A Collaborative Biomedical Image-Mining Framework: Application on the Image A…

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…

Objective Study of Sensor Relevance for Automatic Cough Detection

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…

Estimation of Sleep Onset Latency Based on the Blood Pressure Regulatory Re�…

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…

Classification of Finger Movements for the Dexterous Hand Prosthesis Control…

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…

Adaptive Calibration Algorithm for Plasma Glucose Estimation in Continuous Gl…

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…

ACM-Based Automatic Liver Segmentation From 3-D CT Images by Combining Multip…

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…

A Survey on Ambient-Assisted Living Tools for Older Adults

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…

A Suction Detection System for Rotary Blood Pumps Based on the Lagrangian Sup…

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 …

A Statistical Modeling Approach for Tumor-Type Identification in Surgical Ne…

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…

A Novel Framework for Cellular Tracking and Mitosis Detection in Dense Phase …

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…

A New Framework Based on Recurrence Quantification Analysis for Epileptic Se…

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. …

A Hybrid Low Power Biopatch for Body Surface Potential Measurement

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…

Triaxial Accelerometer-Based Fall Detection Method Using a Self-Constructing …

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…

The Tactile Sensation Imaging System for Embedded Lesion Characterization

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…

Segmentation and Tracing of Single Neurons from 3D Confocal Microscope Images

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…

Novel Fractal Feature-Based Multiclass Glaucoma Detection and Progression Pre…

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…

Multiscale Entropy Analysis of Different Spontaneous Motor Unit Discharge Pat…

Edisi

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ISBN/ISSN

2168-2194

Deskripsi Fisik

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, VOL. 17, NO. 2, MARCH 2013 p. 470-476

Judul Seri

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No. Panggil

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Multiscale Adaptive Basis Function Modeling of Spatiotemporal Vectorcardiogra…

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…

Lossless Compression of RNAi Fluorescence Images Using Regional Fluctuations …

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…

Leveraging Social Supports for Improving Personal Expertise on ACL Reconstruc…

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…

Effect of Cadence Regulation on Muscle Activation Patterns During Robot-Assis…

Abstract—Cadence or stride frequency is an important parameter being controlled in gait training of neurologically impaired subjects. The aim of this study was to examine the effects of cadencevariationonmuscleactivationpatternsduringrobot-assisted unimpaired gait using dynamic simulations. A 2-D musculoskeletal model of human gait was developed considering eight major muscle groups along wit…

Discriminative and Generative Classification Techniques Applied to Automated…

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…

Detection of Seizure and Epilepsy Using Higher Order Statistics in the EMD Do…

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 …

Decision Support for Subjects Exposed to Heat Stress

Abstract—Thephysiologicalandactivitystrainindex(PASI)has beendevelopedtoimprovetheonlinedecisionsupportforworkers exposed to heat stress. Fire fighters (smoke divers) which are exposedtobothheat-stressandhigh-risksituationshavebeenusedas test case. PASI combines a modified version of the relatively wellknown physiological strain index (PSI) with activity data from accelerometers. The algori…

Autoregressive and Iterative Hidden Markov Models for Periodicity Detection a…

Abstract—Traditional signal processing methods cannot detect interspersed repeats and generally cannot handle nonstationary signals. In this paper, we propose a new method for periodicity detection in protein sequences to locate interspersed repeats. We first apply the autoregressive model with a sliding window to find possible repeating subsequences within a protein sequence. Then, we util…

Automated Segmentation of the Melanocytes in Skin Histopathological Images

Abstract—In the diagnosis of skin melanoma by analyzing histopathological images, the detection of the melanocytes in the epidermis area is an important step. However, the detection of melanocytes in the epidermis area is difficult because other keratinocytesthatareverysimilartothemelanocytesarealsopresent. Thispaperproposesanovelcomputer-aidedtechniqueforsegmentation of the melanocytes in t…

Adverse Drug Effect Detection

Abstract—Largecollectionsofelectronicpatientrecordsprovide abundantbutunder-exploredinformationonthereal-worlduseof medicines. Although they are maintained for patient administration, they provide a broad range of clinical information for data analysis. One growing interest is drug safety signal detection from these longitudinal observational data. In this paper, we proposed two novel algorit…

