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https://www.readbyqxmd.com/read/28227915/relationship-between-magnitude-of-applied-torque-in-pre-swing-phase-and-gait-change-for-prevention-of-trip-in-elderly-people
#1
Tamon Miyake, Mariko Tsukune, Yo Kobayashi, Shigeki Sugano, Masakatsu G Fujie, Tamon Miyake, Mariko Tsukune, Yo Kobayashi, Shigeki Sugano, Masakatsu G Fujie, Shigeki Sugano, Tamon Miyake, Masakatsu G Fujie, Yo Kobayashi, Mariko Tsukune
Elderly people are at risk of tripping because of their narrow range of articular motion. To avoid tripping, gait training that improves their range of articular motion would be beneficial. In this study we propose a gait-training robot that applies a torque during the pre-swing phase to achieve this goal. We investigated the relationship between magnitude of applied torque and change in the range of knee-articular motion while walking before and after the application of this torque. We developed a wearable robot and carried out an experiment on human participants in which a motor pulls a string embedded on the robotic frame, applying torque in the pre-swing phase for a period of 20 [s]...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227840/virtual-reality-for-pediatric-neuro-rehabilitation-adaptive-visual-feedback-of-movement-to-engage-the-mirror-neuron-system
#2
Roopeswar Kommalapati, Konstantinos P Michmizos, Roopeswar Kommalapati, Konstantinos P Michmizos, Roopeswar Kommalapati, Konstantinos P Michmizos
Sensorimotor therapy gives optimal results when patients are cognitively engaged into highly repetitive tasks, a goal that most children find hard to pursue. This paper presents the key developments of our ongoing effort to design an interactive rehabilitation environment that motivates physically impaired children throughout their therapy. The continuous motivation is achieved by the system adapting fundamental therapeutic components to the performance of each child. The relevant movement is mirrored to an animated character projected in front of the child...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227651/adaptive-control-of-powered-transfemoral-prostheses-based-on-adaptive-dynamic-programming
#3
Yue Wen, Ming Liu, Jennie Si, He Helen Huang, Yue Wen, Ming Liu, Jennie Si, He Huang, He Helen Huang, Yue Wen, Ming Liu, Jennie Si
In this study, we developed and tested a novel adaptive controller for powered transfemoral prostheses. Adaptive dynamic programming (ADP) was implemented within the prosthesis control to complement the existing finite state impedance control (FS-IC) in a prototypic active-transfemoral prosthesis (ATP). The ADP controller interacts with the human user-prosthesis system, observes the prosthesis user's dynamic states during walking, and learns to personalize user performance properties via online adaptation to meet the individual user's objectives...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227469/building-a-more-diverse-biomedical-engineering-workforce-biomedical-engineering-at-the-university-of-the-district-of-columbia-a-historically-black-college-university
#4
Lara A Thompson, A Segun Adebayo, Nian Zhang, Sasan Haghani, Kathleen Dowell, Devdas Shetty, Lara A Thompson, A Segun Adebayo, Nian Zhang, Sasan Haghani, Kathleen Dowell, Devdas Shetty, A Segun Adebayo, Sasan Haghani, Kathleen Dowell, Lara A Thompson, Devdas Shetty, Nian Zhang
Biomedical Engineering (BME) is a new, multidisciplinary, and rapidly growing field, however, the BME Workforce suffers from limited ethnic and gender diversity. Despite the demand and growth of this new field due to its public health importance, only 4 out of the 107 Historically Black Colleges and Universities (HBCUs) nationwide offers a Bachelor's of Science (B.S.) in Bio-Engineering related fields. In order to contribute to a growing BME Workforce, HBCUs need to react and offer more degree-programs relevant to BME...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227165/reward-value-is-encoded-in-primary-somatosensory-cortex-and-can-be-decoded-from-neural-activity-during-performance-of-a-psychophysical-task
#5
David B McNiel, John S Choi, John P Hessburg, Joseph T Francis, David B McNiel, John S Choi, John P Hessburg, Joseph T Francis, John P Hessburg, Joseph T Francis, John S Choi, David B McNiel
Encoding of reward valence has been shown in various brain regions, including deep structures such as the substantia nigra as well as cortical structures such as the orbitofrontal cortex. While the correlation between these signals and reward valence have been shown in aggregated data comprised of many trials, little work has been done investigating the feasibility of decoding reward valence on a single trial basis. Towards this goal, one non-human primate (macaca radiata) was trained to grip and hold a target level of force in order to earn zero, one, two, or three juice rewards...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227053/the-effects-of-deep-network-topology-on-mortality-prediction
