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https://www.readbyqxmd.com/read/28814025/learning-from-demonstration-teaching-a-myoelectric-prosthesis-with-an-intact-limb-via-reinforcement-learning
#1
Gautham Vasan, Patrick M Pilarski
Prosthetic arms should restore and extend the capabilities of someone with an amputation. They should move naturally and be able to perform elegant, coordinated movements that approximate those of a biological arm. Despite these objectives, the control of modern-day prostheses is often nonintuitive and taxing. Existing devices and control approaches do not yet give users the ability to effect highly synergistic movements during their daily-life control of a prosthetic device. As a step towards improving the control of prosthetic arms and hands, we introduce an intuitive approach to training a prosthetic control system that helps a user achieve hard-to-engineer control behaviours...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28814023/representing-high-dimensional-data-to-intelligent-prostheses-and-other-wearable-assistive-robots-a-first-comparison-of-tile-coding-and-selective-kanerva-coding
#2
Jaden B Travnik, Patrick M Pilarski
Prosthetic devices have advanced in their capabilities and in the number and type of sensors included in their design. As the space of sensorimotor data available to a conventional or machine learning prosthetic control system increases in dimensionality and complexity, it becomes increasingly important that this data be represented in a useful and computationally efficient way. Well structured sensory data allows prosthetic control systems to make informed, appropriate control decisions. In this study, we explore the impact that increased sensorimotor information has on current machine learning prosthetic control approaches...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813999/upper-limb-prosthetic-control-using-wearable-multichannel-mechanomyography
#3
Samuel Wilson, Ravi Vaidyanathan
In this paper we introduce a robust multi-channel wearable sensor system for capturing user intent to control robotic hands. The interface is based on a fusion of inertial measurement and mechanomyography (MMG), which measures the vibrations of muscle fibres during motion. MMG is immune to issues such as sweat, skin impedance, and the need for a reference signal that is common to electromyography (EMG). The main contributions of this work are: 1) the hardware design of a fused inertial and MMG measurement system that can be worn on the arm, 2) a unified algorithm for detection, segmentation, and classification of muscle movement corresponding to hand gestures, and 3) experiments demonstrating the real-time control of a commercial prosthetic hand (Bebionic Version 2)...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813990/a-learning-based-agent-for-home-neurorehabilitation
#4
Andreas Lydakis, Yuanliang Meng, Christopher Munroe, Yi-Ning Wu, Momotaz Begum
This paper presents the iterative development of an artificially intelligent system to promote home-based neurorehabilitation. Although proper, structured practice of rehabilitation exercises at home is the key to successful recovery of motor functions, there is no home-program out there which can monitor a patient's exercise-related activities and provide corrective feedback in real time. To this end, we designed a Learning from Demonstration (LfD) based home-rehabilitation framework that combines advanced robot learning algorithms with commercially available wearable technologies...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813937/towards-quantifying-dynamic-human-human-physical-interactions-for-robot-assisted-stroke-therapy
#5
Mayumi Mohan, Rochelle Mendonca, Michelle J Johnson
Human-Robot Interaction is a prominent field of robotics today. Knowledge of human-human physical interaction can prove vital in creating dynamic physical interactions between human and robots. Most of the current work in studying this interaction has been from a haptic perspective. Through this paper, we present metrics that can be used to identify if a physical interaction occurred between two people using kinematics. We present a simple Activity of Daily Living (ADL) task which involves a simple interaction...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813911/design-and-kinematic-analysis-of-a-novel-upper-limb-exoskeleton-for-rehabilitation-of-stroke-patients
#6
Amin Zeiaee, Rana Soltani-Zarrin, Reza Langari, Reza Tafreshi
