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Assessing Executive Function Using a Computer Game: Computational Modeling of Cognitive Processes

Assessing Executive Function Using a Computer Game: Computational Modeling of Cognitive Processes

Earlier detection of cognitive decline can be obtained through regular and frequent measurement of cognitive performance in the older adult’s home. Scavenger Hunt is designed to mimic the Trail-Making Test, a standard, clinical neuropsychological test that resembles a child’s connect-the-dots puzzle. To make measurements of cognitive performance using play of Scavenger Hunt, we have constructed a mathematical model that describes the way a person plays the game. As Scavenger Hunt is designed to resemble the Trail-Making Test, the model also describes the way a person completes the test, allowing us to also use the performance measures made from the game to estimate expected performance on the test…

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Hierarchical Approaches to Estimate Energy Expenditure using Phone-Based Accelerometers

Hierarchical Approaches to Estimate Energy Expenditure using Phone-Based Accelerometers

An important challenge in estimating energy expenditure from phone-based accelerometers is that of accounting for inter-personal differences in body types among individuals. Accounting for inter-individual differences can provide personalized estimates of energy expenditure thus improving accuracy of measurement. Our work addresses this challenge by presenting a set of data-driven algorithms that provide body-normalized estimates of energy expenditure given movement information captured with phone-based accelerometers. Through a detailed experimental study focused on steady-state treadmill walking, we seek to understand the trade-offs involved in the proposed techniques…

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Manual Stage Acquisition and Interactive Display of Digital Slides in Histopathology

Manual Stage Acquisition and Interactive Display of Digital Slides in Histopathology

In this work we present the first method known in literature for real-time whole slide acquisition and displaying conceived for conventional non-automated microscopes. This has been achieved by building a real time mosaicking using robust features for image registration, an auto-focus algorithm for missing focus and an assisted fail recovery strategy, based on an adaptive guess of the holder position. Finally, a smart buffering framework permits to interactively displaying the mosaic. As our approach compliant with existing common microscope positions, the proposed approach could enable the application of whole slide technology in small labs which do not endowed with DS hardware facilities…

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Automated Estimation of Fetal Cardiac Timing Events From Doppler Ultrasound Signal Using Hybrid Models

Automated Estimation of Fetal Cardiac Timing Events From Doppler Ultrasound Signal Using Hybrid Models

Fetal cardiac monitoring is aimed to evaluate antepartum fetal risks. The opening and closure timings of the cardiac valves are the main bases for evaluate such risks. A simpler technique is to use Doppler Ultrasound (DUS) signal and fetal electrocardiogram (fECG) as reference. Valve motions are linked to a high frequency component of the DUS signal. Considering the transient nature of the DUS signal and wide changes in its content and spectral characteristics, in this paper it is proposed to apply Empirical Mode Decomposition (EMD) to decompose the DUS signal. Furthermore a novel automated technique based on hybrid support vector machines – Hidden Markov Models (SVM/HMM) is proposed to identify cardiac valve opening and closing from the peaks of the DUS component. This automated method can continuously identify beat-to-beat valve motion timings by the rate of 91% which is higher than previous methods…

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About This Journal

IEEE Journal of Biomedical and Health Informatics (J-BHI) publishes original papers describing recent advances in the field of biomedical and health informatics where information and communication technologies intersect with health, healthcare, life sciences and biomedicine. Papers must contain original content in theoretical analysis, methods, technical development, and/or novel clinical applications of information systems.

Retitled from the IEEE Transactions on Information Technology in Biomedicine (T-ITB) in 2013, the J-BHI is one of the leading journals in computer science and information systems with a strong interdisciplinary focus and biomedical and health application emphasis. Topics covered by J-BHI include, but are not limited to: acquisition, transmission, storage, retrieval, management, processing and analysis of biomedical and health information; applications of information and communication technologies to the practice of healthcare, personal well-being, preventive care and early diagnosis of diseases, and discovery of new therapies and patient specific treatment protocols; and integration of electronic medical and health records, methods of longitudinal data analysis, data mining and knowledge discovery tools.

Manuscripts may deal with these applications and their integration, such as clinical information systems, decision support systems, medical and biological imaging informatics, wearable systems, body senor networks, informatics in biological and physiological systems, personalized and pervasive health technologies (telemedicine, u-, p-, m- and e-Health) for public health, home healthcare and wellness management. Topics related to integration include interoperability, protocol-based patient care, evidence-based medicine, and methods of secure patient data.

Papers published by J-BHI are typically organised under section headings of Bioinformatics, Imaging Informatics, Sensor Informatics, Medical Informatics, and Public Health Informatics. These are complemented by managed special issues/sections covering topics that are of strategic importance to the journal, coordinated by guest editors who are leading experts in these fields. We particularly encourage large cohort studies with clearly demonstrated clinical translational values supplemented by online data sets or algorithms that can be shared by the research community.

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