-minute innovations and developments, to summarize the state-of-the-art, and to exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics.


2013 9th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM)

All areas related to wireless communications, network technologies, and mobile computing systems.


2013 IEEE 11th International Conference on Electronic Measurement & Instruments (ICEMI)

ICEMI is invited authors to submit original papers in any but not limited as following areas: Science Foundation of Instrument and Measurement Innovative Designing of Instrument and Test System Applications on Instrument and Testing Signal & Image Processing Sensor and Non-electric Measurement Communication and Network Test Systems Control Theory and Application Condition Monitoring, Fault Diagnosis and Prediction Other Relevant Theories and Technologies

  • 2011 IEEE 10th International Conference on Electronic Measurement & Instruments (ICEMI)

    ICEMI is the world s premier conference dedicated to the electronic test of devices, boards and systems covering the complete cycle from design verification, test, diagnosis, failure analysis and back to process and design improvement, and is convened every two years. The purpose of the ICEMI is to provide excellent opportunities for scientists, engineers, and participants throughout the world to present the latest research results and to exchange their views or experience.

  • 2009 9th International Conference on Electronic Measurement & Instruments (ICEMI 2009)

    Science Foundation of Instrument and Measurement Instrument, Measurement and Test Technology: Sensing Technology and Transducer Designing of Instrument and Test System Applications on Instrument and Testing: Communication and Network Test Systems Control Theory and Application

  • 2007 8th International Conference on Electronic Measurement & Instruments (ICEMI 2007)


2013 IEEE International Conference on Mechatronics and Automation (ICMA)

The objective of ICMA 2013 is to provide a forum for researchers, educators, engineers, and government officials involved in the general areas of mechatronics, robotics, automation and sensors to disseminate their latest research results and exchange views on the future research directions.


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Periodicals related to Medical diagnosis

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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.


Computers, IEEE Transactions on

Design and analysis of algorithms, computer systems, and digital networks; methods for specifying, measuring, and modeling the performance of computers and computer systems; design of computer components, such as arithmetic units, data storage devices, and interface devices; design of reliable and testable digital devices and systems; computer networks and distributed computer systems; new computer organizations and architectures; applications of VLSI ...


Information Technology in Biomedicine, IEEE Transactions on

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.


Medical Imaging, IEEE Transactions on

Imaging methods applied to living organisms with emphasis on innovative approaches that use emerging technologies supported by rigorous physical and mathematical analysis and quantitative evaluation of performance.




Xplore Articles related to Medical diagnosis

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Decision Trees for Probability Estimation: An Empirical Study

Han Liang; Harry Zhang; Yuhong Yan 2006 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'06), 2006

Accurate probability estimation generated by learning models is desirable in some practical applications, such as medical diagnosis. In this paper, we empirically study traditional decision-tree learning models and their variants in terms of probability estimation, measured by conditional log likelihood (CLL). Furthermore, we also compare decision tree learning with other kinds of representative learning: Naive Bayes, Naive Bayes tree, Bayesian ...


Ultrasound Osteoporosis Score: A novel parameter for the estimation of spine mineral density

Sergio Casciaro; Francesco Conversano; Paola Pisani; Ernesto Casciaro; Maurizio Muratore 2015 6th European Symposium on Ultrasonic Characterization of Bone, 2015

Aim of this work was to evaluate the effectiveness of a recently introduced ultrasound (US) parameter for the estimation of bone mineral density (BMD) of the lumbar spine, when extensively used in a clinical context to investigate adult women of variable body mass index (BMI). A total of 414 female patients (aged 51-60 years) underwent a spinal dual X-ray absorptiometry ...


Space power method for human heart diagnosis

T. Doi; S. Hayano; Y. Saito IEEE Transactions on Magnetics, 1995

Recently, it has been shown that medical diagnosis of the human heart may be reduced to searching for the defect positions of the electrical conducting path in the heart. Electrical conducting path searching in the human heart is one of the inverse source problems for which it is difficult to get unique solutions. The authors propose an approach to identifying ...


A New Method for Measuring Similarity between Intuitionistic Fuzzy Sets Based on Normal Distribution Functions

Zehua Lv; Chuanbo Chen; Wenhai Li Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007), 2007

This paper puts forward a new kind of similarity measure between intuitionistic fuzzy sets (IFSs) based on normal distribution functions. At first, we propose a method to express an intuitionistic fuzzy set by a series of normal distribution functions. Then, we use these normal distribution functions to calculate the degree of similarity between IFSs. The properties of the proposed similarity ...


