Conferences related to Medical conditions

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2020 IEEE International Conference on Plasma Science (ICOPS)

IEEE International Conference on Plasma Science (ICOPS) is an annual conference coordinated by the Plasma Science and Application Committee (PSAC) of the IEEE Nuclear & Plasma Sciences Society.


2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)

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.


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.


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Periodicals related to Medical conditions

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Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


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 Reviews in

The IEEE Reviews in Biomedical Engineering will review the state-of-the-art and trends in the emerging field of biomedical engineering. This includes scholarly works, ranging from historic and modern development in biomedical engineering to the life sciences and medicine enabled by technologies covered by the various IEEE societies.


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.


Computational Biology and Bioinformatics, IEEE/ACM Transactions on

Specific topics of interest include, but are not limited to, sequence analysis, comparison and alignment methods; motif, gene and signal recognition; molecular evolution; phylogenetics and phylogenomics; determination or prediction of the structure of RNA and Protein in two and three dimensions; DNA twisting and folding; gene expression and gene regulatory networks; deduction of metabolic pathways; micro-array design and analysis; proteomics; ...


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Most published Xplore authors for Medical conditions

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Xplore Articles related to Medical conditions

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A computer-assisted spike detecting system using normalized method for epilepsy diagnosis

Proceedings of the Twenty-First Annual Hawaii International Conference on System Sciences, 1988. Vol.IV. Applications Track, 1988

A spike detection system has been developed using a pattern-recognition technique. The waves are processed by a 16-bit microcomputer, and only the waves that satisfy certain statistical conditions are detected as a spike. A normalized method is used to take care of fluctuations over time of amplitude, period, duration, etc. The accuracy of spike detection is 96%.<<ETX>>


Predicting User Participation and Detecting User Role Diffusion in Online Health Communities

2015 International Conference on Healthcare Informatics, 2015

Nowadays, healthcare issues draw people's attention globally. According to the report by the Pew Research Center [1], 35% of U.S. Adults have gone online particularly for information related to medical conditions. Besides getting information from healthcare professionals and friends, 24% of adults also sought information or support from peers who have the same health condition. A major venue where people ...


Computational Diagnostics: A Novel Approach to Viewing Medical Data

Fifth International Conference on Coordinated and Multiple Views in Exploratory Visualization (CMV 2007), 2007

A transition from traditional paper-based medical records to electronic health records is underway. The resulting massive amounts of electronic patient records offer tremendous potential to personalize patient diagnosis and treatment. In this paper, we discuss a computational diagnostics tool that uses digital medical records to help physicians gain better insight about a patient's medical condition. The paper details different interactive ...


Out of Touch : From audio recordings to phone apps to mattress sensors, noncontact systems offer a less cumbersome way to monitor sleep.

IEEE Pulse, 2014

The impact of poor and disrupted sleep on an individual is significant, affecting the quality of life physiologically, psychologically, and financially. It is estimated that a large population of people who suffer from sleep disorders is unaware of the condition and remains undiagnosed [1], creating a need (and desire) to self-monitor. However, sleep screening is generally cumbersome and complex, requiring ...


Wireless Sleep Measurement: Sensing sleep and breathing patterns using radio-frequency sensors.

IEEE Pulse, 2014

Despite the fact that we spend nearly one third of our lives asleep, surprisingly little was known about sleep until the 20th century. Now, sleep medicine is firmly established as a significant branch of medical practice, taking its roots strongly from the work of Nathaniel Kleitman and colleagues at the University of Chicago in the 1950s. They were the first ...


