Featured Articles

Multimodality Neurological Data Visualization with Multi-VOI Based DTI Fiber Dynamic Integration
Author(s)3: Qi Zhang, Murray Alexander, Lawrence Ryner
Multimodality Neurological Data Visualization with Multi-VOI Based DTI Fiber Dynamic Integration 170 177 Journal of Biomedical and Health Informatics (JBHI)

Brain lesions are usually located adjacent to critical spinal structures, so it will be a challenging task for neurosurgeons to precisely plan a surgical procedure without damaging healthy tissues and…

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Unobtrusive Monitoring of Neonatal Brain Temperature Using a Zero-Heat-Flux Sensor Matrix
Author(s)3: Louis Atallah, Edwin Bongers, Bishal Lamichhane, Sidarto Bambang-Oetomo
Unobtrusive Monitoring of Neonatal Brain Temperature Using a Zero-Heat-Flux Sensor Matrix 170 177 Journal of Biomedical and Health Informatics (JBHI)

The temperature of preterm neonates must be maintained within a narrow window to ensure their survival. Continuously measuring their core temperature provides an optimal means of monitoring their thermoregulation and…

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Detecting Subclinical Diabetic Cardiac Autonomic Neuropathy by Analysing Ventricular Repolarization Dynamics
Author(s)3: Mohammad Hasan Imam, Chandan K. Karmakar, Herbert F. Jelinek, Marimuthu Palaniswami, Ahsan H. Khandoker
Detecting Subclinical Diabetic Cardiac Autonomic Neuropathy by Analysing Ventricular Repolarization Dynamics 170 177 Journal of Biomedical and Health Informatics (JBHI)

Cardiac autonomic neuropathy (CAN), a major complication of diabetes, is characterized by a gradual increase in damage to the autonomic nerve fibers that results in abnormalities in ventricular repolarization (VR)…

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Special Section: Enabling Technologies for Parkinson’s Disease Management
Special Section: Enabling Technologies for Parkinson’s Disease Management 170 177 Journal of Biomedical and Health Informatics (JBHI)

Parkinson’s disease is the most common neurological movement disorder, with a prevalence of up to 2% in the elderly. The new research published in this Special issue represents the edge…

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Prediction of Freezing of Gait in Parkinson’s from Physiological Wearables: An Exploratory Study
Author(s)3: Sinziana Mazilu, Alberto Calatroni, Eran Gazit, Anat Mirelman, Jeffrey M. Hausdorff, Gerhard Tröster
Prediction of Freezing of Gait in Parkinson’s from Physiological Wearables: An Exploratory Study 170 177 Journal of Biomedical and Health Informatics (JBHI)

Freezing of gait (FoG) is a common and severe gait impairment among patients with advanced Parkinson’s disease. FoG is associated with falls and negatively impacts the patient’s quality of life.…

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Analyzing Activity Behavior and Movement in a Naturalistic Environment Using Smart Home Techniques
Author(s)3: Diane J. Cook, Maureen Schmitter-Edgecombe, Prafulla Dawadi
Analyzing Activity Behavior and Movement in a Naturalistic Environment Using Smart Home Techniques 170 177 Journal of Biomedical and Health Informatics (JBHI)

One of the many services that intelligent systems can provide is the ability to analyze the impact of different medical conditions on daily behavior. This study uses smart homes and…

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An Emerging Era in the Management of Parkinson’s Disease: Wearable Technologies and the Internet of Things
Author(s)3: Cristian F. Pasluosta, Heiko Gassner, Juergen Winkler, Jochen Klucken, Bjoern M. Eskofier
An Emerging Era in the Management of Parkinson’s Disease: Wearable Technologies and the Internet of Things 170 177 Journal of Biomedical and Health Informatics (JBHI)

This review highlights the technological aspects of an emerging healthcare platform designed to cope with the increasing global prevalence of chronic neurological disorders associated with the elderly. Wearable technologies connected…

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Special Section: Sensor Informatics and Quantified Self
Special Section: Sensor Informatics and Quantified Self 720 236 Journal of Biomedical and Health Informatics (JBHI)

Wearable sensors, combined with signal processing, machine learning, and the ability to collect large sets of human data comfortably 24/7, are advancing new ways to learn about human wellbeing.  Measurements…

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Special Section: Machine Learning and Data Mining in Medical Imaging
Special Section: Machine Learning and Data Mining in Medical Imaging 150 158 Journal of Biomedical and Health Informatics (JBHI)

Medical imaging is becoming indispensable nowadays for healthcare and many other biomedical applications. With advances in medical imaging, such as cone-beam/multi-slice CT, 3D ultrasound imaging, tomosynthesis, diffusion-weighted magnetic resonance imaging…

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Identifying Physical Activity Profiles in COPD Patients Using Topic Models
Author(s)3: Gabriele Spina, Pierluigi Casale, Paul S. Albert, Jennifer Alison, Judith Garcia-Aymerich, Richard W. Costello, Nidia A. Hernandes, Arnoldus J. R. van Gestel, Jorg D. Leuppi, Rafael Mesquita, Sally J. Singh, Frank W. J. M. Smeenk, Ruth Tal-Singer, Emiel F. M. Wouters, Martijn A. Spruit, Albertus C. den Brinker
Identifying Physical Activity Profiles in COPD Patients Using Topic Models 150 158 Journal of Biomedical and Health Informatics (JBHI)

With the growing amount of physical activity (PA) measures, the need for methods and algorithms that automatically analyse and interpret unannotated data increases. In this paper PA is seen as…

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