Abstract—As an essential branch of context awareness, activity awareness, especially daily activity monitoring and fall detection, is important to healthcare for the elderly and patients with chronic diseases. In this paper, a framework for activity awareness using surface electromyography and accelerometer (ACC) signals is proposed. First, histogram negative entropy was employed to determine…
Abstract—The analysis and characterization of biomedical image data is a complex procedure involving several processing phases, such as data acquisition, preprocessing, segmentation, feature extraction, and classification. The proper combination and parameterization of the utilized methods are heavily relying on the given image dataset and experiment type. They may thus necessitate advanced i…
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—Minimally or noninvasive continuous glucose monitors estimate plasma glucose from compartments alternative to blood, and may revolutionize the management of diabetes. However, the accuracy of current devices is still poor and it may partly depend on low performance of the implemented calibration algorithm. Here, a new adaptive calibration algorithm based on a population local-model-b…
Abstract—In this paper, we present an autocontext model (ACM)-basedautomaticliversegmentationalgorithm,whichcombines ACM, multiatlases, and mean-shift techniques to segment liver from 3-D CT images. Our algorithm is a learning-based method and can be divided into two stages. At the first stage, i.e., the training stage, ACM is performed to learn a sequence of classifiers in each atlas space…
Abstract—Inrecentyears,wehavewitnessedarapidsurgeinassisted living technologies due to a rapidly aging society. The aging population,theincreasingcostofformalhealthcare,thecaregiver burden, and the importance that the individuals place on living independently,allmotivatedevelopmentofinnovative-assistedliving technologies for safe and independent aging. In this survey, we will summarize the em…
Abstract—The left ventricular assist device is a rotary mechanicalpumpthatisimplantedinpatientswithcongestiveheartfailure tohelptheleftventricleinpumpingbloodinthecirculatorysystem. However,usingsuchadevicemayresultinaverydangerousevent, called ventricular suction, that can cause ventricular collapse due to overpumping of blood from the left ventricle when the rotational speed of the pump is …
Abstract—Current clinical practice involves classification of biopsiedorresectedtumortissuebasedonahistopathologicalevaluation by a neuropathologist. In this paper, we propose a method for computer-aided histopathological evaluation using mass spectrometry imaging. Specifically, mass spectrometry imaging can be used to acquire the chemical composition of a tissue section and, hence, provide…
Abstract—This study presents applying recurrence quantificationanalysis(RQA)onEEGrecordingsandtheirsubbands:delta, theta,alpha,beta,andgammaforepilepticseizuredetection.RQA isadoptedsinceitdoesnotrequireassumptionsaboutstationarity, lengthofsignal,andnoise.ThedecompositionoftheoriginalEEG into its five constituent subbands helps better identification of the dynamical system of EEG signal. …
Abstract—This paper presents a wearable biopatch prototype for body surface potential measurement. It combines three key technologies,includingmixed-signalsystemonchip(SoC)technology, inkjet printing technology, and anisotropic conductive adhesive(ACA)bondingtechnology.Anintegralpartofthebiopatchisa low-powerlow-noiseSoC.TheSoCcontainsatunableanalogfront end, a successive approximation regist…
Abstract—In this paper, we propose a cascade-AdaBoostsupport vector machine (SVM) classifier to complete the triaxial accelerometer-basedfalldetectionmethod.Themethodusestheacceleration signals of daily activities of volunteers from a database and calculates feature values. By taking the feature values of a sliding window as an input vector, the cascade-AdaBoost-SVM algorithm can self-constr…