This paper details the design process and features of a novel upper limb rehabilitation exoskeleton named CLEVER (Compact, Low-weight, Ergonomic, Virtual/Augmented Reality Enhanced Rehabilitation) ARM. The research effort is focused on designing a lightweight and ergonomic upper-limb rehabilitation exoskeleton capable of producing diverse and perceptually rich training scenarios. To this end, the knowledge available in the literature of rehabilitation robotics is used along with formal conceptual design techniques...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813910/reference-path-generation-for-upper-arm-exoskeletons-considering-scapulohumeral-rhythms
#7
Rana Soltani-Zarrin, Amin Zeiaee, Reza Langari, Nina Robson
This paper proposes a reference path generation method for upper-limb rehabilitation exoskeletons considering the scapulohumeral rhythms of the shoulder. The developed method is based on Central Nervous System's (CNS) governing rules for coordination of arm motions, and to the best of our knowledge is the first computational model to consider the motion of the inner shoulder in path generation. Existing reference generation methods which utilize computational models such as minimum jerk, minimum torque, etc, are based on the assumption that the shoulder joint does not move, and the origin of the reference frame is defined at the center of the glenohumeral (GH) joint...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813797/improving-motor-skill-transfer-during-dyadic-robot-training-through-the-modulation-of-the-expert-role
#8
Elisa Galofaro, Pietro Morasso, Jacopo Zenzeri
In daily life it is necessary to learn skills that can be applied in different tasks and different contexts. Usually these skills are acquired by observation or by direct physical training with another expert person. The critical point is to know which is the best possible way to achieve this knowledge acquisition. In this work we have proposed a collaborative environment where subjects with different levels of expertise have to interact through the use of a robotic platform. A motor skill learning algorithm has been designed in order to allow the less skilled subjects-naïves-to explore the virtual environment and to exploit the advantages of working with a skilled partner...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813701/uterine-cervical-length-measurement-to-reduce-length-of-stay-in-patients-admitted-for-threatened-preterm-labor-a-randomized-trial
#9
Montse Palacio, Javier Caradeux, Miriam Sánchez, Teresa Cobo, Francesc Figueras, Oriol Coll, Eduard Gratacós, Vicenç Cararach
OBJECTIVE: To study whether knowledge of cervical length (CL) is useful in reducing the length of hospital stay in women admitted because of threatened preterm labor. METHODS: We performed a single-center, parallel, randomized trial at the Hospital Clínic of Barcelona. Inclusion criteria were single pregnancy, gestational age (GA) between 24+0 and 35+6 weeks, Bishop score <6, no parturition within 24-48 h after admission, and no clinical signs of chorioamnionitis, vaginal bleeding, or nonreassuring fetal status...
August 17, 2017: Fetal Diagnosis and Therapy
https://www.readbyqxmd.com/read/28813699/t1-and-t2-mapping-in-cardiology-mapping-the-obscure-object-of-desire
#10
Sophie Mavrogeni, Dimitris Apostolou, Panayiotis Argyriou, Stella Velitsista, Lilika Papa, Stelios Efentakis, Evangelos Vernardos, Mikela Kanoupaki, George Kanoupakis, Athanassios Manginas
The increasing use of cardiovascular magnetic resonance (CMR) is based on its capability to perform biventricular function assessment and tissue characterization without radiation and with high reproducibility. The use of late gadolinium enhancement (LGE) gave the potential of non-invasive biopsy for fibrosis quantification. However, LGE is unable to detect diffuse myocardial disease. Native T1 mapping and extracellular volume fraction (ECV) provide knowledge about pathologies affecting both the myocardium and interstitium that is otherwise difficult to identify...
August 17, 2017: Cardiology
https://www.readbyqxmd.com/read/28813639/exploitation-of-gene-expression-and-cancer-biomarkers-in-paving-the-path-to-era-of-personalized-medicine
#11
REVIEW
Hala Fawzy Mohamed Kamel, Hiba Saeed A Bagader Al-Amodi
Cancer therapy agents have been used extensively as cytotoxic drugs against tissue or organ of a specific type of cancer. With the better understanding of molecular mechanisms underlying carcinogenesis and cellular events during cancer progression and metastasis, it is now possible to use targeted therapy for these molecular events. Targeted therapy is able to identify cancer patients with dissimilar genetic defects at cellular level for the same cancer type and consequently requires individualized approach for treatment...
