1,906 resources related to Cardiac disease
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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
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.
All areas of ionizing radiation detection - detectors, signal processing, analysis of results, PET development, PET results, medical imaging using ionizing radiation
IECON is focusing on industrial and manufacturing theory and applications of electronics, controls, communications, instrumentation and computational intelligence.
CAOL*2019 will provide a forum for scientists in a wide area of laser physics, optoelectronics, optics and photonics. The conference will cover wide frontiers in laser physics, photonics, nanotechnology, material physics, nonlinear optics and optical communications. Its characteristic feature is a stronger emphasis on the mathematical, physical and technological aspects of the problems in hand, together with detailed analysis of application problems. This year in the frame of CAOL we will organize two accompanying events, the Workshop on Data Science in Modern Optoelectronics and Laser Engineering and the Workshop “Measurement Uncertainty: Scientific, Standard, Applied and Methodical Aspects” (UM*2019). DSMOLE*2019 will be dedicated to problems arising from merging of modern optoelectronics and laser engineering with data science, artificial and computational intelligence. UM*2019 will cover cutting edge developments in metrology and adjacent fields.
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.
Physics, medicine, astronomy—these and other hard sciences share a common need for efficient algorithms, system software, and computer architecture to address large computational problems. And yet, useful advances in computational techniques that could benefit many researchers are rarely shared. To meet that need, Computing in Science & Engineering (CiSE) presents scientific and computational contributions in a clear and accessible format. ...
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.
Theory and applications of industrial electronics and control instrumentation science and engineering, including microprocessor control systems, high-power controls, process control, programmable controllers, numerical and program control systems, flow meters, and identification systems.
2008 5th International Conference on Electrical Engineering, Computing Science and Automatic Control, 2008
This paper describes the prototype for a portable system that records and analyses electrocardiography signals in real time. The purpose of the system is to monitor patients during normal activity to help physicians to diagnose the long QT syndrome and alerts the patient to prevent sudden death. The system consists of a recording system for three leads electrocardiography signals and ...
1996 IEEE Ultrasonics Symposium. Proceedings, 1996
Accurate coronary plaque characterisation by ultrasound would have a major impact on the management of cardiac patients. The aim of this study has been to develop radio-frequency analysis techniques for this purpose. Postmortem coronary arteries (n=5) were imaged with 30 MHz intravascular ultrasound (IVUS) and the raw signals digitised (f=250 MHz) at 11 sites. Spectral parameters were compiled from regions ...
IEEE Ultrasonics Symposium, 2005., 2005
IEEE Transactions on Biomedical Engineering, 1981
The applcation of the fast Fourier transform in the digital analysis of various biological signals in the frequency domain is well-known. In this paper a method is described for spectrum analysis of respiratory sound using the technique of fast Fourier transform. Results of the application of the method to respiratory sounds of six normal subjects and six tuberculosis patients are ...
Computers in Cardiology, 2003, 2003
The article emphasizes clinical and prognostic significance of non-linear measures of the heart rate variability (HRV). It was applied on the group of patients with stable coronary heart disease (CHD) and arterial hypertension (AH) before and after 6 months treatment by amlodipine besylate (5 mg daily). Two different methods were applied: Hurst exponent (H) and detrended fluctuation analysis (DFA). Hurst ...
EMBC 2011-Workshop-Nanobiomaterials-Rohin K. Iyer
Virtual World Symposium 2011 - Collaborative Work
Oral History: Earl Bakken
IEEE Life Sciences - Joseph M. Smith Interview
Tech News: IEEE and Nanotechnology
Keynote: Ian Craddock on the Internet of Things and Big Diseases - WF-IoT 2015
From THz imaging to millimeter-wave stimulation of neurons: Is there a killer application for high frequency RF in the medical community? (RFIC 2015 Keynote)
EMBC '09 - Advances in Neuro-rehabilitation
ASC-2014 SQUIDs 50th Anniversary: 4 of 6 - Keiji Enpuku
A Conversation with Danielle Bassett: IEEE TechEthics Interview
Q&A with Dr. Jennifer Gelinas: IEEE Brain Podcast, Episode 8
Contactless Wireless Sensing - Shyam Gollakota - IEEE EMBS at NIH, 2019
IEEE Magnetics 2014 Distinguished Lectures - Tim St Pierre
Lighting the Way: Optical Sensors in the Life Sciences
Emerging Technologies for the Control of Human Brain Dynamics: IEEE TechEthics Keynote with Danielle Bassett
Q&A with Sri Sarma: IEEE Brain Podcast, Episode 2
Larson Collection interview with Linus Pauling, part 2
EMBC 2011 -Keynote (Women in Engineering Program) Re-engineering the War on Cancer: A Call to Action for Personalized Medicine -Mara G. Aspinall
Implantable, Insertable and Wearable Micro-optical Devices for Early Detection of Cancer - Plenary Speaker, Christopher Contag - IPC 2018
This paper describes the prototype for a portable system that records and analyses electrocardiography signals in real time. The purpose of the system is to monitor patients during normal activity to help physicians to diagnose the long QT syndrome and alerts the patient to prevent sudden death. The system consists of a recording system for three leads electrocardiography signals and an algorithm implemented on a board based on a low power microcontroller. The system has been tested in non-pathologic subjects showing accurate values for the heart rate and QTc factor. The algorithm has also been tested satisfactory with created signals simulating pathologic and non- pathologic cases. It was also tested with 10 patients from a standard database showing satisfactory results except for signals where any of the characteristic waves of the ECG is not present. .
