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2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
FUZZ-IEEE 2021 will represent a unique meeting point for scientists and engineers, both from academia and industry, to interact and discuss the latest enhancements and innovations in the field. The topics of the conference will cover all the aspects of theory and applications of fuzzy sets, fuzzy logic and associated approaches (e.g. aggregation operators such as the Fuzzy Integral), as well as their hybridizations with other artificial and computational intelligence techniques.
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.
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.
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.
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 ...
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.
Telephone, telegraphy, facsimile, and point-to-point television, by electromagnetic propagation, including radio; wire; aerial, underground, coaxial, and submarine cables; waveguides, communication satellites, and lasers; in marine, aeronautical, space and fixed station services; repeaters, radio relaying, signal storage, and regeneration; telecommunication error detection and correction; multiplexing and carrier techniques; communication switching systems; data communications; and communication theory. In addition to the above, ...
Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed technical content that covers all aspects of computer science, computer engineering, technology, and applications. Computer is a resource that practitioners, researchers, and managers can rely on to provide timely information about current research developments, trends, best practices, and changes in the profession.
IEEE Computer Graphics and Applications (CG&A) bridges the theory and practice of computer graphics. From specific algorithms to full system implementations, CG&A offers a strong combination of peer-reviewed feature articles and refereed departments, including news and product announcements. Special Applications sidebars relate research stories to commercial development. Cover stories focus on creative applications of the technology by an artist or ...
2017 International Conference on Fuzzy Theory and Its Applications (iFUZZY), 2017
This study proposes an improved template-matching method which can automatically update the normal template heartbeats with the change in heart rate, and compare the input heartbeats with the template to detect abnormal heartbeats in real time. If an input heartbeat has a cross-correlation coefficient of less than 0.6 or a mean-square difference larger than 1.0 in comparison with the template, ...
2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), 2017
Sudden cardiac death is one among the category of natural deaths due to cardiac causes. The symptoms of death arise almost one hour or several minutes prior to the incidence. The onset of symptoms is called sudden cardiac arrest. It may appear due to prior unhealthy state of heart or sometimes without any known cardiac cause. Worldwide, the researchers and ...
2017 Computing in Cardiology (CinC), 2017
Cardiac alternans may lead to life-threatening arrhythmias or sudden cardiac death. Thus, finding an effective method to suppress alternans is crucial. In this paper, we demonstrate that the time needed to control cardiac alternans induced by rapid pacing using the T+T-feedback control can be dramatically shortened if the extracellular calcium concentration is lowered by a very small amount when the ...
2017 Computing in Cardiology (CinC), 2017
Accurate cardiac risk stratification is crucial for preventing cardiac death, but still remains an unmet need. Mechanical alternans (MA), an oscillation of blood pressure that occurs on a beat-to-beat basis, has been recognized as a marker of cardiac instability and is associated with an increased risk of cardiac death. However, the use of MA for risk stratification is currently limited ...
2017 Computing in Cardiology (CinC), 2017
An index of T-wave morphology restitution, TMR, has previously shown to be a sudden cardiac death (SCD) predictor in a population of chronic heart failure (CHF) patients. The aim of this study is to compare the predictive value of TMR, T-wave width restitution (TWR), T-peak-to-end (Tpe) morphology restitution (TpeMR) and Tpe duration restitution (TpeR) indices in the same CHF population. ...
Larson Collection interview with Chauncey Starr
Awareness and Prevention of Electrical Accidents (in Telugu with English subtitles)
ISEC 2013 Special Gordon Donaldson Session: Remembering Gordon Donaldson - 1 of 7 - Gordon Donaldson: A Memory - part I - John Clarke
Larson Collection interview with Alvin Weinberg
Larson Collection interview with Mark Oliphant
ISEC 2013 Special Gordon Donaldson Session: Remembering Gordon Donaldson - 2 of 7 - Gordon Donaldson: A Memory - part II - Colin Pegrum
This study proposes an improved template-matching method which can automatically update the normal template heartbeats with the change in heart rate, and compare the input heartbeats with the template to detect abnormal heartbeats in real time. If an input heartbeat has a cross-correlation coefficient of less than 0.6 or a mean-square difference larger than 1.0 in comparison with the template, it is identified as abnormal. The study results show that if the normal template is not updated with the heart rate, normal heartbeats may be misjudged as abnormal when exercise changes the heart rate and heartbeat waveforms. The results also demonstrate that the proposed method can accurately identify abnormal heartbeats of ventricular fibrillation (VF) and ventricular tachycardia (VT) using ECG records 426 and 607 from the Malignant Ventricular Arrhythmia Database.