August 13, 2017: Genomics, Proteomics & Bioinformatics
https://www.readbyqxmd.com/read/28813535/modeling-hypothermia-induced-effects-for-the-heterogeneous-ventricular-tissue-from-cellular-level-to-the-impact-on-the-ecg
#12
Roland Kienast, Michael Handler, Markus Stöger, Daniel Baumgarten, Friedrich Hanser, Christian Baumgartner
Hypothermia has a profound impact on the electrophysiological mechanisms of the heart. Experimental investigations provide a better understanding of electrophysiological alterations associated with cooling. However, there is a lack of computer models suitable for simulating the effects of hypothermia in cardio-electrophysiology. In this work, we propose a model that describes the cooling-induced electrophysiological alterations in ventricular tissue in a temperature range from 27°C to 37°C. To model the electrophysiological conditions in a 3D left ventricular tissue block it was essential to consider the following anatomical and physiological parameters in the model: the different cell types (endocardial, M, epicardial), the heterogeneous conductivities in longitudinal, transversal and transmural direction depending on the prevailing temperature, the distinct fiber orientations and the transmural repolarization sequences...
2017: PloS One
https://www.readbyqxmd.com/read/28813513/validation-of-commercial-mas-receptor-antibodies-for-utilization-in-western-blotting-immunofluorescence-and-immunohistochemistry-studies
#13
Valeria Burghi, Natalia Cristina Fernández, Yamila Belén Gándola, Verónica Gabriela Piazza, Diego Tomás Quiroga, Érica Guilhen Mario, Janaína Felix Braga, Michael Bader, Robson Augusto Souza Santos, Fernando Pablo Dominici, Marina Cecilia Muñoz
Mas receptor (MasR) is a G protein-coupled receptor proposed as a candidate for mediating the angiotensin (Ang)-converting enzyme 2-Ang (1-7) protective axis of renin-angiotensin system. Because the role of this receptor is not definitively clarified, determination of MasR tissue distribution and expression levels constitutes a critical knowledge to fully understanding its function. Commercially available antibodies have been widely employed for MasR protein localization and quantification, but they have not been adequately validated...
2017: PloS One
https://www.readbyqxmd.com/read/28813509/associations-of-particulate-matter-and-its-components-with-emergency-room-visits-for-cardiovascular-and-respiratory-diseases
#14
Sung-Hee Hwang, Jae Young Lee, Seung-Muk Yi, Ho Kim
Numerous studies have revealed an association between particulate matter (PM) and emergency room (ER) visits, although few studies have investigated the association between health and PM components. The present study evaluated the associations of ER visits for cardiovascular and respiratory diseases with PM2.5 components, including organic carbon (OC), elemental carbon (EC), and ion species (SO42-, NO3-, and NH4+). Statistical analyses were performed using the time-series approach, and generalized linear models with natural spline functions were used to adjust for the non-linear relationship between the confounders and ER visits...
2017: PloS One
https://www.readbyqxmd.com/read/28813454/applying-machine-learning-to-identify-autistic-adults-using-imitation-an-exploratory-study
#15
Baihua Li, Arjun Sharma, James Meng, Senthil Purushwalkam, Emma Gowen
Autism spectrum condition (ASC) is primarily diagnosed by behavioural symptoms including social, sensory and motor aspects. Although stereotyped, repetitive motor movements are considered during diagnosis, quantitative measures that identify kinematic characteristics in the movement patterns of autistic individuals are poorly studied, preventing advances in understanding the aetiology of motor impairment, or whether a wider range of motor characteristics could be used for diagnosis. The aim of this study was to investigate whether data-driven machine learning based methods could be used to address some fundamental problems with regard to identifying discriminative test conditions and kinematic parameters to classify between ASC and neurotypical controls...