An algorithm and simulation of the inverse problem of a low-frequency current field [in electrical impedance imaging]

Yin Liu; Lian Gong; Ping Liu; Keqian Zhang IEEE Transactions on Magnetics, 1990

A novel algorithm is obtained for solving the inverse problem of the low- frequency current field. This algorithm is obtained by using the theory of the generalized incremental linear function combined with the finite-element method. Using this approach, conductivity variations in the depth region can be found. The convergence is achieved quickly. A variety of regions in which conductivities vary ...


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Educational Resources on Medical diagnosis

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eLearning

Decision Trees for Probability Estimation: An Empirical Study

Han Liang; Harry Zhang; Yuhong Yan 2006 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'06), 2006

Accurate probability estimation generated by learning models is desirable in some practical applications, such as medical diagnosis. In this paper, we empirically study traditional decision-tree learning models and their variants in terms of probability estimation, measured by conditional log likelihood (CLL). Furthermore, we also compare decision tree learning with other kinds of representative learning: Naive Bayes, Naive Bayes tree, Bayesian ...


Ultrasound Osteoporosis Score: A novel parameter for the estimation of spine mineral density

Sergio Casciaro; Francesco Conversano; Paola Pisani; Ernesto Casciaro; Maurizio Muratore 2015 6th European Symposium on Ultrasonic Characterization of Bone, 2015

Aim of this work was to evaluate the effectiveness of a recently introduced ultrasound (US) parameter for the estimation of bone mineral density (BMD) of the lumbar spine, when extensively used in a clinical context to investigate adult women of variable body mass index (BMI). A total of 414 female patients (aged 51-60 years) underwent a spinal dual X-ray absorptiometry ...


Space power method for human heart diagnosis

T. Doi; S. Hayano; Y. Saito IEEE Transactions on Magnetics, 1995

Recently, it has been shown that medical diagnosis of the human heart may be reduced to searching for the defect positions of the electrical conducting path in the heart. Electrical conducting path searching in the human heart is one of the inverse source problems for which it is difficult to get unique solutions. The authors propose an approach to identifying ...


A New Method for Measuring Similarity between Intuitionistic Fuzzy Sets Based on Normal Distribution Functions

Zehua Lv; Chuanbo Chen; Wenhai Li Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007), 2007

This paper puts forward a new kind of similarity measure between intuitionistic fuzzy sets (IFSs) based on normal distribution functions. At first, we propose a method to express an intuitionistic fuzzy set by a series of normal distribution functions. Then, we use these normal distribution functions to calculate the degree of similarity between IFSs. The properties of the proposed similarity ...


An algorithm and simulation of the inverse problem of a low-frequency current field [in electrical impedance imaging]

Yin Liu; Lian Gong; Ping Liu; Keqian Zhang IEEE Transactions on Magnetics, 1990

A novel algorithm is obtained for solving the inverse problem of the low- frequency current field. This algorithm is obtained by using the theory of the generalized incremental linear function combined with the finite-element method. Using this approach, conductivity variations in the depth region can be found. The convergence is achieved quickly. A variety of regions in which conductivities vary ...


More eLearning Resources

IEEE-USA E-Books

  • Index

    This collection of essays by 12 members of the MIT staff, provides an inside report on the scope and expectations of current research in one of the world's major AI centers. The chapters on artificial intelligence, expert systems, vision, robotics, and natural language provide both a broad overview of current areas of activity and an assessment of the field at a time of great public interest and rapid technological progress.Contents: Artificial Intelligence (Patrick H. Winston and Karen Prendergast). KnowledgeBased Systems (Randall Davis). Expert-System Tools and Techniques (Peter Szolovits). Medical Diagnosis: Evolution of Systems Building Expertise (Ramesh S. Patil). Artificial Intelligence and Software Engineering (Charles Rich and Richard C. Waters). Intelligent Natural Language Processing (Robert C. Berwick). Automatic Speech Recognition and Understanding (Victor W. Zue). Robot Programming and Artificial Intelligence (Tomas Lozano-Perez). Robot Hands and Tactile Sensing (John M. Hollerbach). Intelligent Vision (Michael Brady). Making Robots See (W. Eric L. Grimson). Autonomous Mobile Robots (Rodney A. Brooks).W. Eric L. Grimson, author of From Images to Surfaces: A Computational Study of the Human Early Vision System (MIT Press 1981), and Ramesh S. Patil are both Assistant Professors in the Department of Electrical Engineering and Computer Science at MIT. AI in the 1980s and Beyond is included in the Artificial Intelligence Series, edited by Patrick H. Winston and Michael Brady.

