1,586 resources related to Cardiovascular diseases
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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 International Symposium on Circuits and Systems (ISCAS)
The International Symposium on Circuits and Systems (ISCAS) is the flagship conference of the IEEE Circuits and Systems (CAS) Society and the world’s premier networking and exchange forum for researchers in the highly active fields of theory, design and implementation of circuits and systems. ISCAS2020 focuses on the deployment of CASS knowledge towards Society Grand Challenges and highlights the strong foundation in methodology and the integration of multidisciplinary approaches which are the distinctive features of CAS contributions. The worldwide CAS community is exploiting such CASS knowledge to change the way in which devices and circuits are understood, optimized, and leveraged in a variety of systems and applications.
All areas of ionizing radiation detection - detectors, signal processing, analysis of results, PET development, PET results, medical imaging using ionizing radiation
The ICASSP meeting is the world's largest and most comprehensive technical conference focused on signal processing and its applications. The conference will feature world-class speakers, tutorials, exhibits, and over 50 lecture and poster sessions.
IECON is focusing on industrial and manufacturing theory and applications of electronics, controls, communications, instrumentation and computational intelligence.
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.
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.
2011 Computing in Cardiology, 2011
An algorithm to determine quality of ECGs can enable inexperienced nurses and paramedics to record ECGs of sufficient diagnostic quality. We propose an algorithm that can assess the quality of an ECG designed for an Android-based platform. The algorithm is based on previously established ECG quality metrics for quantifying ECG quality but designed in a way to make it efficient ...
2008 International Conference on Electrical and Computer Engineering, 2008
The high prevalence of obstructive sleep apnoea (OSA) requires a simplified, unattended screening device that would be useful for diagnosis at the early stage. This study presents a method for screening individual OSA event based on sleep ECG signal. The overnight ECG recordings were divided into 5-second epochs containing normal (N) breathing and onset (O), maximum (M) & termination (T) ...
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 ...
Q&A with Chris Berka: IEEE Brain Podcast, Episode 9
Keynote: Ian Craddock on the Internet of Things and Big Diseases - WF-IoT 2015
Ted Berger: Far Futures Panel - Technologies for Increasing Human Memory - TTM 2018
EMBC 2011-Keynote Lectures and Panel Discussion-PT I-Subra Suresh
Molecular Diagnostics for STIs - Gary Schoolnik - IEEE EMBS at NIH, 2019
Paper & Microfluidic Systems for Infectious Disease Diagnostics - Catherine Klapperich - IEEE EMBS at NIH, 2019
Honors 2020: Mark S. Humayun Wins the IEEE Medal for Innovations in Healthcare Technology
Q&A with Dr. Elisa Konofagou: IEEE Brain Podcast, Episode 10
Panel: Integrating POC Testing for HLBS Diseases into Clinical Care - IEEE EMBS at NIH, 2019
Q&A with Sri Sarma: IEEE Brain Podcast, Episode 2
Applying Control Theory to the Design of Cancer Therapy
IMS 2015: Robert H. Caverly - Aspects of Magnetic Resonance Imaging
IEEE Magnetics 2014 Distinguished Lectures - Tim St Pierre
Considerations for Adoption of POC for STI - Barbara Van Der Pol - IEEE EMBS at NIH, 2019
Implantable Wireless Medical Devices and Systems
Brave New Brain-Tech | IEEE TechEthics Panel
An algorithm to determine quality of ECGs can enable inexperienced nurses and paramedics to record ECGs of sufficient diagnostic quality. We propose an algorithm that can assess the quality of an ECG designed for an Android-based platform. The algorithm is based on previously established ECG quality metrics for quantifying ECG quality but designed in a way to make it efficient to run on a mobile platform. Using the training data set the proposed algorithm obtained a sensitivity of 91% and a specificity of 85%. Testing against the test data sets, resulted in a score of 0.88 (events 1 and 2) and 0.79 (events 3). The proposed algorithm discriminates between ECGs of good and bad quality, which could help diagnose patients earlier and reduce associated treatment costs.
The high prevalence of obstructive sleep apnoea (OSA) requires a simplified, unattended screening device that would be useful for diagnosis at the early stage. This study presents a method for screening individual OSA event based on sleep ECG signal. The overnight ECG recordings were divided into 5-second epochs containing normal (N) breathing and onset (O), maximum (M) & termination (T) of OSA events. Power spectral analysis of ECG epochs was employed to extract features. The area under receiver operating characteristics curve was estimated to determine the discrimination capability of each feature (or power in each frequency bin). The maximum ROC areas for N/O, N/M and N/T were found to be 0.78, 0.81,0.71 in the ranges of powers of 57-65 Hz, 52-72 Hz, 52-66 Hz bands respectively. An heuristic rule was applied to recognize the individual OSA events from spectral features of N,O,M,T epochs. Results show good agreement with the original annotations in an overnight sleep study. These results, therefore, could have considerable potential in ECG based screening and can aid sleep specialist in the assessment of patients with suspected sleep apnoea syndrome.
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.
In the past few years a number of algorithms for cardiovascular risk stratification have been proposed to the medical community but a big question has been remained unsolved: From among alternative sets of cardiac risk factors which ones are more significant in cardiac risk stratification? In this paper a hybrid neuro-fuzzy classifier, IRIDIA Method for Neuro-fuzzy Identification and Data Analysis, was applied to determine the cardiac risk stratification. Using the obtained neuro-fuzzy model, sensitivity analysis of cardiac risk factors was derived to sort out cardiac risk factors according their significance - which factor has great effect on cardiac risk.
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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