#6
Hao Du, Mohammad M Ghassemi, Mengling Feng, Hao Du, Mohammad M Ghassemi, Mengling Feng, Mengling Feng, Hao Du, Mohammad M Ghassemi
Deep learning has achieved remarkable results in the areas of computer vision, speech recognition, natural language processing and most recently, even playing Go. The application of deep-learning to problems in healthcare, however, has gained attention only in recent years, and it's ultimate place at the bedside remains a topic of skeptical discussion. While there is a growing academic interest in the application of Machine Learning (ML) techniques to clinical problems, many in the clinical community see little incentive to upgrade from simpler methods, such as logistic regression, to deep learning...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226968/discriminating-clinical-phases-of-recovery-from-major-depressive-disorder-using-the-dynamics-of-facial-expression
#7
Sahar Harati, Andrea Crowell, Helen Mayberg, Jun Kong, Shamim Nemati, Sahar Harati, Andrea Crowell, Helen Mayberg, Jun Kong, Shamim Nemati, Andrea Crowell, Helen Mayberg, Jun Kong, Shamim Nemati, Sahar Harati
We used several metrics of variability to extract unsupervised features from video recordings of patients before and after deep brain stimulation (DBS) treatment for major depressive disorder (MDD). Our goal was to quantify the treatment effects on facial expressivity. Multiscale entropy (MSE) was used to capture the temporal variability in pixel intensity level at multiple time-scales. A dynamic latent variable model (DLVM) was used to learn a low dimensional (D = 20) set of dynamic factors that explain the observed covariance across the high-dimensional pixels (M = 30 × 30) within each video frame and across time...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226619/application-of-semi-supervised-deep-learning-to-lung-sound-analysis
#8
Daniel Chamberlain, Rahul Kodgule, Daniela Ganelin, Vivek Miglani, Richard Ribon Fletcher, Daniel Chamberlain, Rahul Kodgule, Daniela Ganelin, Vivek Miglani, Richard Ribon Fletcher, Vivek Miglani, Daniel Chamberlain, Richard Ribon Fletcher, Rahul Kodgule, Daniela Ganelin
The analysis of lung sounds, collected through auscultation, is a fundamental component of pulmonary disease diagnostics for primary care and general patient monitoring for telemedicine. Despite advances in computation and algorithms, the goal of automated lung sound identification and classification has remained elusive. Over the past 40 years, published work in this field has demonstrated only limited success in identifying lung sounds, with most published studies using only a small numbers of patients (typically N<;20) and usually limited to a single type of lung sound...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226608/heart-beat-characterization-from-ballistocardiogram-signals-using-extended-functions-of-multiple-instances
#9
Changzhe Jiao, Princess Lyons, Alina Zare, Licet Rosales, Marjorie Skubic, Changzhe Jiao, Princess Lyons, Alina Zare, Licet Rosales, Marjorie Skubic, Princess Lyons, Alina Zare, Changzhe Jiao, Marjorie Skubic, Licet Rosales
A multiple instance learning (MIL) method, extended Function of Multiple Instances (eFUMI), is applied to ballistocardiogram (BCG) signals produced by a hydraulic bed sensor. The goal of this approach is to learn a personalized heartbeat "concept" for an individual. This heartbeat concept is a prototype (or "signature") that characterizes the heartbeat pattern for an individual in ballistocardiogram data. The eFUMI method models the problem of learning a heartbeat concept from a BCG signal as a MIL problem...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28223854/mohs-surgical-reconstruction-educational-activity-a-resident-education-tool
#10
Julie A Croley, C Helen Malone, Brandon P Goodwin, Linda G Phillips, Eric L Cole, Richard F Wagner
BACKGROUND: Surgical reconstructive planning following Mohs surgery can be a difficult subject for dermatology residents to master. Prior research demonstrates that active learning is preferred and more effective compared to passive learning models and that dermatology residents desire greater complexity and volume in surgical training. We present a novel, active, problem-based learning tool for the education of Mohs reconstruction with the goal of improving residents' ability to plan surgical reconstructions...