  • Advanced Material-Based Sensing Structures

    This chapter presents research work the goal of which is to tackle all the subtle but essential problems that hinder the performance or even the realization of the vision of automatic and remote human vital signal extraction. In particular, the following are presented: (i) different designs of electromagnetic band gap structures for human-body-wearable antennas that help eliminate the effects of the lossy body, which are appropriate for any typical antenna, (ii) an advanced liquid ionic antenna that can be mounted on the human wrist based on the earlier finding that dielectric filled tubes become resonant at specific frequencies, (iii) inkjet-printed substrate- integrated waveguide prototypes, (iv) carbon-nanotube-based and graphene-based passive and very low-profile sensing structures for ammonia and other hazardous gas detection for medical diagnosis, and (v) wireless integrated modules including two ZigBee-based low-power.

  • Work and Play: A Discussion

    What is the bottom line on Artificial Intelligence? The AI Business offers a comprehensive summary of the commercial picture, present and future, for Artificial Intelligence in the computer industry, medicine, the oil industry, and electronic design. AI's brightest and best -- financiers, researchers, and users -- analyze current projects, speculate on trends in factory automation, compare research in Japan and the U.S., and note the pros and cons of investment opportunities.Contents: Expert Systems. Amplifying Expertise with Expert Systems, Randall Davis (MIT). XCON: An Expert Configuration System at Digital Equipment Corporation, Arnold Kraft (DEC). DIPMETER ADVISOR: An Expert Logo Analysis System at Schlumberger, James D. Baker (Schlumberger). CADUCEUS: An Experimental Expert System for Medical Diagnosis, Harry E. Pople, Jr. (University of Pittsburgh). The Low Road, the Middle Road, and the High Road, John Seely Brown (Xerox).Work and Play. Inventing the Future, Alan Kay (Atari). The Engineer's Apprentice, Aryeh Finegold (Daisy Systems Corporation). The Programmer's Apprentice, Charles Rich (MIT). Intelligent Advisory Systems, Roger Schank (Cognitive Systems, Inc. and Yale University). Natural Language Front Ends, Larry R. Harris (Artificial Intelligence Corporation).Robotics. Intelligent Robots: Connecting Perception to Action, ). Michael Brady (MIT). Intelligent Robots: Moving toward Megassembly, Philippe Villers (Automatix, Inc.). Intelligent Robots: Myth or Reality, Paul M. Russo (GE).Today and Tomorrow. The Problems and the Promise, Marvin Minsky (MIT). An Investment Opportunity? Frederick R. Adler (Adler & Company). Financing the Future, William H. Janeway (F. Eberstadt & Co., Inc.) From the Blocks World to the Business World, Patrick H. Winston and Karen A. Prendergast (MIT). How to Learn More.

  • Back Matter

    This collection of essays by 12 members of the MIT staff, provides an inside report on the scope and expectations of current research in one of the world's major AI centers. The chapters on artificial intelligence, expert systems, vision, robotics, and natural language provide both a broad overview of current areas of activity and an assessment of the field at a time of great public interest and rapid technological progress.Contents: Artificial Intelligence (Patrick H. Winston and Karen Prendergast). KnowledgeBased Systems (Randall Davis). Expert-System Tools and Techniques (Peter Szolovits). Medical Diagnosis: Evolution of Systems Building Expertise (Ramesh S. Patil). Artificial Intelligence and Software Engineering (Charles Rich and Richard C. Waters). Intelligent Natural Language Processing (Robert C. Berwick). Automatic Speech Recognition and Understanding (Victor W. Zue). Robot Programming and Artificial Intelligence (Tomas Lozano-Perez). Robot Hands and Tactile Sensing (John M. Hollerbach). Intelligent Vision (Michael Brady). Making Robots See (W. Eric L. Grimson). Autonomous Mobile Robots (Rodney A. Brooks).W. Eric L. Grimson, author of From Images to Surfaces: A Computational Study of the Human Early Vision System (MIT Press 1981), and Ramesh S. Patil are both Assistant Professors in the Department of Electrical Engineering and Computer Science at MIT. AI in the 1980s and Beyond is included in the Artificial Intelligence Series, edited by Patrick H. Winston and Michael Brady.