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Educational Resources on Medical conditions

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IEEE-USA E-Books

  • A computer-assisted spike detecting system using normalized method for epilepsy diagnosis

    A spike detection system has been developed using a pattern-recognition technique. The waves are processed by a 16-bit microcomputer, and only the waves that satisfy certain statistical conditions are detected as a spike. A normalized method is used to take care of fluctuations over time of amplitude, period, duration, etc. The accuracy of spike detection is 96%.<<ETX>>

  • Predicting User Participation and Detecting User Role Diffusion in Online Health Communities

    Nowadays, healthcare issues draw people's attention globally. According to the report by the Pew Research Center [1], 35% of U.S. Adults have gone online particularly for information related to medical conditions. Besides getting information from healthcare professionals and friends, 24% of adults also sought information or support from peers who have the same health condition. A major venue where people find such peers is Online Health Communities (OHCs), such as "Patientslikeme.com". Compared with traditional health-related websites that only allow users to retrieve information, OHCs increased members' ability to interact with peers facing similar health problems and, as a result, better meet their needs for social support. Literatures on social support suggest that OHCs mainly feature three types of social support: informational support, emotional support, and companionship (a.k.a., Network support) [2]. As social support is a pillar of OHCs, a natural question to ask would be: when it comes to users' participations, are a user's online activities in different types of social support related to her/his participation in an OHC? If so, can we predict whether a user will churn from an OHC based on these social support activities? Despite the large amount of research on social support in OHCs, few studies have answered this question systematically by examining users' seeking, receiving, and provision of various types of social support from large-scale datasets. In 2012, Wang [3] suggested that receiving more emotional support is associated with users' longer stay in an OHC. However, the types of social support investigated were limited and only the receiving of support was considered, while that providing social support is also important and beneficial. Analyzing large-scale data from an OHC, we combined various data analytics techniques, including text mining, survival analysis, and predictive modelling. We found that receiving more emotional support or contributing more companionship are positively correlated with users' longer involvement in OHCs. Our research described as well as predicted users' participation in OHCs from the perspective of online social support. At the same time, we identified several roles of users in an OHC and suggested that overall those who only seek social support are more likely to leave (i.e., "churn" from) an OHC. By analyzing their monthly behaviors in social support, we found that users' roles evolve over time. Moreover, we also found evidence for the diffusion of roles in the OHC social network -- a user tends to adopt the role that many of her network neighbors take. This is the first study to show that user roles related to social support are in fact "contagious" via social ties. The outcome of this research has implications for building and sustaining an active OHC.

  • Computational Diagnostics: A Novel Approach to Viewing Medical Data

    A transition from traditional paper-based medical records to electronic health records is underway. The resulting massive amounts of electronic patient records offer tremendous potential to personalize patient diagnosis and treatment. In this paper, we discuss a computational diagnostics tool that uses digital medical records to help physicians gain better insight about a patient's medical condition. The paper details different interactive features of the tool and discusses the tool's potential in the practice of evidence- based medicine and for advancing patient diagnosis practices.

  • Out of Touch : From audio recordings to phone apps to mattress sensors, noncontact systems offer a less cumbersome way to monitor sleep.

    The impact of poor and disrupted sleep on an individual is significant, affecting the quality of life physiologically, psychologically, and financially. It is estimated that a large population of people who suffer from sleep disorders is unaware of the condition and remains undiagnosed [1], creating a need (and desire) to self-monitor. However, sleep screening is generally cumbersome and complex, requiring multiple wearable sensors (and associated wires) and experts to interpret the large volumes of data.

  • Wireless Sleep Measurement: Sensing sleep and breathing patterns using radio-frequency sensors.

    Despite the fact that we spend nearly one third of our lives asleep, surprisingly little was known about sleep until the 20th century. Now, sleep medicine is firmly established as a significant branch of medical practice, taking its roots strongly from the work of Nathaniel Kleitman and colleagues at the University of Chicago in the 1950s. They were the first to show the existence of rapid eye movement (REM) sleep?commonly associated with ?dreaming?and began the process of opening our eyes to the complex physiological processes that occur during sleep.

  • Bone mineral density estimation from X-ray images

    Trabecular patterns appearing on conventional X-ray films contain rich information about the bone status. In this paper, we present a simple method, which provides a good estimation of bone mineral density (BMD) from conventional X-ray images. The method was developed by considering the microscopic mechanism of bone resorption and creation processes. The method was applied to the distal radius X-ray images. We found that the method provides good estimations of real BMD values of distal radius. The correlation coefficient between the method and the real BMD is about 0.92.

