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Special Issue: Big Data for Health
R. Atun, Y. Lussier, C. Poon, S. T. C. Wong, and G.-Z. Yang Development in the fields of biomedical and health informatics are driving major expansion in big-data, not only because of the sheer volume...
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Special Issue on EMBC 2014
This special edition comprises 10 papers selected from over 2000 submissions at the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’14). Based on the...
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Personalization of Energy Expenditure Estimation in Free Living Using Topic...
We introduce an approach to personalize energy expenditure (EE) estimates in free living. First we use Topic Models (TM) to discover activity composites from recognized activity primitives and stay...
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Identifying Physical Activity Profiles in COPD Patients Using Topic Models
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 a...
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Special Section: Machine Learning and Data Mining in Medical Imaging
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,...
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Special Section: Sensor Informatics and Quantified Self
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....
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An Emerging Era in the Management of Parkinson’s Disease: Wearable...
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...
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Analyzing Activity Behavior and Movement in a Naturalistic Environment Using...
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 wearable sensors...
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Prediction of Freezing of Gait in Parkinson’s from Physiological Wearables:...
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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Special Section: Enabling Technologies for Parkinson’s Disease Management
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 between the...
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Detecting Subclinical Diabetic Cardiac Autonomic Neuropathy by Analysing...
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...
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Unobtrusive Monitoring of Neonatal Brain Temperature Using a Zero-Heat-Flux...
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...
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Multimodality Neurological Data Visualization with Multi-VOI Based DTI Fiber...
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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Special Section: Biomedical and Health Informatics for Diabetes
Georgiou, P., Johnston, D. It is estimated that 371 million people worldwide have diabetes and the number is increasing at an alarming rate. In addition to short-term symptoms, there are long-term...
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Improvement in Neural Respiratory Drive Estimation From Diaphragm...
Luis Estrada, Abel Torres, Leonardo Sarlabous, Raimon Jané Diaphragm electromyography is a valuable technique for the recording of electrical activity of the diaphragm. The analysis of diaphragm...
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Skull Segmentation and Reconstruction From Newborn CT Images Using Coupled...
Sona Ghadimi, Hamid Abrishami Moghaddam, Reinhard Grebe, Fabrice Wallois The impact of cranial bones and fontanels-sutures on neuronal source localization in infants by either high-density...
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Lumen Segmentation in Intravascular Optical Coherence Tomography Using...
Abhijit Guha Roy, Sailesh Conjeti, Stéphane G. Carlier, Pranab K. Dutta, Adnan Kastrati, Andrew F. Laine, Nassir Navab, Amin Katouzian, Debdoot Sheet Intravascular imaging using optical coherence...
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Modeling the Interplay Between Tumor Volume Regression and Oxygenation in...
Antonella Belfatto, Marco Roboldi, Delia Ciardo, Federica Cattani, Agnese Cecconi, Roberta Lazzari, Barbara Alicja Jereczek-Fossa, Roberto Orecchia, Guido Baroni, Pietro Cerveri A novel modeling...
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On the Influence of Confounding Factors in Multisite Brain Morphometry...
Brain anatomical MRI is increasingly viewed as an attractive way to measure biological properties of interest. In particular, numerous neuroimaging studies have shown that it is possible to...
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DBN-Extended: A Dynamic Bayesian Network Model Extended With Temporal...
Temporal abstraction (TA) and dynamic Bayesian networks (DBNs) became two topics of much interest and research in clinical systems. TA is a knowledge-based process that abstracts raw temporal data...
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