scholarly journals Electrotactile Feedback-Based Muscle Fatigue Alleviation for Hand Manipulation

2020 ◽  
pp. 2050024
Author(s):  
Kairu Li ◽  
Yu Zhou ◽  
Dalin Zhou ◽  
Jia Zeng ◽  
Yinfeng Fang ◽  
...  
Keyword(s):  
Muscle Fatigue ◽  
Functional Performance ◽  
Tactile Feedback ◽  
Phantom Pain ◽  
Multiple Channels ◽  
Comparable Performance ◽  
Signal Processing Algorithms ◽  
Novel Method ◽  
The Impact ◽  
Semg Signals

Tactile feedback is beneficial to improve the hand prosthesis performance, alleviate phantom pain, reduce muscle fatigue, etc. During the manipulation process, muscle fatigue not only causes discomfort to prosthesis users but also disturbs the surface electromyographic (sEMG)-based motion recognition, which significantly deteriorates the prosthesis functional performance. Efforts have been made to explore appropriate signal processing algorithms which could be less influenced by muscle fatigue. However, few studies concern how to alleviate muscle fatigue directly. Thus, this study proposes a novel method to avoid excessive muscle fatigue based on electrotactile feedback. A potable electrotactile stimulator is developed with adjustable parameters, multiple channels and wireless communication. It is implemented in a virtual hand grasping platform driven by sEMG signals to investigate the impact of tactile feedback on muscle fatigue. Experimental results show a higher success rate of grasping with electrotactile feedback than that with no feedback. Moreover, compared with grasp in the no feedback condition, there is an observable decrease of sEMG intensity when grasping a heavy object with electrotactile feedback, despite a comparable performance on the light and medium objects in both feedback conditions. It indicates that tactile feedback helps to alleviate muscle fatigue caused by excessive muscle contraction, especially when large strength is needed.

MEASUREMENT OF UPPER LIMB MUSCLE FATIGUE USING DEEP BELIEF NETWORKS

2016 ◽  
Vol 16 (08) ◽  
pp. 1640032 ◽  
Author(s):  
YI SU ◽  
SHILEI SUN ◽  
YUSUF OZTURK ◽  
MAO TIAN
Keyword(s):  
Muscle Fatigue ◽  
Promising Result ◽  
Selection Process ◽  
Upper Extremities ◽  
Belief Networks ◽  
Deep Belief Networks ◽  
Human Machine Interaction ◽  
The Status ◽  
Comparable Performance ◽  
Semg Signals

In recent years, a robust increasing interest has been observed in wearable devices featuring smart health, smart fitness, and human–machine interaction applications. While we gained some advances on use of surface electromyography (sEMG) signals recorded from upper extremities for controlling external devices, only limited attempt has been made to track the status of targeted muscles and forecast muscle fatigue onset. In this study, we address use of sEMG signals acquired from upper extremities to predict onset of muscle fatigue using deep belief networks (DBNs) as a learning mechanism. We demonstrate that a deep architecture can learn from raw data and provide comparable performance to feature-based approaches. Experimental results show that the DBNs model investigated in this study achieves an average classification accuracy of 85.3% without any subject-oriented calibration and achieves a best case accuracy of 97.60%. A transient-to-fatigue state is introduced before the fatigue onsets as an early warning state. The aim of this paper is to evaluate the performance of the popular deep models in real fatigue detection applications. The model provides a promising result compared with state-of-art works without any feature selection process, which could potentially generate better features while reducing the requirement for expertise in data.

115 The Impact of Burn Injury on Upper Extremity Prosthesis Users

2021 ◽  
Vol 42 (Supplement_1) ◽  
pp. S77-S77
Author(s):  
Jill M Cancio ◽  
Matthew Borgia ◽  
Leopoldo C Cancio ◽  
Linda Resnik
Keyword(s):  
Quality Of Life ◽  
Upper Extremity ◽  
Performance Testing ◽  
Hospital Length Of Stay ◽  
Shoulder Abduction ◽  
Phantom Pain ◽  
Assessment Procedure ◽  
Full Time ◽  
The Impact

Abstract Introduction Burns with upper extremity (UE) amputation present a unique rehabilitation challenge. The purpose of this study of UE amputees who are active prosthesis users was to compare outcomes for those with and without burns. Methods This is part of a larger nationwide study of U.S. military members and veterans with UE amputations. In-person data were collected at 5 sites. An therapist measured passive and active range of motion (PROM, AROM); administered the Quick Disability of the Arm, Shoulder, and Hand; Community Reintegration of Injured Service Members-Computer Adaptive-Test; Trinity Amputation and Prosthetic Experience Scale; health-related quality of life (VR-12); Activities Measure for Upper Extremity Amputees; Southampton Assessment Procedure; 9-Hole Peg Test; and Jebsen-Taylor Hand Function Test (JTHF); and recorded residual and phantom pain; timing of prosthesis receipt; and current prosthesis use. The IRB approved this study. Results Data were collected on 126 individuals with UE amputation, of whom 105 had data on etiology and were included. Of these, 13 (12.4%) had burns (B) vs non-burn (NB). The majority were unilateral amputees (69% B, 90% NB). Most were transradial (TR) amputees (B 84.6%, NB 66.3%) as opposed to transhumeral (TH). A minority received their prosthetics within the first 3 months post-amputation (11.1% B, 28.8% NB) (p=0.15). Average age was 57.6 (SD 15.6) years for NB and 53.0 (20.6) years for B. Mean time since amputation was 22.5 (18.0) years for NB and 25.2 (17.3) years for B. The following non-significant differences in outcomes between B and NB were observed. Thirty-nine percent of B were employed full-time vs 18.9% of NB (p=0.15). The primary prosthesis was, for NB, a body-powered prosthesis (66.7%); for B, myoelectric (50%) or body-powered (50%). For unilateral UE amputees, there were no differences between B and NB on performance testing for dexterity and functional tasks or in self-reported disability, quality of life or prevalence or intensity of pain. B trended towards more moderate to severe PROM deficits with shoulder forward flexion (TH B 50%, TH NB 23.1% [p=0.444]; TR B 20%, TR NB 5.6% [p=0.197]) and shoulder abduction (TH B 50%, TH NB 26.9% [p=0.497]; TR B 30%, TR NB 16.4% [p=0.376]). Also, TR amputees with burns trended towards more PROM deficits with elbow flexion (B 20%, NB 6.9% [p=0.212]) and elbow extension (B 20%, NB 8.6% [p=0.272]). AROM deficits also trended greater in B. Conclusions We did not observe differences in physical function, pain levels, or quality of life between those with and without burns. Further studies with larger samples are needed, to include analysis of burn location, burn size, hospital length of stay, and rehabilitation care.