Sudden cardiac death is one among the category of natural deaths due to cardiac causes. The symptoms of death arise almost one hour or several minutes prior to the incidence. The onset of symptoms is called sudden cardiac arrest. It may appear due to prior unhealthy state of heart or sometimes without any known cardiac cause. Worldwide, the researchers and physiologists are facing challenge and publishing all possible solutions to predict the sudden cardiac death at an early stage. Recently the heart rate variability (HRV) and all its possible parameters classified with different classifiers like k-nearest neighbor (k-NN), support vector machine (SVM), multi-layer perceptron (MLP) etc. are used extensively for the prediction of SCD. But clinical applications of such methods are still questionable due to false detection of QRS peaks in ECG signals for SCD patients. An attempt has been made in this paper to predict sudden cardiac death at an early stage i.e. one hour prior to its occurrence using heart rate variability analysis. The ECG signals are taken from online database for normal sinus rhythm (healthy subject) and sudden cardiac death (SCD subject). Different derived measures of HRV classified with k-NN classifier strongly confirm the prediction of SCD at such an advanced stage. For clinical applications of such methods, an effect of incorrect detection of QRS peaks on heart rate (beats per minute, BPM) is significantly considered and presented here.
Cardiac alternans may lead to life-threatening arrhythmias or sudden cardiac death. Thus, finding an effective method to suppress alternans is crucial. In this paper, we demonstrate that the time needed to control cardiac alternans induced by rapid pacing using the T+T-feedback control can be dramatically shortened if the extracellular calcium concentration is lowered by a very small amount when the control is turned on. Numerical simulations are performed on the Hund-Rudy dynamic (HRd) model for single cell. Since controlling alternans is important as it can be a precursor of sudden cardiac death, the results of our research may have important clinical implications and will lead to the development of a better control scheme for alternans or a smart defibrillator.
Accurate cardiac risk stratification is crucial for preventing cardiac death, but still remains an unmet need. Mechanical alternans (MA), an oscillation of blood pressure that occurs on a beat-to-beat basis, has been recognized as a marker of cardiac instability and is associated with an increased risk of cardiac death. However, the use of MA for risk stratification is currently limited by the invasiveness and costs of continuous blood pressure monitoring. A non-invasive, cuffless and affordable method to detect MA is therefore highly desirable. The pulse transit time (PTT) and the pulse arrival time (PAT) are promising techniques for continuous blood pressure monitoring, particularly for detecting short-term blood pressure changes. In this work, we hypothesized that PAT, measured as the interval between the R-wave in the ECG and a distal arterial pulse, can be used to accurately track fast beat-to-beat blood pressure dynamics and detect MA. A total of 42 ECG and femoral arterial pressure recordings from 12 patients with normal ventricles were analyzed. Patients were instructed to breath at a fixed respiratory rate and MA was induced by ventricular pacing. Both MA and PAT alternans were detected using spectral analysis. MA was present in 69% of blood pressure recordings (n=29). ROC analysis showed that PAT accurately detected MA, with an area under the curve was equal to AUC = 0.94. The optimal threshold for detecting MA by using PAT provided 90% sensitivity and 85% specificity. In conclusion, this study demonstrates that PAT can be used to accurately detect pacing-induced MA and may represent a first step toward non-invasive, cuff-less and affordable MA screening for cardiac risk assessment.
An index of T-wave morphology restitution, TMR, has previously shown to be a sudden cardiac death (SCD) predictor in a population of chronic heart failure (CHF) patients. The aim of this study is to compare the predictive value of TMR, T-wave width restitution (TWR), T-peak-to-end (Tpe) morphology restitution (TpeMR) and Tpe duration restitution (TpeR) indices in the same CHF population. Holter ECG recordings from 651 CHF patients of the MUSIC study, including SCD victims and survivors, were analyzed. TMR was significantly correlated with TWR (ρ=0.66), TpeMR (ρ=0.70) and TpeR (ρ=0.42). SCD victims showed significantly higher values of TMR, TWR and TpeMR than the rest of patients, with TMR being the index most strongly associated with SCD (p=0.002, p=0.006 and p=0.011, respectively). TpeR values were only borderline significantly higher in SCD victims (p=0.061). Univariate Cox analysis showed that TMR was the restitution index with the strongest predictive value (hazard ratio (HR) of 1.466, p<;0.001), followed by TWR (HR of 1.295, p=0.005), TpeR (HR of 1.297, p=0.004) and TpeMR (HR of 1.164, p=0.020). In conclusion, considering the predictive value of the four T-wave restitution indices, TMR is the preferred index for SCD risk stratification, followed by TpeMR. However, the marker TWR could also be used for SCD prediction when computational efficiency is an issue.