  • No title

    The recognition of humans and their activities from video sequences is currently a very active area of research because of its applications in video surveillance, design of realistic entertainment systems, multimedia communications, and medical diagnosis. In this lecture, we discuss the use of face and gait signatures for human identification and recognition of human activities from video sequences. We survey existing work and describe some of the more well-known methods in these areas. We also describe our own research and outline future possibilities. In the area of face recognition, we start with the traditional methods for image-based analysis and then describe some of the more recent developments related to the use of video sequences, 3D models, and techniques for representing variations of illumination. We note that the main challenge facing researchers in this area is the development of recognition strategies that are robust to changes due to pose, illumination, disguise, and a ing. Gait recognition is a more recent area of research in video understanding, although it has been studied for a long time in psychophysics and kinesiology. The goal for video scientists working in this area is to automatically extract the parameters for representation of human gait. We describe some of the techniques that have been developed for this purpose, most of which are appearance based. We also highlight the challenges involved in dealing with changes in viewpoint and propose methods based on image synthesis, visual hull, and 3D models. In the domain of human activity recognition, we present an extensive survey of various methods that have been developed in different disciplines like artificial intelligence, image processing, pattern recognition, and computer vision. We then outline our method for modeling complex activities using 2D and 3D deformable shape theory. The wide application of automatic human identification and activity recognition methods will require the fusio of different modalities like face and gait, dealing with the problems of pose and illumination variations, and accurate computation of 3D models. The last chapter of this lecture deals with these areas of future research.

  • Robotics

    What is the bottom line on Artificial Intelligence? The AI Business offers a comprehensive summary of the commercial picture, present and future, for Artificial Intelligence in the computer industry, medicine, the oil industry, and electronic design. AI's brightest and best -- financiers, researchers, and users -- analyze current projects, speculate on trends in factory automation, compare research in Japan and the U.S., and note the pros and cons of investment opportunities.Contents: Expert Systems. Amplifying Expertise with Expert Systems, Randall Davis (MIT). XCON: An Expert Configuration System at Digital Equipment Corporation, Arnold Kraft (DEC). DIPMETER ADVISOR: An Expert Logo Analysis System at Schlumberger, James D. Baker (Schlumberger). CADUCEUS: An Experimental Expert System for Medical Diagnosis, Harry E. Pople, Jr. (University of Pittsburgh). The Low Road, the Middle Road, and the High Road, John Seely Brown (Xerox).Work and Play. Inventing the Future, Alan Kay (Atari). The Engineer's Apprentice, Aryeh Finegold (Daisy Systems Corporation). The Programmer's Apprentice, Charles Rich (MIT). Intelligent Advisory Systems, Roger Schank (Cognitive Systems, Inc. and Yale University). Natural Language Front Ends, Larry R. Harris (Artificial Intelligence Corporation).Robotics. Intelligent Robots: Connecting Perception to Action, ). Michael Brady (MIT). Intelligent Robots: Moving toward Megassembly, Philippe Villers (Automatix, Inc.). Intelligent Robots: Myth or Reality, Paul M. Russo (GE).Today and Tomorrow. The Problems and the Promise, Marvin Minsky (MIT). An Investment Opportunity? Frederick R. Adler (Adler & Company). Financing the Future, William H. Janeway (F. Eberstadt & Co., Inc.) From the Blocks World to the Business World, Patrick H. Winston and Karen A. Prendergast (MIT). How to Learn More.

  • Robotics: A Discussion

    What is the bottom line on Artificial Intelligence? The AI Business offers a comprehensive summary of the commercial picture, present and future, for Artificial Intelligence in the computer industry, medicine, the oil industry, and electronic design. AI's brightest and best -- financiers, researchers, and users -- analyze current projects, speculate on trends in factory automation, compare research in Japan and the U.S., and note the pros and cons of investment opportunities.Contents: Expert Systems. Amplifying Expertise with Expert Systems, Randall Davis (MIT). XCON: An Expert Configuration System at Digital Equipment Corporation, Arnold Kraft (DEC). DIPMETER ADVISOR: An Expert Logo Analysis System at Schlumberger, James D. Baker (Schlumberger). CADUCEUS: An Experimental Expert System for Medical Diagnosis, Harry E. Pople, Jr. (University of Pittsburgh). The Low Road, the Middle Road, and the High Road, John Seely Brown (Xerox).Work and Play. Inventing the Future, Alan Kay (Atari). The Engineer's Apprentice, Aryeh Finegold (Daisy Systems Corporation). The Programmer's Apprentice, Charles Rich (MIT). Intelligent Advisory Systems, Roger Schank (Cognitive Systems, Inc. and Yale University). Natural Language Front Ends, Larry R. Harris (Artificial Intelligence Corporation).Robotics. Intelligent Robots: Connecting Perception to Action, ). Michael Brady (MIT). Intelligent Robots: Moving toward Megassembly, Philippe Villers (Automatix, Inc.). Intelligent Robots: Myth or Reality, Paul M. Russo (GE).Today and Tomorrow. The Problems and the Promise, Marvin Minsky (MIT). An Investment Opportunity? Frederick R. Adler (Adler & Company). Financing the Future, William H. Janeway (F. Eberstadt & Co., Inc.) From the Blocks World to the Business World, Patrick H. Winston and Karen A. Prendergast (MIT). How to Learn More.