Accurate coronary plaque characterisation by ultrasound would have a major impact on the management of cardiac patients. The aim of this study has been to develop radio-frequency analysis techniques for this purpose. Postmortem coronary arteries (n=5) were imaged with 30 MHz intravascular ultrasound (IVUS) and the raw signals digitised (f=250 MHz) at 11 sites. Spectral parameters were compiled from regions of interest (ROIs=45) within areas of loose fibrotic tissue (DFT), moderate fibrotic tissue (MFT), dense fibrotic tissue (DFT) and calcium (CA), located using scan-converted representations of the data. Power spectra were normalised with respect to a perfect reflector and power- and frequency-related parameters were measured within the bandwidth 17-42 MHz. Significant discrimination between LFT/DFT and LFT/CA was given by maximum power and spectral slope (dB/MHz). The clearest discrimination was provided by the 0 Hz intercept of the spectral slope: LFT/DFT (p<.001); LFT/CA (p<.0001); DFT/CA (p<.1). In order to evaluate the predictive power of these measurements, parametric images were constructed to show the distribution of the plaque types as determined by each parameter.
The applcation of the fast Fourier transform in the digital analysis of various biological signals in the frequency domain is well-known. In this paper a method is described for spectrum analysis of respiratory sound using the technique of fast Fourier transform. Results of the application of the method to respiratory sounds of six normal subjects and six tuberculosis patients are presented. Such studies may well prove to be a promising noninvasive diagnostic tool for lung diseases and increase the clinical importance of lung auscultation.
The article emphasizes clinical and prognostic significance of non-linear measures of the heart rate variability (HRV). It was applied on the group of patients with stable coronary heart disease (CHD) and arterial hypertension (AH) before and after 6 months treatment by amlodipine besylate (5 mg daily). Two different methods were applied: Hurst exponent (H) and detrended fluctuation analysis (DFA). Hurst exponent of the R-R series was determined by the range rescaled analysis technique. DFA was used to quantify fractal long- range-correlation properties of heart rate variability. It was found that the short-term fractal scaling exponent (/spl alpha//sub 1/) is significantly lower in patients with CHD, as well as Hurst exponent. But, after 6 months treatment with calcium channel blocker amlodipine besylate the results of HRV are normalize.
The Chagas¿ disease is endemic in all Latin America, affecting millions of people in the continent. In order to diagnose and treat the Chagas¿ disease, it is important to detect and measure the coronary damage of the patient. In this paper, we analyze and categorize patients into different groups based on the coronary damage produced by the disease. Based on the features of the heart cycle extracted using high resolution ECG, a multi-class scheme of error-correcting output codes (ECOC) is formulated and successfully applied. The results show that the proposed scheme obtains significant performance improvements compared to previous works and state-of-the-art ECOC designs.
Analysis of heart rate variation (HRV) has become a popular noninvasive tool for assessing the activities of the autonomic nervous system (ANS). HRV analysis is based on the concept that fast fluctuations may specifically reflect changes of sympathetic and vagal activity. It shows that the structure generating the signal is not simply linear, but also involves nonlinear contributions. These signals are essentially non-stationary; may contain indicators of current disease, or even warnings about impending diseases. The indicators may be present at all times or may occur at random in the time scale. However, to study and pinpoint abnormalities in voluminous data collected over several hours is strenuous and time consuming. This paper presents the continuous time wavelet analysis of heart rate variability signal for disease identification. Phase space plots of heart rate signal for a chosen embedding dimension are compared with the wavelet analysis patterns
Presents some results of the experience of using computerised rhythmocardiography (RCG) apparatus and heart rate variability analysis. This method and its equipment is used in 28 hospitals of the Ural region. The RCG data is comprised of more than 15 thousand RCGs from patients with different forms of cardiovascular disease. The results of this study show that RCG with heart rhythm wave structure analysis using the presented computerised apparatus may be used in practical medicine for nonspecific diagnostics of cardiovascular pathology. This method can decrease nondiagnostic cases of cardiovascular diseases and their complications.
A unified induction learning algorithm is presented for clinical decision making. It depends on the rough set theory, and accepts the information system in tabular form. It deals with the uncertainty of clinical measurements and generates decision rules supported by reasoning. An example of successful application is given. The proposed inductive algorithm is particularly useful for reasoning from qualitative or imprecise data.<<ETX>>
Right ventricular hypertrophy (RVH) and RV dysfunction are difficult to evaluate due to the complex shape of the RV and prognostic limitations of conventional global function parameters. We used MRI with magnetization tagging to measure 2-D systolic motion and deformation of the right ventricular free wall (RVFW) and septum (SEPT) in 5 patients with RVH secondary to pulmonary hypertension, and 12 normal volunteers (NL). Regional displacement (D) and 2-D principal strains in the short-axis plane were averaged at basal, midventricular and apical levels. SEPT D was severely decreased at all levels in RVH vs. NL (P<0.005). In RVH, RVFW D was higher than SEPT D (P<0.02). The 2-D strains were reduced in SEPT at all levels in RVH vs. NL (P<0.05). This technique may permit the study of progression and regression of RVH in various disease states.
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