Conferences related to Biomedical monitoring

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2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

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


2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI 2020)

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 2020 will be the 17th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2020 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 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.

  • 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)

    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 2018 will be the 15th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2018 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)

    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 2017 will be the 14th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2017 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI 2016)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forumfor the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2016 willbe the thirteenth meeting in this series. The previous meetings have played a leading role in facilitatinginteraction between researchers in medical and biological imaging. The 2016 meeting will continue thistradition of fostering crossfertilization among different imaging communities and contributing to an integrativeapproach to biomedical imaging across all scales of observation.

  • 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI 2015)

    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 2015 will be the 12th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2014 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI 2014)

    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 2014 will be the eleventh meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2014 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2013 IEEE 10th International Symposium on Biomedical Imaging (ISBI 2013)

    To serve the biological, biomedical, bioengineering, bioimaging and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2012 IEEE 9th International Symposium on Biomedical Imaging (ISBI 2012)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2011 IEEE 8th International Symposium on Biomedical Imaging (ISBI 2011)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2010 IEEE 7th International Symposium on Biomedical Imaging (ISBI 2010)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2009 IEEE 6th International Symposium on Biomedical Imaging (ISBI 2009)

    Algorithmic, mathematical and computational aspects of biomedical imaging, from nano- to macroscale. Topics of interest include image formation and reconstruction, computational and statistical image processing and analysis, dynamic imaging, visualization, image quality assessment, and physical, biological and statistical modeling. Molecular, cellular, anatomical and functional imaging modalities and applications.

  • 2008 IEEE 5th International Symposium on Biomedical Imaging (ISBI 2008)

    Algorithmic, mathematical and computational aspects of biomedical imaging, from nano- to macroscale. Topics of interest include image formation and reconstruction, computational and statistical image processing and analysis, dynamic imaging, visualization, image quality assessment, and physical, biological and statistical modeling. Molecular, cellular, anatomical and functional imaging modalities and applications.

  • 2007 IEEE 4th International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2007)

  • 2006 IEEE 3rd International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2006)

  • 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2004)

  • 2002 1st IEEE International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2002)


2020 IEEE Frontiers in Education Conference (FIE)

The Frontiers in Education (FIE) Conference is a major international conference focusing on educational innovations and research in engineering and computing education. FIE 2019 continues a long tradition of disseminating results in engineering and computing education. It is an ideal forum for sharing ideas, learning about developments and interacting with colleagues inthese fields.


2020 IEEE International Conference on Image Processing (ICIP)

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.


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.


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Periodicals related to Biomedical monitoring

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Antennas and Propagation, IEEE Transactions on

Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.


Antennas and Wireless Propagation Letters, IEEE

IEEE Antennas and Wireless Propagation Letters (AWP Letters) will be devoted to the rapid electronic publication of short manuscripts in the technical areas of Antennas and Wireless Propagation.


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.


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Most published Xplore authors for Biomedical monitoring

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Xplore Articles related to Biomedical monitoring

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A Two-Class Approach to the Detection of Physiological Deterioration in Patient Vital Signs, With Clinical Label Refinement

IEEE Transactions on Information Technology in Biomedicine, 2012

Hospital patient outcomes can be improved by the early identification of physiological deterioration. Automatic methods of detecting patient deterioration in vital-sign data typically attempt to identify deviations from assumed “normal” physiological conditions, which is a one-class approach to classification. This paper investigates the use of a two-class approach, in which “abnormal” physiology is modeled explicitly. The success of such a ...


Can Fitness Trackers Help Diabetic and Obese Users Make and Sustain Lifestyle Changes?

Computer, 2017

Diabetic and obese users given a Fitbit fitness tracker for seven months identified the device's playfulness, practicality, persuasiveness, personalization, and privacy as the top motivators for its use. These results provide insights into designing wearable health monitors that are engaging enough to effect long-term change.


Electroencephalogram Based Detection of Deep Sedation in ICU Patients Using Atomic Decomposition

IEEE Transactions on Biomedical Engineering, 2018

Objective: This study was performed to evaluate how well states of deep sedation in 'CU patients can be detected from the frontal electroencephalogram (EEG) using features based on the method of atomic decomposition (AD). Methods: We analyzed a clinical dataset of 20 min of EEG recordings per patient from 44 mechanically ventilated adult patients receiving sedatives in an intensive care ...


