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IEEE Reviews in Biomedical Engineering

Grigorios Karageorgos, Ioannis Andreadis, Konstantinos Psychas, George Mourkousis, Asimina Kiourti, Gianluca Lazzi, Konstantina S Nikita
Evolution of mobile technologies and their rapid penetration to people's daily lives, especially in the developing countries, have highlighted mobile health, or m-health, as a promising solution to improve health outcomes. Several studies have been conducted that characterize the impact of m-health solutions in resource-limited settings and assess their potential to improve health care. The aim of the present paper is twofold: i) present an overview of the background and significance of m-health, and ii) summarize and discuss the existing evidence for the effectiveness of m-health in the developing world...
September 5, 2018: IEEE Reviews in Biomedical Engineering
Greg OGrady, Timothy R Angeli, Niranchan Paskaranandavadivel, Jonathan C Erickson, Cameron Wells, Armen Alex Gharibans, Leo K Cheng, Peng Du
Over the last two decades, high-resolution (HR) mapping has emerged as a powerful technique to study normal and abnormal bioelectrical events in the gastrointestinal (GI) tract. This technique, adapted from cardiology, involves the use of dense arrays of electrodes to track bioelectrical sequences in fine spatiotemporal detail. HR mapping has now been applied in many significant GI experimental studies informing and clarifying both normal physiology and arrhythmic behaviors in disease states. This review provides a comprehensive and critical analysis of current methodologies for HR electrical mapping in the GI tract, including extracellular measurement principles, electrode design and mapping devices, signal processing and visualization techniques, and translational research strategies...
August 29, 2018: IEEE Reviews in Biomedical Engineering
Sushen Zhang, Seyed Mojtaba Hosseini Bamakan, Qiang Qu, Sha Li
With the recent advancements in analysing high volume, complex and unstructured data, modern learning methods are playing an increasingly critical role in the field of personalised medicine. Personalised medicine, which refers to providing tailored medical treatment to individual patients through the identification of common features, including their genetics, inheritance, and lifestyle, has attracted the attention of many researchers over the recent years. This review paper provides an overview of the research progress in application of learning methods with the focus on deep learning in personalised medicine...
August 7, 2018: IEEE Reviews in Biomedical Engineering
Konstantina Kourou, Vasileios C Pezoulas, Eleni I Georga, Themis Exarchos, Panayiotis Tsanakas, Manolis Tsiknakis, Theodora Varvarigou, Salvatore De Vita, Athanasios Tzioufas, Dimitrios I I Fotiadis
In this review the critical parts and milestones for data harmonization, from the biomedical engineering perspective, are outlined. The need for data sharing between heterogeneous sources pave the way for cohort harmonization; thus, fostering data integration and interdisciplinary research. Unmet needs in chronic as well as in other diseases, can be addressed based on the integration of patient health records and the sharing of information of the clinical picture and outcome. The stratification of patients, the determination of various clinical and outcome features and the identification of novel biomarkers for the different phenotypes of the disease characterize the impact of cohort harmonization in patient-centered clinical research and in precision medicine...
July 11, 2018: IEEE Reviews in Biomedical Engineering
Anu Shaju Areeckal, Michel Kocher, Sumam David S
Osteoporosis is a metabolic bone disorder characterized by low bone mass, degradation of bone micro-architecture and susceptibility to fracture. It is a growing major health concern across the world, especially in the elderly population. Osteoporosis can cause hip or spinal fractures that may lead to high morbidity and socio-economic burden. Therefore, there is a need for early diagnosis of osteoporosis and prediction of fragility fracture risk. In this paper, state-of-the-art and recent advances in imaging techniques for diagnosis of osteoporosis and fracture risk assessment have been explored...
July 3, 2018: IEEE Reviews in Biomedical Engineering
Diane J Cook, Maureen Schmitter-Edgecombe, Linus Jonsson
The maturation and adoption of pervasive computing technologies have dramatically altered the face of healthcare. With the introduction of mobile devices, body area networks, and embedded computing systems, care providers can use continuous, ecologically valid information to overcome geographic and temporal barriers and thus provide more effective and timely health assessments. In this paper, we review recent technological developments that can be harnessed to replicate, enhance, or design new methods for assessment of functional performance...
