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IEEE Reviews in Biomedical Engineering

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https://read.qxmd.com/read/30640629/dementia-care-frameworks-and-assistive-technologies-for-their-implementation-a-review
#1
Lefteris Koumakis, Charikleia Chatzaki, Eleni Kazantzaki, Evangelia Maniadi, Manolis Tsiknakis
In this review we focus on the various integrated care models that have been applied for the management of dementia patients. We explore the different types of assistive technologies (mobile, wearable and home-based systems) for dementia care, with a special emphasis on technologies that involve or target to the informal caregiver as end user. In an attempt to reveal the needs for information sharing, communication and collaboration between people with dementia and caregivers involved in the effective and integrated management of the disease, we analyze the trends in research and development to date, we seek to understand and reflect upon the state of the art in assistive technologies for dementia, and we highlight domains that appear underexplored, in order to guide future research...
January 11, 2019: IEEE Reviews in Biomedical Engineering
https://read.qxmd.com/read/30571646/non-invasive-flexible-and-stretchable-wearable-sensors-with-nano-based-enhancement-for-chronic-disease-care
#2
Geng Yang, Gaoyang Pang, Zhibo Pang, Ying Gu, Matti Mantysalo, Huayong Yang
Advances have been made in flexible and stretchable electronics, functional nanomaterials, and micro/nano manufacturing in recent years. These advances have accelerated the development of wearable sensors. Wearable sensors with excellent flexibility, stretchability, durability and sensitivity, shows attractive application prospects in the next generation of personal devices for chronic dis-ease care. Flexible and stretchable wearable sensors play an important role in endowing chronic disease care systems with the capability of long-term and real-time track-ing of biomedical signals...
December 17, 2018: IEEE Reviews in Biomedical Engineering
https://read.qxmd.com/read/30561351/neuroimaging-and-machine-learning-for-dementia-diagnosis-recent-advancements-and-future-prospects
#3
Md Rishad Ahmed, Yuan Zhang, Zhiquan Feng, Benny Lo, Omer Inan, Hongen Liao
Dementia, a chronic and progressive cognitive declination of brain function caused by disease or impairment, is becoming more prevalent due to the aging population. A major challenge in dementia is achieving accurate and timely diagnosis. In recent years, neuroimaging with computer-aided algorithms have made remarkable advances in addressing this challenge. The success of these approaches is mostly attributed to the application of machine learning techniques for neuroimaging. We present a comprehensive survey of automated diagnostic approaches for dementia using medical image analysis and machine learning algorithms published in the recent years...
December 11, 2018: IEEE Reviews in Biomedical Engineering
https://read.qxmd.com/read/30561350/toward-standardizing-the-classification-of-robotic-gait-rehabilitation-systems
#4
Salheddine Ayad, Mohammed Ayad, Abdelkader Megueni, Erika G Spaich, Lotte N S Andreasen Struijk
With the existence of numerous rehabilitation systems, their classification and comparison becomes difficult, especially when considering many factors. Moreover, most current reviews are descriptive and do not provide systematic methods for the visual comparison of systems. This review proposes a method for classifying systems, representing them graphically to easily visualize all characteristics of different systems at the same time. This method could be an introduction for standardizing the evaluation of gait rehabilitation systems...
December 11, 2018: IEEE Reviews in Biomedical Engineering
https://read.qxmd.com/read/30530339/deep-learning-in-cardiology
#5
Paschalis Bizopoulos, Dimitris D G Koutsouris
The medical field is creating large amount of data that physicians are unable to comprehend and use efficiently. Moreover, rule-based expert systems are inefficient in solving complicated medical tasks or creating insights using big data. Deep learning has emerged as a more accurate and effective technology in a wide range of medical problems such as diagnosis, prediction and intervention. It is a representation learning method that consists of layers that transform the data non-linearly, thus revealing hierarchical relationships and structures...
December 10, 2018: IEEE Reviews in Biomedical Engineering
https://read.qxmd.com/read/30371387/acoustic-methods-for-pulmonary-diagnosis
#6
Adam Rao, Emily Huynh, Thomas Royston, Aaron Kornblith, Shuvo Roy
Recent developments in sensor technology and computational analysis methods enable new strategies to measure and interpret lung acoustic signals that originate internally, such as breathing or vocal sounds, or are externally introduced, such as in chest percussion or airway insonification. A better understanding of these sounds has resulted in new instrumentation that allows for highly accurate as well as portable options for measurement in the hospital, in the clinic, and even at home. This review outlines instrumentation for acoustic stimulation and measurement of the lungs...