2017: PloS One
https://www.readbyqxmd.com/read/28813438/heritability-estimation-using-a-regularized-regression-approach-herra-applicable-to-continuous-dichotomous-or-age-at-onset-outcome
#16
Malka Gorfine, Sonja I Berndt, Jenny Chang-Claude, Michael Hoffmeister, Loic Le Marchand, John Potter, Martha L Slattery, Nir Keret, Ulrike Peters, Li Hsu
The popular Genome-wide Complex Trait Analysis (GCTA) software uses the random-effects models for estimating the narrow-sense heritability based on GWAS data of unrelated individuals without knowing and identifying the causal loci. Many methods have since extended this approach to various situations. However, since the proportion of causal loci among the variants is typically very small and GCTA uses all variants to calculate the similarities among individuals, the estimation of heritability may be unstable, resulting in a large variance of the estimates...
2017: PloS One
https://www.readbyqxmd.com/read/28813340/athletes-with-eating-disorder-symptomatology-a-specific-population-with-specific-needs
#17
REVIEW
A P Karin de Bruin
This review presents recent studies into the prevalence, process, treatment and prevention of eating disorders in athletes. Most prevalence studies showed that increased risk for athletes exists. Methodological challenges for future prevalence studies concern the choice of methods, measurements, categorization, and sampling. To determine why athletes are at increased risk, more prospective studies using multi-factorial models and multiple risk pathways are needed. Epidemiological risk factor studies, however, do not provide us with a true understanding of the eating disorder process...
August 2017: Current Opinion in Psychology
https://www.readbyqxmd.com/read/28813109/assessment-of-inhibitory-control-in-crack-and-or-cocaine-users-a-systematic-review
#18
Fernanda Rasch Czermainski, Alice Rodrigues Willhelm, Álvaro Zaneti Santos, Mayra Pacheco Pachado, Rosa Maria Martins de Almeida
Objective: Impairments involving inhibitory control have been considered central deficits in drug users, but it appears that dysfunctions may be specific to users' drug of choice. This article aims to review recent findings on inhibitory control impairment in samples of crack and/or cocaine users. Methods: Searches were conducted on the PubMed, PsycINFO, and Web of Knowledge databases in two stages according to eligibility criteria. Initially, databases were searched and the titles and abstracts of results were analyzed and then selected articles were read in full...
August 14, 2017: Trends in Psychiatry and Psychotherapy
https://www.readbyqxmd.com/read/28813071/content-validation-clarity-relevance-reliability-and-internal-consistency-of-enunciative-signs-of-language-acquisition
#19
Anelise Henrich Crestani, Anaelena Bragança de Moraes, Ana Paula Ramos de Souza
Purpose: To analyze the results of the validation of building enunciative signs of language acquisition for children aged 3 to 12 months. Methods: The signs were built based on mechanisms of language acquisition in an enunciative perspective and on clinical experience with language disorders. The signs were submitted to judgment of clarity and relevance by a sample of six experts, doctors in linguistic in with knowledge of psycholinguistics and language clinic. In the validation of reliability, two judges/evaluators helped to implement the instruments in videos of 20% of the total sample of mother-infant dyads using the inter-evaluator method...
August 10, 2017: CoDAS
https://www.readbyqxmd.com/read/28813068/cultural-adaptation-of-the-short-self-regulation-questionnaire-suggestions-for-the-speech-area
#20
Anna Alice Almeida, Mara Behlau
Purpose: To present the translated and linguistic and culturally adapted version of the Short self-regulation Questionnaire (SSRQ) for the Brazilian Portuguese and to check its applicability to patients with dysphonia. Methods: The SSRQ is a tool used to evaluate the ability to self-regulate behavior; it has 31 items and generates three scores: total index of individual self-regulation capacity and partial scores for goal setting and impulse control. Each item should be scored by means of a Likert-type 5-point scale; the total score ranges from 29 to 145 points...
August 14, 2017: CoDAS
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