1,097 resources related to Clinical diagnosis
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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 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.
All areas of ionizing radiation detection - detectors, signal processing, analysis of results, PET development, PET results, medical imaging using ionizing radiation
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.
2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting
The joint meeting is intended to provide an international forum for the exchange of information on state of the art research in the area of antennas and propagation, electromagnetic engineering and radio science
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 ...
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.
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.
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; ...
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.
Electronic Health Record: Standards, Coding Systems, Frameworks, and Infrastructures, None
This chapter contains sections titled: * Introduction * openEHR Process Model * openEHR Architecture * Discussion * Conclusion * Bibliography ]]>
Proceedings. 1998 IEEE International Conference on Information Technology Applications in Biomedicine, ITAB '98 (Cat. No.98EX188), 1998
The field of healthcare information management has a bright future. Most health care organizations are investing heavily in this area and additional staffing will be required. Many obstacles remain, however. This is especially evident in the development of the electronic medical record. Some of these obstacles can be overcome by technology. For example, solutions are needed to facilitate data entry, ...
2018 Eleventh International Conference on Mobile Computing and Ubiquitous Network (ICMU), 2018
Patients often rely on a printed discharge summary for clinical information, post-discharge treatment, medications and other health activities, non- adherence to which may lead to readmission. With the active involvement of clinicians, medical informatics professionals and technical advisors a mobile prototype application has been designed and developed to provide a user- friendly presentation of clinical information aiming to increase the ...
LEOS 2000. 2000 IEEE Annual Meeting Conference Proceedings. 13th Annual Meeting. IEEE Lasers and Electro-Optics Society 2000 Annual Meeting (Cat. No.00CH37080), 2000
Summary form only given. Standard clinical diagnosis of oral cancer rely almost exclusively on the visual examination of tissue followed by pathological determinations of tissue biopsies collected from suspected lesions in the oral cavity and upper digestive-tract. The search for more accurate and less invasive method for rapid screening of epithelial tissue and early detection of malignant tissue transformation has ...
2009 Second International Conference on Intelligent Computation Technology and Automation, 2009
In this paper, the GVF snake model with the initial contour obtained by interactive method based on the adaptive threshold segmentation is proposed for the medical image segmentation. Firstly, input a line segment intersecting the desired object edge by user interaction. Find the max gradient magnitude where the cross-point is along the line segment. Then calculate the adaptive gray threshold ...
Panel: Unmet Needs in HIV/AIDS & TB Diagnosis & Management - IEEE EMBS at NIH, 2019
How Facial Analysis Technology Can Help Children with Genetic Disorders - IEEE Region 4 Technical Presentation
Developing POC Technology for Existing Health Care System - Sally McFall - IEEE EMBS at NIH, 2019
Implantable Wireless Medical Devices and Systems
Yulun Wang, 2017 IEEE Medal for Innovations in Healthcare Technology at VIC Summit-Part 2 of 2
Yulun Wang, 2017 IEEE Medal for Innovations in Healthcare Technology at VIC Summit-1 of 2
Creating a Culture of Welcoming Transformative Technologies in the Clinical Setting: The USC Neurorestoration Center Experience - IEEE Brain Workshop
Eliot Siegel - COVID-19, Deep Learning and Biomedical Imaging Panel
Photo Verification Technology for Radiology Images - Srini Tridandapani - IEEE EMBS at NIH, 2019
Multiple Sensor Fault Detection and Isolation in Complex Distributed Dynamical Systems
Clinical, Research, and Government Careers in Neurotechnology - IEEE Brain Workshop
Panel: Healthcare AI for the Clinical Environment - IEEE EMBS at NIH, 2019
Implementation of POC Testing in Healthcare - Nicole Tolan - IEEE EMBS at NIH, 2019
EMBC 2011 -Keynote (Women in Engineering Program) Re-engineering the War on Cancer: A Call to Action for Personalized Medicine -Mara G. Aspinall
ASC-2014 SQUIDs 50th Anniversary: 4 of 6 - Keiji Enpuku
Engineering in Medicine and Biology: Segment 3
Learning Method of the SIC Fuzzy Inference Model - Genki Ohashi - ICRC San Mateo, 2019
Life Sciences - Olaf Such, Philips Healthcare interview
Wiro Niessen - COVID-19, Deep Learning and Biomedical Imaging Panel
This chapter contains sections titled: * Introduction * openEHR Process Model * openEHR Architecture * Discussion * Conclusion * Bibliography ]]>
The field of healthcare information management has a bright future. Most health care organizations are investing heavily in this area and additional staffing will be required. Many obstacles remain, however. This is especially evident in the development of the electronic medical record. Some of these obstacles can be overcome by technology. For example, solutions are needed to facilitate data entry, to store and stage vast amounts of data, to facilitate the review of this data, and to provide online decision support. In order to succeed, we must make efficient use of our engineering and management talent.