June 28, 2018: IEEE Reviews in Biomedical Engineering
Assefa K Teshome, Behailu Kibret, Daniel Lai
Over the past six decades there has been tremendous progress made in the field of medical implant communications. A comprehensive review of the progress, current state-of-the-art and future direction is presented in this chapter. Implanted Medical Devices (IMDs) are designed mainly for the purpose of diagnostic, therapeutic and assitive applications in heathcare, active living and sports technology. The primary target of implanted medical devices (IMDs) design revolve around reliable communications, sustainable power sources, high degree of miniaturisation while maintaining bio-compatibility to surrounding tissues adhering to the human safety limits set by appropriate guidelines...
June 18, 2018: IEEE Reviews in Biomedical Engineering
Donato Impedovo, Giuseppe Pirlo
Neurodegenerative diseases, as for instance Alzheimer's Disease (AD) and Parkinson's Disease (PD), affect the peripheral nervous system, where nerve cells send the messages that control muscles in order to allow movements. Sick neurons cannot control muscles properly. Handwriting involves cognitive planning, coordination and execution abilities. Significant changes in the handwriting performance are a prominent feature of AD and PD. This work addresses the most relevant results obtained in the field of on-line (dynamic) analysis of handwritten trials by AD and PD patients...
May 25, 2018: IEEE Reviews in Biomedical Engineering
Umair Ishaq Khan, Sergey Makarov, Yunxing Ye, Ruijun Fu, Pranay Swar, Kaveh Pahlavan
Location estimation within the human body by means of wireless signals is becoming popular for a variety of purposes, including wireless endoscopy using camera pills. The precision of wireless ranging in any medium is contingent upon the methodology employed. Two of the most popular wireless tracking methods are received signal strength (RSS) and time-of-arrival (TOA). The scope of this study is an assessment of the precision of TOA and RSS based ranging in the proximity of anthropomorphic tissue by means of simulation software designed to mimic signal transmission in the human body environment...
April 13, 2018: IEEE Reviews in Biomedical Engineering
Wissam Farhat, Anwarul Hasan, Lucian Lucia, Frederic Becquart, Ali Ayoub, Firas Kobeissy
Stem cell-based therapy is a promising approach for the treatment of a myriad of diseases and injuries. However, the low rate of cell survival and the uncontrolled differentiation of the injected stem cells currently remain as the key challenges in advancing stem cell therapeutics. Hydrogels are biomaterials that are potentially highly effective candidates for scaffold systems for stem cells and other molecular encapsulation approaches to target in vivo delivery. Hydrogel-based strategies can potentially address several current challenges in stem cell therapy...
April 12, 2018: IEEE Reviews in Biomedical Engineering
Ilario Imbinto, Carlo Peccia, Marco Controzzi, Andrea Giovanni Cutti, Angelo Davalli, Rinaldo Sacchetti, Christian Cipriani
In the above paper, by Imbinto et al. (IEEE Rev. Biomed. Eng., vol. 9, pp. 32-48, 2016), typographical errors appear in (1) (2) (3), whereas (4) is missing of a factor; all the equations are reported within Section III-C of the paper. The modifications are provided in this paper.
2018: IEEE Reviews in Biomedical Engineering
Delaram Jarchi, James Pope, Tracey K M Lee, Larisa Tamjidi, Amirhosein Mirzaei, Saeid Sanei
Gait analysis continues to be an important technique for many clinical applications to diagnose and monitor certain diseases. Many mental and physical abnormalities cause measurable differences in a person's gait. Gait analysis has applications in sport, computer games, physical rehabilitation, clinical assessment, surveillance, human recognition, modeling, and many other fields. There are established methods using various sensors for gait analysis, of which accelerometers are one of the most often employed...
2018: IEEE Reviews in Biomedical Engineering
Stephanos Leandrou, Styliani Petroudi, Panayiotis A Kyriacou, Constantino Carlos Reyes-Aldasoro, Constantinos S Pattichis
Classifying and predicting Alzheimer's disease (AD) in individuals with memory disorders through clinical and psychometric assessment is challenging, especially in mild cognitive impairment (MCI) subjects. Quantitative structural magnetic resonance imaging acquisition methods in combination with computer-aided diagnosis are currently being used for the assessment of AD. These acquisitions methods include voxel-based morphometry, volumetric measurements in specific regions of interest (ROIs), cortical thickness measurements, shape analysis, and texture analysis...