2017: Advances in Medical Education and Practice
https://www.readbyqxmd.com/read/28222546/recovering-functional-independence-after-a-stroke-through-modified-constraint-induced-therapy
#11
A Doussoulin, M Arancibia, J Saiz, A Silva, M Luengo
BACKGROUND: Population ageing and changes in the epidemiological profile of neurological pathologies has resulted in an increase in patients with disabilities. Rehabilitation strategies such as Modified Constraint-Induced Movement Therapy (CIMTm) play a key role in treating patients with neurologic deficiencies and motor impairments. This intervention is intended to mitigate disability, promote maximum functional independence, and optimize social and economic participation of patients with upper extremity weakness...
January 31, 2017: NeuroRehabilitation
https://www.readbyqxmd.com/read/28222363/very-short-term-reactive-forecasting-of-the-solar-ultraviolet-index-using-an-extreme-learning-machine-integrated-with-the-solar-zenith-angle
#12
Ravinesh C Deo, Nathan Downs, Alfio V Parisi, Jan F Adamowski, John M Quilty
Exposure to erythemally-effective solar ultraviolet radiation (UVR) that contributes to malignant keratinocyte cancers and associated health-risk is best mitigated through innovative decision-support systems, with global solar UV index (UVI) forecast necessary to inform real-time sun-protection behaviour recommendations. It follows that the UVI forecasting models are useful tools for such decision-making. In this study, a model for computationally-efficient data-driven forecasting of diffuse and global very short-term reactive (VSTR) (10-min lead-time) UVI, enhanced by drawing on the solar zenith angle (θs) data, was developed using an extreme learning machine (ELM) algorithm...
February 18, 2017: Environmental Research
https://www.readbyqxmd.com/read/28222058/classifiers-for-accelerometer-measured-behaviors-in-older-women
#13
Dori Rosenberg, Suneeta Godbole, Katherine Ellis, Chongzhi DI, Andrea Lacroix, Loki Natarajan, Jacqueline Kerr
PURPOSE: Machine learning methods could better improve the detection of specific types of physical activities and sedentary behaviors from accelerometer data. No studies in older populations have developed and tested algorithms for walking and sedentary time in free-living daily life. Our goal was to rectify this gap by leveraging access to data from two studies in older women. METHODS: In study 1, algorithms were developed and tested in a sample of older women (N = 39, age range = 55-96 yr) in the field...
March 2017: Medicine and Science in Sports and Exercise
https://www.readbyqxmd.com/read/28221085/goal-relevance-as-a-quantitative-model-of-human-task-relevance
#14
James Tanner, Laurent Itti
The concept of relevance is used ubiquitously in everyday life. However, a general quantitative definition of relevance has been lacking, especially as pertains to quantifying the relevance of sensory observations to one's goals. We propose a theoretical definition for the information value of data observations with respect to a goal, which we call "goal relevance." We consider the probability distribution of an agent's subjective beliefs over how a goal can be achieved. When new data are observed, its goal relevance is measured as the Kullback-Leibler divergence between belief distributions before and after the observation...
March 2017: Psychological Review
https://www.readbyqxmd.com/read/28220796/beyond-the-classic-vta-extended-amygdala-projections-to-da-striatal-paths-in-the-primate
#15
Julie L Fudge, Emily A Kelly, Ria Pal, Joseph L Bedont, Lydia Park, Brian Ho
The central extended amygdala (CEA) has been conceptualized as a 'macrosystem' that regulates various stress-induced behaviors. Consistent with this, the CEA highly expresses corticotropin releasing factor (CRF), an important modulator of stress responses. Stress alters goal-directed responses associated with striatal paths, including maladaptive responses such as drug seeking, social withdrawal, and compulsive behavior. CEA inputs to the midbrain dopamine (DA) system are positioned to influence striatal functions through mesolimbic DA-striatal pathways...