  • How to Learn More

    What is the bottom line on Artificial Intelligence? The AI Business offers a comprehensive summary of the commercial picture, present and future, for Artificial Intelligence in the computer industry, medicine, the oil industry, and electronic design. AI's brightest and best -- financiers, researchers, and users -- analyze current projects, speculate on trends in factory automation, compare research in Japan and the U.S., and note the pros and cons of investment opportunities.Contents: Expert Systems. Amplifying Expertise with Expert Systems, Randall Davis (MIT). XCON: An Expert Configuration System at Digital Equipment Corporation, Arnold Kraft (DEC). DIPMETER ADVISOR: An Expert Logo Analysis System at Schlumberger, James D. Baker (Schlumberger). CADUCEUS: An Experimental Expert System for Medical Diagnosis, Harry E. Pople, Jr. (University of Pittsburgh). The Low Road, the Middle Road, and the High Road, John Seely Brown (Xerox).Work and Play. Inventing the Future, Alan Kay (Atari). The Engineer's Apprentice, Aryeh Finegold (Daisy Systems Corporation). The Programmer's Apprentice, Charles Rich (MIT). Intelligent Advisory Systems, Roger Schank (Cognitive Systems, Inc. and Yale University). Natural Language Front Ends, Larry R. Harris (Artificial Intelligence Corporation).Robotics. Intelligent Robots: Connecting Perception to Action, ). Michael Brady (MIT). Intelligent Robots: Moving toward Megassembly, Philippe Villers (Automatix, Inc.). Intelligent Robots: Myth or Reality, Paul M. Russo (GE).Today and Tomorrow. The Problems and the Promise, Marvin Minsky (MIT). An Investment Opportunity? Frederick R. Adler (Adler & Company). Financing the Future, William H. Janeway (F. Eberstadt & Co., Inc.) From the Blocks World to the Business World, Patrick H. Winston and Karen A. Prendergast (MIT). How to Learn More.

  • CADUCEUS: An Experimental Expert System for Medical Diagnosis

    This chapter contains sections titled: Critical Partnership, Deciding What to Decide, A Paradox, INTERNIST I, A Very Sick Woman, Iterating toward Answers, For More Information

  • Wavelets and Medical Imaging

    Brimming with top articles from experts in signal processing and biomedical engineering, Time Frequency and Wavelets in Biomedical Signal Processing introduces time-frequency, time-scale, wavelet transform methods, and their applications in biomedical signal processing. This edited volume incorporates the most recent developments in the field to illustrate thoroughly how the use of these time-frequency methods is currently improving the quality of medical diagnosis, including technologies for assessing pulmonary and respiratory conditions, EEGs, hearing aids, MRIs, mammograms, X rays, evoked potential signals analysis, neural networks applications, among other topics. Time Frequency and Wavelets in Biomedical Signal Processing will be of particular interest to signal processing engineers, biomedical engineers, and medical researchers. Topics covered include: Time-frequency analysis methods and biomedical applications Wavelets, wavelet packets, and matching pursuits and biomedical applications Wavelets and medical imaging Wavelets, neural networks, and fractals



Standards related to Medical diagnosis

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IEEE Standard for Testability and Diagnosability Characteristics and Metrics

This standard defines technology independent testability and diagnosability characteristics and metrics, particularly those based on relevant standard information models including standard AI-ESTATE (IEEE 1232.1 and P1232.3) information models.


Standard for Software Interface for Maintenance Information Collection and Analysis

The scope of the Standard Software Interface for Maintenance Information Collection and Analysis (SIMICA) is an implementation independent specification for a software interface to information systems containing data pertinent to the diagnosis and maintenance of complex systems consisting of hardware, software, or any combination thereof. These interfaces will support service definitions for creating application programming interfaces (API) for the access, ...



Jobs related to Medical diagnosis

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