Acoustic Signal Classification of Breathing Movements to Virtually Aid Breat…

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…

A New Tongue Colorchecker Design by Space Representation for Precise Correction

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…

A Low-Complexity ECG Feature Extraction Algorithm for Mobile Healthcare Appli…

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…

Utility-Aware Anonymization of Diagnosis Codes

Abstract—Thegrowingneedforperforminglarge-scaleandlowcost biomedical studies has led organizations to promote the reuse of patient data. For instance, the National Institutes of Health in the U.S. requires patient-specific data collected and analyzed in thecontextofGenome-wideAssociationStudies(GWAS) tobedepositedintoabiorepositoryandbroadlydisseminated.Whileessential to comply with regulati…

Thermal Imaging as a Biometrics Approach to Facial Signature Authentication

Abstract—A new thermal imaging framework with unique featureextractionandsimilaritymeasurementsforfacerecognitionis presented.Theresearchpremiseistodesignspecializedalgorithms thatwouldextractvasculatureinformation,createathermalfacial signature, and identify the individual. The proposed algorithm is fullyintegratedandconsolidatesthecriticalstepsoffeatureextractionthroughtheuseofmorphological…

Realization of Public M-Health Service in License-Free Spectrum

Abstract—Public m-health is a new medical service under intensive development, which provides unobtrusive monitoring of people’shealthconditionsfromanywhereatanytimetoenabledetection of deteriorating health conditions before severe discomfort or disability occur. A key challenge in practical implementation of public m-health is the use of shared license-free spectrum by body area networks (…

SPIHT-Based Echocardiogram Compression: Clinical Evaluation and Recommendatio…

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…

Position Recognition to Support Bedsores Prevention

Abstract—In this paper, a feasibility study where small wireless devices are used to classify some typical user’s positions in the bed is presented. Wearable wireless low-cost commercial transceivers operatingat2.4GHzaresupposedtobewidelydeployedinindoor settings and on people’s bodies in tomorrow’s pervasive computing environments. The key idea of this study is to leverage their presen…

Novel Approaches for Predicting Risk Factors of Atherosclerosis

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…

Near Real-Time Retroflexion Detection in Colonoscopy

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…

Multivariate Prediction of Subcutaneous Glucose Concentration in Type 1 Diabe…

Abstract—Data-driven techniques have recently drawn significant interest in the predictive modeling of subcutaneous (s.c.) glucose concentration in type 1 diabetes. In this study, the s.c. glucose prediction is treated as a multivariate regression problem, whichisaddressedusingsupportvectorregression(SVR).Theproposed method is based on variables concerning: 1) the s.c. glucose profile; 2) th…

Joint Probabilistic Model of Shape and Intensity for Multiple Abdominal Organ…

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…

Multichannel EEG Compression: Wavelet-Based Image and Volumetric Coding Approach

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.…

Histology Image Retrieval in Optimized Multifeature Spaces

Abstract—Content-basedhistologyimageretrievalsystemshave shown great potential in supporting decision making in clinical activities, teaching, and biological research. In content-based image retrieval, feature combination plays a key role. It aims at enhancing the descriptive power of visual features corresponding to semantically meaningful queries. It is particularly valuable in histology im…

Iris-Based Medical Analysis by Geometric Deformation Features

Abstract—Iris analysis studies the relationship between human health and changes in the anatomy of the iris. Apart from the fact that iris recognition focuses on modeling the overall structure of theiris,irisdiagnosisemphasizesthedetectingandanalyzingoflocal variations in the characteristics of irises. This paper focuses on studyingthegeometricalstructurechangesinirisesthatarecaused by gastro…

BIMBINGAN KONSELING BELAJAR

Proses pembelajaran adalah merupakan salah satu strategi untuk mentransfer pengetahuan (kebudayaan) dari guru ke sipembelajar. Untuk itu guru yang profesional berusaha mengemas materi pembelajaran sebaik mungkin agar apa yang diajarkan atau disampaikan kepada peserta didik dapat dikuasai secara maksimal oleh peserta didik. Namun kenyataan yang terjadi pada diri peserta didik, tidak seluruh…

PERKEMBANGAN PESERTA DIDIK (PSIKOLOGI PERKEMBANGAN REMAJA)

Pandangan monoisme maupun dualisme sama-sama sepakat bahwa individu merupakan suatu kesatuan jasmani dan rohani. Sebab tidak mungkin seseorang berpikir tanpa ada unsur kemauan dan tidak mungkin seseorang menginginkan sesuatu tanpa ada unsur berpikir. Di samping itu manusia tidak dapat hidup sendiri tetapi juga membutuhkan pihak lain untuk dapat bekerjasama dalam kehidupan ini. Jadi dapat …

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