Bridging e-Health and the Internet of Things: The SPHERE Project

IEEE Intelligent Systems, 2015

There's a widely known need to revise current forms of healthcare provision. Of particular interest are sensing systems in the home, which have been central to several studies. This article presents an overview of this rapidly growing body of work, as well as the implications for machine learning, with an aim of uncovering the gap between the state of the ...


Ongoing Hospital Innovation in the Developed World

IEEE Pulse, 2014

From London to Seoul, Austria to Australia, hospitals throughout the developed world have been hard at work streamlining information technology and automating their day-to-day operations to cut down on staff workloads, medical errors, and all the unnecessary complications of the modern hospital system. Even though much of the work remains in its earliest stages, positive effects are already rolling in ...


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Educational Resources on Biomedical monitoring

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IEEE-USA E-Books

  • A Two-Class Approach to the Detection of Physiological Deterioration in Patient Vital Signs, With Clinical Label Refinement

    Hospital patient outcomes can be improved by the early identification of physiological deterioration. Automatic methods of detecting patient deterioration in vital-sign data typically attempt to identify deviations from assumed “normal” physiological conditions, which is a one-class approach to classification. This paper investigates the use of a two-class approach, in which “abnormal” physiology is modeled explicitly. The success of such a method relies on the accuracy of data labels provided by clinical experts, which may be incomplete (due to large dataset size) or imprecise (due to clinical labels covering intervals, rather than each data point within those intervals). We propose a novel method of refining clinical labels such that the two-class classification approach may be adopted for identifying patient deterioration. We demonstrate the effectiveness of the proposed methods using a large dataset acquired in a 24-bed hospital step-down unit.

  • Can Fitness Trackers Help Diabetic and Obese Users Make and Sustain Lifestyle Changes?

    Diabetic and obese users given a Fitbit fitness tracker for seven months identified the device's playfulness, practicality, persuasiveness, personalization, and privacy as the top motivators for its use. These results provide insights into designing wearable health monitors that are engaging enough to effect long-term change.

  • Electroencephalogram Based Detection of Deep Sedation in ICU Patients Using Atomic Decomposition

    Objective: This study was performed to evaluate how well states of deep sedation in 'CU patients can be detected from the frontal electroencephalogram (EEG) using features based on the method of atomic decomposition (AD). Methods: We analyzed a clinical dataset of 20 min of EEG recordings per patient from 44 mechanically ventilated adult patients receiving sedatives in an intensive care unit ('CU) setting. Several features derived from AD of the EEG signal were used to discriminate between awake and sedated states. We trained support vector machine (SVM) classifiers using AD features and compared the classification performance with SVM classifiers trained using standard spectral and entropy features using leave-one-subject-out validation. The potential of each feature to discriminate between awake and sedated states was quantified using area under the receiver operating characteristic curve (AUC). Results: The sedation level classification system using AD was able to reliably discriminate between sedated and awake states achieving an average AUC of 0.90, which was significantly better (p <; 0.05) than performance achieved using spectral (AUC = 0.86) and entropy (AUC = 0.81) domain features. A combined feature set consisting of AD, entropy, and spectral features provided better discrimination (AUC = 0.91, p <; 0.05) than any individual feature set. Conclusions: Features derived from the atomic decomposition of EEG signals provide useful discriminative information about the depth of sedation in 'CU patients. Significance: With further refinement and external validation, the proposed system may be able to assist clinical staff with continuous surveillance of sedation levels in mechanically ventilated critically ill 'CU patients.

  • Bridging e-Health and the Internet of Things: The SPHERE Project

    There's a widely known need to revise current forms of healthcare provision. Of particular interest are sensing systems in the home, which have been central to several studies. This article presents an overview of this rapidly growing body of work, as well as the implications for machine learning, with an aim of uncovering the gap between the state of the art and the broad needs of healthcare services in ambient assisted living. Most approaches address specific healthcare concerns, which typically result in solutions that aren't able to support full-scale sensing and data analysis for a more generic healthcare service, but the approach in this article differs from seamlessly linking multimodel data-collecting infrastructure and data analytics together in an AAL platform. This article also outlines a multimodality sensor platform with heterogeneous network connectivity, which is under development in the sensor platform for healthcare in a residential environment (SPHERE) Interdisciplinary Research Collaboration (IRC).

