IEEE EMBS presents

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Featured Articles
Vein Visualization Using a Smart Phone with Multispectral Wiener Estimation for Point-of-Care Applications
J. Song, C. Kim, Y. Yoo Effective vein visualization is clinically important for various point-of-care applications, such as needle insertion. It can be achieved by utilizing ultrasound imaging or by applying infrared laser excitation and monitoring its absorption. While these approaches... Read more
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Multimodality Neurological Data Visualization with Multi-VOI Based DTI Fiber Dynamic Integration
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 nerves. The advancement of medical imaging technologies produces a large... Read more
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Detecting Subclinical Diabetic Cardiac Autonomic Neuropathy by Analysing Ventricular Repolarization Dynamics
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) dynamics. CAN needs to be detected at the subclinical stage,... Read more
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Reliable and Energy Efficient Communications for Wireless Biomedical Implant Systems
Ntouni, G., Lioumpas, A., Nikita, K. Implant devices and Wireless Body Area Networks (WBANs) are used in many healthcare applications where the continuous monitoring of a human body biological parameter is crucial. Thus, reliability, low‐ power consumption and long‐lifetime are vital... Read more
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Combined Seismo- and Gyro-cardiography: A More Comprehensive Evaluation of Heart-Induced Chest Vibrations.
Seismo-cardiography (SCG) is the measurement of the linear components of heart-induced chest wall vibrations, generally recorded using miniature accelerometers. Recent studies have shown promising results regarding the potential of this modality for monitoring hemodynamic parameters. Complementary to seismo-cardiography, a modality... Read more
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Regression Convolutional Neural Network for Automated Pediatric Bone Age Assessment from Hand Radiograph
Skeletal bone age assessment is a common clinical practice to investigate endocrinology, genetic and growth disorders of children. However, clinical interpretation and bone age analyses are time-consuming, labor intensive and often subject to inter-observer variability. This advocates the need of... Read more
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Toward Pervasive Gait Analysis With Wearable Sensors: A Systematic Review
After decades of evolution, measuring instruments for quantitative gait analysis have become an important clinical tool for assessing pathologies manifested by gait abnormalities. However, such instruments tend to be expensive and require expert operation and maintenance besides their high cost,... Read more
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Unobtrusive Monitoring of Neonatal Brain Temperature Using a Zero-Heat-Flux Sensor Matrix
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 their response to environmental changes. However, existing methods of measuring... Read more
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Prediction of Freezing of Gait in Parkinson’s from Physiological Wearables: An Exploratory Study
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. Wearable systems that detect FoG in real time have been... Read more
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A Microsoft Kinect-Based Point-of-Care Gait Assessment Framework for Multiple Sclerosis Patients
     Gait impairment is a prevalent and important difficulty for patients with multiple sclerosis (MS), a common neurological disorder. An easy to use tool to objectively evaluate gait in MS patients in a clinical setting can assist clinicians to perform an... Read more
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Respiratory Waveform Estimation from Multiple Accelerometers: An Optimal Sensor Number and Placement Analysis
    Respiratory rate and phase are important information to assist the assessment of patients’ health in different clinical scenarios. Facial masks are usually employed to record respiratory waveforms, but they cause discomfort and obstruct the breathing of debilitated patients. Accelerometers have... Read more
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Remote Assessment of Cognitive Impairment Level based on Serious Mobile Game Performance: An Initial Proof of Concept
         The number of individuals with permanent cognitive disabilities is increasing worldwide due to aging societies. It is important to longitudinally monitor changes in the cognitive functional and impairment levels of these individuals in order to evaluate the effectiveness of the... Read more
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DREAMER: A Database for Emotion Recognition Through EEG and ECG Signals From Wireless Low-Cost Off-the-Shelf Devices
  DREAMER is a multi-modal database consisting of electroencephalogram (EEG) and electrocardiogram (ECG) signals recorded during affect elicitation by means of audio-visual stimuli in the form of film clips. The database contains the recorded signals from 23 participants, as well as... Read more
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DBN-Extended: A Dynamic Bayesian Network Model Extended With Temporal Abstractions for Coronary Heart Disease Prognosis
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 into higher level interval-based concepts. TA techniques were utilized in various... Read more
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Review Paper on Dermoscopy Image Analysis: Overview and Future Directions
Dermoscopy is a non-invasive skin imaging technique that permits visualization of features of pigmented melanocytic neoplasms that are not discernable by examination with the naked eye. While studies on the automated analysis of dermoscopy images date back to the late... Read more
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Analyzing Activity Behavior and Movement in a Naturalistic Environment Using Smart Home Techniques
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 to collect data while (n=84) older adults perform... Read more
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Validation of an Adaptive Transfer Function Method to Estimate the Aortic Pressure Waveform
         Aortic pulse wave reflects cardiovascular status, but unlike the peripheral pulse wave, is difficult to be measured reliably using non-invasive techniques. Therefore, the estimation of aortic pulse wave from peripheral ones is of great significance. Traditional methods using generalized transfer... Read more