2018: IEEE Reviews in Biomedical Engineering
Udit Satija, Barathram Ramkumar, M Sabarimalai Manikandan
Electrocardiogram (ECG) signal quality assessment (SQA) plays a vital role in significantly improving the diagnostic accuracy and reliability of unsupervised ECG analysis systems. In practice, the ECG signal is often corrupted with different kinds of noises and artifacts. Therefore, numerous SQA methods were presented based on the ECG signal and/or noise features and the machine learning classifiers and/or heuristic decision rules. This paper presents an overview of current state-of-the-art SQA methods and highlights the practical limitations of the existing SQA methods...
2018: IEEE Reviews in Biomedical Engineering
Bassem Dahroug, Brahim Tamadazte, Stefan Weber, Laurent Tavernier, Nicolas Andreff
Otologic surgical procedures over time have become minimally invasive due to the development of medicine, microtechniques, and robotics. This trend then provides an expected reduction in the patient's recovery time and improvement in the accuracy of diagnosis and treatment. One of the most challenging difficulties that such techniques face are precise control of the instrument and supply of an ergonomic system to the surgeon. The objective of this literature review is to present requirements and guidelines for a surgical robotic system dedicated to middle ear surgery...
2018: IEEE Reviews in Biomedical Engineering
Jawad M Khalifeh, Zohny Zohny, Matthew MacEwan, Manu Stephen, William Johnston, Paul Gamble, Youchun Zeng, Ying Yan, Wilson Z Ray
Pseudarthrosis is an exceedingly common, costly, and morbid complication in the treatment of long bone fractures and after spinal fusion surgery. Electrical bone growth stimulation (EBGS) presents a unique approach to accelerate healing and promote fusion success rates. Over the past three decades, increased experience and widespread use of EBGS devices has led to significant improvements in stimulation paradigms and clinical outcomes. In this paper, we comprehensively review the literature and examine the history, scientific evidence, available technology, and clinical applications for EBGS...
2018: IEEE Reviews in Biomedical Engineering
Arnab Chanda, Tysum Ruchti, Vinu Unnikrishnan
Suturing is an acquired skill which is based on a surgeon's experience. To date, no two sutures are the same with respect to the type of knot, tension, or suture material. With advancement in medical technologies, robotic suturing is becoming more and more important to operate on complex and difficult to reach internal surgical sites. While it is very difficult to translate a surgeon's suturing expertise to an automated environment, computational models could be employed to estimate baseline suture force requirements for a given wound shape, size, and suture material, which could be subsequently processed by a robot...
2018: IEEE Reviews in Biomedical Engineering
Xinjian Chen, Lingjiao Pan
Medical image segmentation is a fundamental and challenging problem for analyzing medical images. Among different existing medical image segmentation methods, graph-based approaches are relatively new and show good features in clinical applications. In the graph-based method, pixels or regions in the original image are interpreted into nodes in a graph. By considering Markov random field to model the contexture information of the image, the medical image segmentation problem can be transformed into a graph-based energy minimization problem...
2018: IEEE Reviews in Biomedical Engineering
Wenhao Deng, Ioannis Papavasileiou, Zhi Qiao, Wenlong Zhang, Kam-Yiu Lam, Song Han
The world is experiencing an unprecedented, enduring, and pervasive aging process. With more people who need walking assistance, the demand for lower extremity gait rehabilitation has increased rapidly over the years. The current clinical gait rehabilitative training requires heavy involvement of both medical doctors and physical therapists, and thus, are labor intensive, subjective, and expensive. To address these problems, advanced automation techniques, especially along with the proliferation of smart sensing and actuation devices and big data analytics platforms, have been introduced into this field to make the gait rehabilitation convenient, efficient, and personalized...
2018: IEEE Reviews in Biomedical Engineering
Cornelia Wenger, Pedro C Miranda, Ricardo Salvador, Axel Thielscher, Zeev Bomzon, Moshe Giladi, Maciej M Mrugala, Anders R Korshoej
Tumor-treating fields (TTFields) are a cancer treatment modality that uses alternating electric fields of intermediate frequency (∼100-500 kHz) and low intensity (1-3 V/cm) to disrupt cell division. TTFields are delivered by transducer arrays placed on the skin close to the tumor and act regionally and noninvasively to inhibit tumor growth. TTFields therapy is U.S. Food and Drug Administration approved for the treatment of glioblastoma multiforme, the most common and aggressive primary human brain cancer...
2018: IEEE Reviews in Biomedical Engineering
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