  • Ongoing Hospital Innovation in the Developed World

    From London to Seoul, Austria to Australia, hospitals throughout the developed world have been hard at work streamlining information technology and automating their day-to-day operations to cut down on staff workloads, medical errors, and all the unnecessary complications of the modern hospital system. Even though much of the work remains in its earliest stages, positive effects are already rolling in as seen in the examples here.

  • A Remote Diagnosis Service Platform for Wearable ECG Monitors

    To provide real-time monitoring of cardiovascular patients' electrocardiogram data, the authors evaluate existing ECG monitors and diagnosis systems, and present a patient-location-independent and continuous ECG monitoring and diagnosis system.

  • Measurement technologies to sense "Users in the environment" for ambient assisted living

    Disability, such as visual impairment, is one of the most important causes of social marginalization. 285 million people worldwide are visually impaired, with 246 million suffering from severe sight insufficiency and 39 million already blind [1]. In Europe alone, about 30 million people suffer from severe sight loss, meaning that 1 in 30 persons are blind or partially sighted [2]. Major causes of visual impairment are related to uncorrected refractive errors, cataracts, and glaucoma [1]. Such alarming data give an idea of the enormous problem to be faced. In the past, disabled people were often considered a shame to the family. Today, thanks to cultural changes, that mentality has greatly changed. However, physically limited or handicapped individuals still experience discrimination and infringement of their rights on a daily basis at work, trying to find a job, or in going to a cafe, the supermarket, the hospital, etc. [3]. The best way to help disabled people in the developing world is to give them autonomy and independence and to provide them with a good education, e.g., vocational training, so they can retain their dignity as human beings and acquire the skills needed to lead a full life. This new life concept considers impaired individuals not as different people but as people with different capacities.

  • Generation smartphone

    It’s the year 2020 and newlyweds Tom and Sara are expecting their first child. Along with selecting the latest high-tech stroller, picking out a crib, and decorating the nursery, they download the “NewBorn” application suite to their universal communicator; they’re using what we’ll call a SmartPhone 20.0. Before the due date, they take the phone on a tour of the house, letting the phone’s sensors and machine-learning algorithms create light and sound “fingerprints” for each room. When they settle Tom Jr. down for his first nap at home, they place the SmartPhone 20.0 in his crib. Understanding that the crib is where the baby sleeps, the SmartPhone activates its sudden infant death syndrome (SIDS) application and uses its built-in microphone, accelerometers, and other sensors to monitor little Tommy’s heartbeat and respiration. The “Baby Position” app analyzes the live video stream to ensure that Tommy does not flip over onto his stomach’a position that the medical journals still report contributes to SIDS. Of course, best practices in child rearing seem to change quickly, but Tom and Sara aren’t too worried about that because the NewBorn application suite updates itself with the latest medical findings. To lull Tommy to sleep, the SmartPhone 20.0 plays music, testing out a variety of selections and learning by observation which music is most soothing for this particular infant. Generation Smartphone The smartphone’s role as constant companion, helper, coach, and guardian has only just begun.

  • IEE Colloquium on 'Monitoring in Obstetrics and Gynaecology' (Digest No.1993/243)

    None

  • Giving your body a "check engine" light

    In this paper, John Rogers and his research team at the University of Illinois have developed a way of building circuits that act like skin, collect power wirelessly, and can be worn just about anywhere on the body.



Standards related to Biomedical monitoring

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Health Informatics - Personal Health Device Communication - Part 10441: Device Specialization - Cardiovascular Fitness and Activity Monitor

Within the context of the ISO/IEEE 11073 family of standards for device communication, this standard establishes a normative definition of the communication between personal cardiovascular fitness and activity monitoring devices and managers (e.g. cell phones, personal computers, personal health appliances, set top boxes) in a manner that enables plug-and-play interoperability. It leverages appropriate portions of existing standards including ISO/IEEE 11073 ...



Jobs related to Biomedical monitoring

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