February 21, 2017: Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology
https://www.readbyqxmd.com/read/28220625/predicting-gene-expression-in-massively-parallel-reporter-assays-a-comparative-study
#16
Anat Kreimer, Haoyang Zeng, Matthew D Edwards, Yuchun Guo, Kevin Tian, Sunyoung Shin, Rene Welch, Michael Wainberg, Rahul Mohan, Nicholas A Sinnott-Armstrong, Yue Li, Gökcen Eraslan, Talal Bin Amin, Jonathan Goke, Nikola S Mueller, Manolis Kellis, Anshul Kundaje, Michael A Beer, Sunduz Keles, David K Gifford, Nir Yosef
In many human diseases, associated genetic changes tend to occur within non-coding regions, whose effect might be related to transcriptional control. A central goal in human genetics is to understand the function of such non-coding regions: Given a region that is statistically associated with changes in gene expression (expression Quantitative Trait Locus; eQTL), does it in fact play a regulatory role? And if so, how is this role "coded" in its sequence? These questions were the subject of the Critical Assessment of Genome Interpretation eQTL challenge...
February 21, 2017: Human Mutation
https://www.readbyqxmd.com/read/28220477/parent-child-learning-interactions-a-review-of-the-literature-on-scaffolding
#17
Roni Mermelshtine
BACKGROUND: Scaffolding can be observed during learning-based interactions, when interventions by parents are adjusted according to children's observed abilities, with the main goal of enabling the child to work independently (Wood et al., 1976, Journal of child psychology and psychiatry, 17, 89). Such contingent instruction behaviours occur from infancy, and are said to be relevant for children's development of executive function, language acquisition, and cognitive and academic abilities...
February 21, 2017: British Journal of Educational Psychology
https://www.readbyqxmd.com/read/28220025/management-of-cancer-in-the-older-age-person-an-approach-to-complex-medical-decisions
#18
Maria Vallet-Regí, Miguel Manzano, Leocadio Rodriguez-Mañas, Marta Checa López, Matti Aapro, Lodovico Balducci
The management of cancer in older aged people is becoming a common problem due to the aging of the population. There are many variables determining the complex situation that are interconnected. Some of them can be assessed, such as risk of mortality and risk of treatment complications, but many others are still unknown, such as the course of disease, the host-related factors that influence cancer aggressiveness, and the phenotype heralding risk of permanent treatment-related damage.This article presents a dynamic and personalized approach to older people with cancer based on our experience on aging, cancer, and their biological interactions...
February 20, 2017: Oncologist
https://www.readbyqxmd.com/read/28217305/redesigning-care-delivery-with-patient-support-personnel-learning-from-accountable-care-organizations
#19
Ksenia O Gorbenko, Taressa Fraze, Valerie A Lewis
INTRODUCTION: Accountable care organizations (ACOs) are a value-based payment model in the United States rooted in holding groups of healthcare providers financially accountable for the quality and total cost of care of their attributed population. To succeed in reaching their quality and efficiency goals, ACOs implement a variety of care delivery changes, including workforce redesign. Patient support personnel (PSP)-non-physician staff such as care coordinators, community health workers, and others-are critical to restructuring care delivery...
September 2016: Int J Care Coord
https://www.readbyqxmd.com/read/28215375/challenges-and-lessons-learned-from-a-prevention-research-center-partnership
#20
EDITORIAL
Lesley Cottrell, Karen Northrup, Richard Wittberg
For more than a decade, the West Virginia Prevention Research Center, Mid-Ohio Valley Health Department, and the Wood County Schools have built and sustained a partnership to reduce health disparities and promote population health. Specifically, this partnership has contributed significantly to the peer-reviewed literature on children's physical activity, fitness, and academic achievement, as well as identifying possible areas for physical activity interventions (within the school and community settings) that would improve health and academic outcomes...
March 2017: American Journal of Preventive Medicine
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