Abstract—Thedevelopmentofasystemfortheautomatic,objective, and reliable detection of cough events is a need underlined by the medical literature for years. The benefit of such a tool is clear as it would allow the assessment of pathology severity in chronic cough diseases. Even though some approaches have recently reportedsolutionsachievingthistaskwitharelativesuccess,thereis stillnostandard…
Abstract—A number of automated neonatal seizure detectors have been proposed in recent years. However, there exists a large variability in the morphology of seizure and background patterns, both across patients and over time. This has resulted in relatively poor performance from systems which have been tested over large datasets. Here, the benefits of employing a pattern recognition approach…
Abstract—In this paper, a method using higher order statistical moments of EEG signals calculated in the empirical mode decomposition (EMD) domain is proposed for detecting seizure and epilepsy. The appropriateness of these moments in distinguishing the EEG signals is investigated through an extensive analysis in the EMD domain. An artificial neural network is employed as the classifier of …
Abstract—Monitoring breath and identifying breathing movementshavesettledimportanceinmanybiomedicalresearchareas, especially in the treatment of those with breathing disorders, e.g., lungcancerpatients.Moreover,virtualreality(VR)revolutionand their implementations on ubiquitous hand-held devices have a lot ofimplications,whichcouldbeusedasasimulationtechnologyfor healing purposes. In this pap…
Abstract—Inordertoimprovethecorrectionaccuracyontongue colorsbyuseofaMunsellcolorchecker,thisresearchaimstodesign a new colorchecker by aid of tongue color space. Three essential issues leading to the development of this space-based colorchecker areelaboratelyinvestigatedinthisstudy.First,basedonalargeand comprehensive tongue database, tongue color space is established bywhichallvisiblecolors…
Abstract—Thispaperintroducesalow-complexityalgorithmfor the extraction of the fiducial points from the electrocardiogram (ECG). The application area we consider is that of remote cardiovascular monitoring, where continuous sensing and processingtakesplaceinlow-power,computationallyconstraineddevices, thusthepowerconsumptionandcomplexityoftheprocessingalgorithms should remain at a minimum lev…
Abstract—This paper describes an echocardiogram coding method that takes into account the visualization modes in order tocompressefficientlytheechocardiogram,amethodologytoevaluate compressed echocardiograms, and the evaluation of the compression method using the proposed evaluation methodology. The compressionmethodtakesadvantageoftheparticularcharacteristicsofeachvisualizationmodeandusesdi…
Abstract—Coronary heart disease (CHD) caused by hardening of artery walls due to cholesterol known as atherosclerosis is responsible for large number of deaths worldwide. The disease progression is slow, asymptomatic, and may lead to sudden cardiac arrest, stroke, or myocardial infraction. Presently, imaging techniques are being employed to understand the molecular and metabolic activity of a…
Abstract—Colonoscopy is the most popular screening tool for colorectal cancer. Recent studies reported that retroflexion during colonoscopy helped to detect more polyps. Retroflexion is an endoscope maneuver that enables visualization of internal mucosa along the shaft of the endoscope, enabling visualization of the mucosa area that is difficult to see with typical forward viewing. This pa…
Abstract—We propose a novel joint probabilistic model that correlates a new probabilistic shape model with the corresponding global intensity distribution to segment multiple abdominal organs simultaneously. Our probabilistic shape model estimates the probability of an individual voxel belonging to the estimated shape of the object. The probability density of the estimated shape is derived fr…
Abstract—In this paper, lossless and near-lossless compression algorithms for multichannel electroencephalogram (EEG) signals arepresentedbasedonimageandvolumetriccoding.Multichannel EEG signals have significant correlation among spatially adjacent channels; moreover, EEG signals are also correlated across time. Suitable representations are proposed to utilize those correlations effectively.…