Abstract—In this paper, we present the design and development of a pervasive health system enabling self-management of chronic patients during their everyday activities. The proposed system integrates patient health monitoring, status logging for capturing various problems or symptoms met, and social sharing of the recorded information within the patient’s community, aiming to facilitate di…
Abstract—The challenge for fast and low-cost deployment of ubiquitous personalized e-Health services has prompted us to propose a new framework architecture for such services. We have studied the operational features and the environment of e-Health services and we led to a framework structure that extends the European Telecommunications Standards Institute (ETSI)/Parlay architecture, which is…
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—Sleep onset latency (SOL) is an objective indicator of sleepiness and is being used clinically as a diagnostic tool for sleep deprivation.Thisstudyproposesanewandlessintrusiveapproach toestimateSOLbasedonthebloodpressure(BP)regulatoryreflex mechanism.Wehypothesizedthatthearterialbaroreflex,onekind of reflex mechanism for BP regulation, maintains the toning-down effect sleep has on…
Abstract—A method for the classification of finger movements for dexterous control of prosthetic hands is proposed. Previous research was mainly devoted to identify hand movements as these actionsgeneratestrongelectromyography(EMG)signalsrecorded from the forearm. In contrast, in this paper, we assess the use of multichannel surface electromyography (sEMG) to classify individual and combine…
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—The aim of this paper is to detail the development of a novel tracking framework that is able to extract the cell motility indicators and to determine the cellular division (mitosis) events in large time-lapse phase-contrast image sequences. To address the challenges induced by nonstructured (random) motion, cellular agglomeration, and cellular mitosis, the process of automatic (unsu…
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…
Abstract—Elasticity is an important indicator of tissue health, with increased stiffness pointing to an increased risk of cancer. We investigated a tissue inclusion characterization method for the applicationofearlybreasttumoridentification.Atactilesensation imagingsystem(TSIS)isdevelopedtocaptureimagesoftheembeddedlesionsusingtotalinternalreflectionprinciple.Fromtactileimages,wedevelopedan…
Abstract—In order to understand the brain, we need to first understand the morphology of neurons. In the neurobiology community, there have been recent pushes to analyze both neuron connectivity and the influence of structure on function. Currently, a technical roadblock that stands in the way of these studies is the inability to automatically trace neuronal structure from microscopy. On th…
Abstract—We investigate the use of fractal analysis (FA) as the basis of a system for multiclass prediction of the progression of glaucoma. FA is applied to pseudo 2-D images converted from 1-D retinal nerve fiber layer data obtained from the eyes of normal subjects, and from subjects with progressive and nonprogressive glaucoma. FA features are obtained using a box-counting method and a mul…
Abstract—Mathematical modeling of cardiac electrical signals facilitates the simulation of realistic cardiac electrical behaviors, the evaluation of algorithms, and the characterization of underlying space-time patterns. However, there are practical issues pertinent to model efficacy, robustness, and generality. This paper presents a multiscale adaptive basis function modeling approach tocha…
Abstract—RNA interference (RNAi) is considered one of the most powerful genomic tools which allows the study of drug discovery and understanding of the complex cellular processes by high-content screens. This field of study, which was the subject of 2006 Nobel Prize of medicine, has drastically changed the conventionalmethodsofanalysisofgenes.Alargenumberofimageshave been produced by the RNA…
Abstract—In this paper, a social health support system is developed to assist both anterior cruciate ligament (ACL) patients and clinicians on making better decisions and choices for ACL reconstruction and rehabilitation. By providing a good platform to enablemoreeffectivesharingofpersonalexpertiseandACLtreatments,oursocialhealthsupportsystemcanallow:1)ACLpatients toidentifythebestmatchingsoc…