October 29, 2018: IEEE Reviews in Biomedical Engineering
https://read.qxmd.com/read/30334808/review-of-2d-3d-reconstruction-using-statistical-shape-and-intensity-models-and-x-ray-image-synthesis-towards-a-unified-framework
#7
Cornelius J F Reyneke, Marcel Luthi, Valerie Burdin, Tania S Douglas, Thomas Vetter, Tinashe E M Mutsvangwa
Patient-specific three-dimensional (3D) bone models are useful for a number of clinical applications such as surgery planning, postoperative evaluation as well as implant and prosthesis design. Two--dimensional--to--three--dimensional (2D/3D) reconstruction, also known as model-to-modality or atlas--based 2D/3D registration, provides a means of obtaining a 3D model of a patient's bone(s) from their 2D radiographs, when 3D imaging modalities are not available. The preferred approach to estimating both shape and density information (that would be present in a patient's CT data) for 2D/3D reconstruction makes use of digitally reconstructed radiographs and deformable models in an iterative, non-rigid, intensity-based approach...
October 17, 2018: IEEE Reviews in Biomedical Engineering
https://read.qxmd.com/read/30307876/a-novel-fes-strategy-for-post-stroke-rehabilitation-based-on-the-natural-organization-of-neuromuscular-control
#8
Vincent Chi-Kwan Cheung, Chuanxin Minos Niu, Si Li, Qing Xie, Ning Lan
The past decades have witnessed remarkable progresses in neural technologies such as functional electrical stimulation (FES) and their applications in neuro-rehabilitation and neuromodulation. These advances are powered by new neuroscientific understandings of the organization and compositionality of neuromuscular control illuminating how muscle groups may be activated together as discrete units known as muscle synergies. These parallel developments have promoted novel approaches to clinical rehabilitation for neurological disorders that are insurmountable to current treatments...
October 11, 2018: IEEE Reviews in Biomedical Engineering
https://read.qxmd.com/read/30307875/advances-in-acoustic-signal-processing-techniques-for-enhanced-bowel-sound-analysis
#9
Gary Allwood, Xuhao Du, Mary Webberley, Adam Osseiran, Barry James Marshall
With the invention of the electronic stethoscope and other similar recording and data logging devices, acoustic signal processing concepts and methods can now be applied to bowel sounds. In this paper, the literature pertaining to acoustic signal processing for bowel sound analysis is reviewed and discussed. The article outlines some of the fundamental approaches and machine learning principles that may be used in bowel sound analysis. The advances in signal processing techniques that have allowed useful information to be obtained from bowel sounds from an historical perspective is provided...
October 11, 2018: IEEE Reviews in Biomedical Engineering
https://read.qxmd.com/read/30295628/maximizing-data-transmission-rate-for-implantable-devices-over-a-single-inductive-link-methodological-review
#10
Aref Trigui, Sami Hached, Ahmed Ammari, Yvon Savaria, Mohamad Sawan
Due to the constantly growing geriatric population and the projected increase of the prevalence of chronic diseases that are refractory to drugs, Implantable Medical Devices (IMDs) such as neurostimulators, endoscopic capsules, artificial retinal prostheses, and brain-machine interfaces are being developed. According to many business forecast firms, the IMD market is expected to grow and they are subject to much research aiming to overcome the numerous challenges of their development. One of these challenges consists of designing a wireless power and data transmission system that has high power efficiency, highdata rates, low power consumption, and high-robustness against noise...
October 4, 2018: IEEE Reviews in Biomedical Engineering
https://read.qxmd.com/read/30188840/the-promise-of-mobile-technologies-for-the-health-care-system-in-the-developing-world-a-systematic-review
#11
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
https://read.qxmd.com/read/30176605/methods-for-high-resolution-electrical-mapping-in-the-gastrointestinal-tract
#12
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
https://read.qxmd.com/read/30106692/learning-for-personalised-medicine-a-comprehensive-review-from-deep-learning-perspective
#13
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
https://read.qxmd.com/read/30004887/cohort-harmonization-and-integrative-analysis-from-a-biomedical-engineering-perspective
#14
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
https://read.qxmd.com/read/29994405/current-and-emerging-diagnostic-imaging-based-techniques-for-assessment-of-osteoporosis-and-fracture-risk
#15
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
https://read.qxmd.com/read/29994684/technology-enabled-assessment-of-functional-health
#16
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
https://read.qxmd.com/read/29994664/a-review-of-implant-communication-technology-in-wban-progresses-and-challenges
#17
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
https://read.qxmd.com/read/29993722/dynamic-handwriting-analysis-for-the-assessment-of-neurodegenerative-diseases-a-pattern-recognition-perspective
#18
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
https://read.qxmd.com/read/29993644/review-of-computational-techniques-for-performance-evaluation-of-rf-localization-inside-the-human-body
#19
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
https://read.qxmd.com/read/29993840/hydrogels-for-advanced-stem-cell-therapies-a-biomimetic-materials-approach-for-enhancing-natural-tissue-function
#20
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
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