Patients often rely on a printed discharge summary for clinical information, post-discharge treatment, medications and other health activities, non- adherence to which may lead to readmission. With the active involvement of clinicians, medical informatics professionals and technical advisors a mobile prototype application has been designed and developed to provide a user- friendly presentation of clinical information aiming to increase the adherence of medical advice. We conducted a task-based usability and accuracy test and found that the average accuracy was 97%, time taken for each task to complete was 7.5s (average) and the overall navigation was termed as `easy to understand' by the users.
Summary form only given. Standard clinical diagnosis of oral cancer rely almost exclusively on the visual examination of tissue followed by pathological determinations of tissue biopsies collected from suspected lesions in the oral cavity and upper digestive-tract. The search for more accurate and less invasive method for rapid screening of epithelial tissue and early detection of malignant tissue transformation has significant appeal. Ideally, a method that maintains the existing visualization approach but utilizing a more sensitive imaging capability, while simultaneously adding a quantitative aspect for non-invasive assessment of tissue, could prove to be an extremely powerful technique for early detection of epithelial neoplasia. We investigated the potential for combination of fluorescence spectroscopy and optical coherence tomography (OCT) imaging as a means to detect neoplastic changes in oral cavity tissues. Our goal was to demonstrate that the combined imaging modalities would improve our ability to detect early-stage neoplastic lesions that are not identifiable grossly non-invasively.
In this paper, the GVF snake model with the initial contour obtained by interactive method based on the adaptive threshold segmentation is proposed for the medical image segmentation. Firstly, input a line segment intersecting the desired object edge by user interaction. Find the max gradient magnitude where the cross-point is along the line segment. Then calculate the adaptive gray threshold and use growth algorithm to obtain the object area whose contour is the initial contour for the GVF model. Experiment shows that this algorithm can obtain the boundaries of the desired object from medical images quickly, accurately and reliably with little user interaction.
A large integrated cardiological database is operative in the authors' Department to collect and store clinical information of more than 50,000 patients. Character-based data are entered from 21 workstations of the network. EKG tracings are entered by RS232 connection and by image scanner. Mass storage of about 600 Mbyte per year is required. To maintain at least 10 years of an on-line documentation, a 10 Gbyte magneto-optical disk autochanger was added to the network one year ago. An original software manager (JBMan) was implemented to regulate data transfer, transparently to the end user. The new information produced daily is transferred at night-time by JBMan to optical disk. All available information for the patients booked for the next day is then restored. This allows at least 95% on-line routine work through direct access to the server hard disk. Unforeseen queries can cause an optical disk change to take place into the autochanger with 15 second delay for the operator. At present, more than 109,000 files are stored on optical disks. The system seems suitable for daily operation of a large cardiological database shared on-line on the network.<<ETX>>
Various statistical parameters have been tried for the computer-aided diagnosis of the liver fibrosis. The region of interest (ROI) for the liver and spleen parenchymas have been chosen, and the hepatolienal textural contrast for each ultrasound (US) image has been examined. The selectively chosen textural parameters are linearly combined with the pre-determined coefficients to give the computer-aided diagnostic parameter for the liver fibrosis, whose final stage is named as cirrhosis. From the comparison with the clinical diagnosis it is suggested that the proposed calculation scheme using the textural parameters show the quite promising classification performance for the computer-aided diagnosis of the liver cirrhosis.
Examines the real-time restoration of biomedical signals under additive noise. The observation of these signals is defined by a mathematical model. The authors propose a couple of restoration filters, composed of a series of these models. These filters restored band-limited approximations to their original signals in real-time. The authors introduced redundancy into the restoration filter to suppress the additive noise.
The purpose of this project was to design and implement a software application capable of operating in a mobile environment, By providing a biomedical engineering technician with a mobile data terminal, the following operational benefits can be realized: access to an accurate and active inventory of products and locations; the ability to upload and download a database of work requests; the ability to initiate and complete a work request on site. In addition, this tool will allow clinical engineering departments to become more productive and efficient by providing a conduit in which their technicians can meet and exceed established service levels for routine support, improve productivity, reduce the administrative time associated with paper-based systems, and provide more reliable and accurate data in a timely manner. The tools used for this project include Microsoft Visual Basic(R) 6.0 with a toolkit for Windows CE(R), Microsoft Access(R), Metrix(R) and Hewlett Packard handheld and palmtop devices. In addition to designing the software for the handheld platform, data must be transferred seamlessly between the handheld device and a host computer.
A practical method for extracting and enhancing a rhythmic waveform appearing in multi-channel electroencephalogram (EEQ) data is proposed. In order to facilitate clinical diagnosis and/or implement so-called brain computer interface (BCI), detecting the rhythmic activity from EEQ data recorded in a noisy environment is crucial; however, classical signal processing techniques like linear filtering or the Fourier transform cannot detect such a rhythmic signal if the power of noise is so large. This paper presents a simple but practical method for extracting a rhythmic signal by fully exploiting the multi-variate nature of EEQ data. The rhythmic component of interest is estimated as the weighted sum of multi-channel signals, and the optimal weights are then derived so as to maximize the power of the component. After the derivation is illustrated, adaptive weights, which give a new time- frequency analysis, are introduced. Moreover, the application to recently developed empirical mode decomposition (EMD) is presented. Experimental results on real EEQ data support the analysis.
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