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Two-Phase Greedy Pursuit Algorithm for Automatic Detection and Characterization of Transient Calcium Signaling
C. Kan, K-P Yip, H. Yang Ca2+ plays an important role in the regulation of cellular functions. Local calcium events, e.g., calcium sparks, not only bring insights into Ca2+ signaling but also contribute to the understanding of various cellular processes. However,... Read more
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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 combination of multi-modal constructs that can co-occur in different... Read more
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Epsilon-Tube Filtering: Reduction of High-Amplitude Motion Artifacts from Impedance Plethysmography Signal
S. Ansari, K. Ward, K. Najarian Impedance plethysmography (IP) has long been used to monitor respiration, although the applied use of this technology has been limited to hospitals and other medical facilities. The largest obstacle that arises when one uses the... Read more
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Reliability of Lagged Poincare Plot Parameters in Ultra-Short Heart Rate Variability Series: Application on Affective Sounds
The number of studies about ultra-short cardiovascular time series is increasing because of the demand for mobile applications in telemedicine and e-health monitoring. However, the current literature still needs a proper validation of heartbeat nonlinear dynamics assessment from ultra-short time... Read more
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Modeling the Interplay Between Tumor Volume Regression and Oxygenation in Uterine Cervical Cancer During Radiotherapy Treatment
A novel modeling approach of tumor growth and response to radiotherapy is presented and tested on cervical cancer patient data. A patient-specific mathematical model is developed to predict the evolution of cancer volume at a macroscopic scale, during fractionated external... Read more
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Smart-Phone Based Recognition of States and State Changes in Bipolar Disorder Patients
A. Grünerbl, A. Muaremi, V. Osmani, G. Bahle, S. Öhler, G. Tröster, O. Mayora, C. Haring and P. Lukowicz Today’s health care is difficult to imagine without the possibility to objectively measure various physiological parameters related to patients symptoms (from temperature... Read more
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Co-Variation of Depressive Mood and Spontaneous Physical Activity in Major Depressive Disorder: Towards Continuous Monitoring of Depressive Mood
The objective evaluation of depressive mood is considered to be useful for the diagnosis and treatment of depressive disorders. Thus, we investigated psycho-behavioral correlates, particularly the statistical associations between momentary depressive mood and behavioral dynamics measured objectively, in patients with... Read more
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IoT-Based Remote Pain Monitoring System: From Device to Cloud Platform
        Pain prompts the body to react and prevent further tissue damage. It should be controlled timely and adequately to promote the tissue damage healing process as well as well-being. Valid and reliable assessment of pain is a crucial prerequisite to... Read more
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An Emerging Era in the Management of Parkinson’s Disease: Wearable Technologies and the Internet of Things
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 through the Internet of Things (IoT) platform are revolutionizing patient... Read more
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Skull Segmentation and Reconstruction From Newborn CT Images Using Coupled Level Sets
The impact of cranial bones and fontanels-sutures on neuronal source localization in infants by either high-density electroencephalography or high-density functional optical imaging has been proven. However, the main issue in pre-matures and neonates is accurate identification and extraction of the... Read more
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Carotid Intraplaque Neovascularization Quantification Software (CINQS)
Z. Akkus, G. van Burken, S. van den Oord, A. Schinkel, N. de Jong, A. van der Steen, J. Bosch Patients with carotid plaques carry an increased risk of cerebrovascular events such as stroke. To prevent stroke, an early detection of... Read more
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Lumen Segmentation in Intravascular Optical Coherence Tomography Using Backscattering Tracked and Initialized Random Walks
Intravascular imaging using optical coherence tomography (OCT) is commonly used in interventional cardiology for proper diagnosis and surgical planning. OCT provides high-­‐resolution images for detailed investigation of atherosclerosis induced thickening of the lumen wall resulting in arterial blockage and triggering... Read more
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On the Influence of Confounding Factors in Multisite Brain Morphometry Studies of Developmental Pathologies: Application to Autism Spectrum Disorder
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 distinguish patients from healthy control subjects using cortical thickness measurements. In this... Read more
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Integrative Clustering by Non-Negative Matrix Factorization Can Reveal Coherent Functional Groups from Gene Profile Data
S. Brdar, V. Crnojević1, B. Zupan Recent developments in molecular biology and techniques for genome-wide data acquisition have resulted in abundance of data to profile genes and predict their function. These data sets may come from diverse sources and it is... Read more
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Optimized Automated Segmentation and 3D Reconstruction Using Intracoronary Optical Coherence Tomography
Real time segmentation and three-dimensional (3D) reconstruction of the coronary arteries is challenging and limited by the increased computational time of the developed computer-aided methods. We present a novel and time-efficient method for intracoronary lumen detection which produces 3D coronary... Read more
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Advanced Insulin Bolus Advisor based on Run-To-Run Control and Case- Based Reasoning
Herrero, P. Pesl, M. Reddy, N. Oliver, P. Georgiou, and C. Toumazou Insulin bolus calculators are simple decision support software tools incorporated in most commercially available insulin pumps to help people with Type 1 diabetes mellitus (T1DM) calculate the insulin doses... Read more