Nowadays, Sudden Infant Death Syndrome (SIDS) is one of the causes of infant mortality that have been taken seriously. This is due to the baby is having difficulty in breathing while in prone position sleeping. Moreover, this mostly occurs during the unsupervised period especially at night when both parents are sleeping. Moreover, accidentally suffocation strangulation in bed (ASSB) is another cause that needs to look into seriously. Therefore, an effective sudden infant death syndrome baby alert system must be developed to curb and shorten respond time to save the baby from drowning. This paper proposes a conceptual framework with two (2) stages that consist of monitoring the body orientation of the baby as well as the heart rate of the baby, send the immediate alert to parents. By having an effective real-time SIDS baby alert system, fast response can be carried out in order to save the baby and raise awareness about the dangers of SIDS towards Malaysians' parents.
This article discusses the circuits, systems, and technologies that can be put together to design an electronic-vest that is capable of recognizing a cardiac event and alerting emergency services personnel. The discussion includes state-of-the-art in electronic textiles, analog/radio-frequency circuits, flexible antenna design, sensor design, signal processing, and fault tolerant and dynamic reconfiguration of sensors and processing components. Preliminary design, analysis, and prototyping issues are discussed to demonstrate the feasibility of implementing the technologies.
More than 80% of emergency patients succumb to cardiac related including Sudden Cardiac Deaths (SCD) in Pakistan whereas the global deaths due to SCD are 30-40% of total deaths. T-wave alternans refer to variation in amplitude, phase or wave shape in alternating T waves in ECG signals and has been linked with the SCD and ventricular arrhythmia. TWA detection is still a challenge as in many cases amplitude of TWA is well below indispensable process noises. Empirical mode decomposition (EMD) is a empirical signal processing technique employed as noise removal tool for nonlinear and non-stationary TWA signals. Recently very matured and developed least square techniques have been employed for the detection of TWA, which were previously not explored as considered limited practicability. Least square works in time domain and better for the non-stationary TWA signals that gives the technique an edge over the other techniques that assume stationary nature of the signals. Least square with higher order polynomial curve fitting has been recently explored as a promising TWA estimation technique for risk stratification of SCD. In this paper we are presenting a novel EMD based least square T-wave alternans estimation scheme which outperforms estimation in 10-40 dB Gaussian noise. The performance comparison of the technique with bench mark modified moving average method (MMAM) for TWA estimation confirms the enhanced performance for the various practical scenarios of TWA.
Sudden cardiac death (SCD) is a disease that can be regarded as one of the principal death causes in the society. Hence, if the SCD event can be predicted in the earliest stage possible, it will allow saving people lives because they will receive timely medical procedures. In this paper, a methodology to predict SCD of an automatic manner using ECG signals, fractal dimension (FD), and artificial neural networks is presented. Three FD methods are investigated, Higuchi fractal dimension, Box dimension, and Katz fractal dimension. The effectiveness of the proposed methodology for predicting a SCD event is demonstrated using a database of 38 patients, 20 with SCD and 18 normal, provided by MIT-BIH (Boston's Beth Israel Hospital). The results show an accuracy of 91.4% 14 minutes prior to SCD event.
Objective: Atrial fibrillation (AF) rhythm gives rise to an irregular response in ventricular activity, preventing the use of standard ECG-derived risk markers based on ventricular repolarization heterogeneity under this particular condition. In this study we proposed new indices to quantify repolarization variations in AF patients, assessing their stratification performance in a chronic heart failure (CHF) population with AF. Methods: We developed a method based on a selective bin averaging technique. Consecutive beats preceded by a similar RR interval were selected, from which the average variation within the ST-T complex for each RR range was computed.We proposed two sets of indices: (i) the 2-beat index of ventricular repolarization variation, (I_V2), computed from pairs of stable consecutive beats; and (ii) the 3-beat indices of ventricular repolarization variation, computed in triplets of stable consecutive beats (I_V3). Results: These indices showed a significant association with sudden cardiac death (SCD) outcome in the study population. In addition, risk assessment based on the combination of the proposed indices improved stratification performance compared to their individual potential. Conclusion: Patients with enhanced ventricular repolarization variation computed in terms of the proposed indices were successfully associated to a higher SCD incidence in our study population, evidencing their prognostic value. Significance: using a simple ambulatory ECG recording, it is possible to stratify AF patients at risk of SCD, which may help cardiologists in adopting most effective therapeutic strategies, with a positive impact in both the patient and healthcare systems.
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