  • Wavelet Filter Evaluation for Extract Heart Rate of Infrared Plethysmograph Waveform

    In the past, we found that the left-alone patients were passively monitored with a video camera while under the computed tomography (CT) examinations. This doesn't guarantee a full observation of the patients' medical conditions. The heart rate (HR) alteration during the examination could reveal different physiologic conditions of the patients, according to many clinical reports. The standard pulse oximeter (SpO<sub>2</sub>) used to monitor the HR. It is usually difficult to obtain correct characteristics while extracting heart rate of the patients because the variation of waveforms caused by the moved of fingers and toes or bad connection of probes. We will discuss how to solve the extracting heart rate problems from raw plethysmograph waveform by using Wavelet filter. The result of our research shows the possibility.

  • Privacy preservation for attribute order sensitive workload in medical data publishing

    Privacy becomes a more serious concern in applications involving microdata such as medical data publishing or medical data mining. Anonymization methods based on global recording or local recording or clustering provide privacy protection by guaranteeing that each released record will be indistinguishable to some other individual. However, such methods may not always achieve effective anonymization in terms of analysis workload using the anonymized data. The utility of attributes has not been well considered in the previous methods. In this paper, we study the problem of utility-based anonymization to concentrate on attributes order sensitive workload, where the order of the attributes is important to the analysis workload. Based on the multidimensional anonymization concept, a method is discussed for attributes order sensitive utility-based anonymization. The performance study using public data sets shows that the efficiency is not affected by the attributes order processing.

  • Perceptually-adaptive color enhancement of still images for individuals with dichromacy

    Dichromacy is a medical condition in which a person is unable to distinguish all colors of the spectrum accurately due to the absence of one cone type within the retina of the eye. No known cure exists for dichromacy so techniques have been created to help improve color perception among affected individuals. This paper investigates a novel perceptually-adaptive technique for enhancing details within still images for persons suffering from dichromacy. A non-linear hue remapping is adaptively applied to the still images to improve color differentiation while preserving the aesthetics of the images. Simulations show that the enhanced images preserve visual detail and maintain the aesthetics of the original image.

  • Magnetic Tracking System: Monitoring Heart Valve Prostheses

    A magnetic tracking system for monitoring the performance and activity of mechanical heart valve prostheses has been developed. Physicians may find the system valuable in detecting thrombosis (blood clots), scar tissue, or other complications that may indicate life-threatening medical conditions, such as heart attacks, strokes, or aneurysms. In this paper, a disk-shaped NdFeB magnet comparable in size to the floating disk of a single-leaflet tilting disk valve was employed as a magnetic marker. The orientation of the marker was tracked using standard least-squares localization algorithms with data from two sets of three mutually orthogonal magnetic field sensors fixed in an imaging plane. The best fitting magnetic dipole moment of the magnetic marker was determined by 360 sensor measurements. The orientation of the magnet was analyzed by rotating the magnet about a single axis through a range of 90deg at three imaging planes (3-6 in. from the sensors). The results show that the estimation error between the physical measurements and field-based predictions of marker orientation is within 2deg over all the measured angles for distances up to 6 in. from the imaging plane. This finding suggests that with optimization, the motion of magnetized prosthetic heart valves can be determined with high accuracy by an array of magnetic field sensors placed on the surface of the skin.



Standards related to Medical conditions

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IEEE Standard for Safety Levels With Respect to Human Exposure to Electromagnetic Fields, 0-3 kHz

Develop safety levels for human exposure to electromagnetic fields from 0 to 3kHz. This standard will be based on the results of an evaluation of the relevant scientific literature and proven effects which are well established and for which thresholds of reaction are understood. Field limits will be derived from threshold current densities or internal electric fields.



Jobs related to Medical conditions

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