Clinical Conundrums When Integrating the QbTest into a Standard ADHD Assessment of Children and Young People

2021 ◽  
Author(s):  
Carsten Vogt
Keyword(s):  
Clinical Practice ◽  
Clinical Decision Making ◽  
Ecological Validity ◽  
Neuropsychological Test ◽  
Real Life ◽  
Clinical Decision ◽  
Hyperactivity Disorder ◽  
Standard Clinical Practice ◽  
Novel Method ◽  
The Impact

AbstractThe uptake of the QbTest in clinical practice is increasing and has recently been supported by research evidence proposing its effectiveness in relation to clinical decision-making. However, the exact underlying process leading to this clinical benefit is currently not well established and requires further clarification. For the clinician, certain challenges arise when adding the QbTest as a novel method to standard clinical practice, such as having the skills required to interpret neuropsychological test information and assess for diagnostically relevant neurocognitive domains that are related to attention-deficit hyperactivity disorder (ADHD), or how neurocognitive domains express themselves within the behavioral classifications of ADHD and how the quantitative measurement of activity in a laboratory setting compares with real-life (ecological validity) situations as well as the impact of comorbidity on test results. This article aims to address these clinical conundrums in aid of developing a consistent approach and future guidelines in clinical practice.

scholarly journals Recovery facilitation with Montmorency cherries following high-intensity, metabolically challenging exercise

2015 ◽  
Vol 40 (4) ◽  
pp. 414-423 ◽  
Author(s):  
Phillip G. Bell ◽  
Ian H. Walshe ◽  
Gareth W. Davison ◽  
Emma J. Stevenson ◽  
Glyn Howatson
Keyword(s):  
High Intensity ◽  
Functional Performance ◽  
High Sensitivity ◽  
Lipid Hydroperoxides ◽  
Necrosis Factor Alpha ◽  
Maximum Voluntary Isometric Contraction ◽  
Exercise Induced ◽  
Post Trial ◽  
S Peak ◽  
The Impact

The impact of Montmorency tart cherry (Prunus cerasus L.) concentrate (MC) on physiological indices and functional performance was examined following a bout of high-intensity stochastic cycling. Trained cyclists (n = 16) were equally divided into 2 groups (MC or isoenergetic placebo (PLA)) and consumed 30 mL of supplement, twice per day for 8 consecutive days. On the fifth day of supplementation, participants completed a 109-min cycling trial designed to replicate road race demands. Functional performance (maximum voluntary isometric contraction (MVIC), cycling efficiency, 6-s peak cycling power) and delayed onset muscle soreness were assessed at baseline, 24, 48, and 72 h post-trial. Blood samples collected at baseline, immediately pre- and post-trial, and at 1, 3, 5, 24, 48, and 72 h post-trial were analysed for indices of inflammation (interleukin (IL)-1β, IL-6, IL-8, tumor necrosis factor alpha, high-sensitivity C-reactive protein (hsCRP)), oxidative stress (lipid hydroperoxides), and muscle damage (creatine kinase). MVIC (P < 0.05) did not decline in the MC group (vs. PLA) across the 72-h post-trial period and economy (P < 0.05) was improved in the MC group at 24 h. IL-6 (P < 0.001) and hsCRP (P < 0.05) responses to the trial were attenuated with MC (vs. PLA). No other blood markers were significantly different between MC and PLA groups. The results of the study suggest that Montmorency cherry concentrate can be an efficacious functional food for accelerating recovery and reducing exercise-induced inflammation following strenuous cycling exercise.

A Four Novel Energy Pattern Factor Method for Computation of Weibull Parameter in Impact Strength Reliability of Fibre-Reinforced Concrete

2018 ◽  
Vol 7 (3.12) ◽  
pp. 272
Author(s):  
Gayathri R ◽  
Murali. G ◽  
Parthiban Kathirvel ◽  
Haridharan M.K ◽  
Karthikeyan. K
Keyword(s):  
Reinforced Concrete ◽  
Impact Strength ◽  
Shape Parameter ◽  
Failure Strength ◽  
Fibre Reinforced Concrete ◽  
Test Results ◽  
Weibull Parameter ◽  
Impact Failure ◽  
Novel Method ◽  
The Impact

Impact strength data is a noteworthy factor for designing airport pavements, civilian and military structures etc and it is ought to be modelled precisely. In order to achieve an appropriate modelling data, it is important to select a suitable estimation method. One such commonly used statistical tool is the two parameter Weibull distribution for modelling impact failure strength accurately besides the variations in test results. This study statistically commandsthe variations in the impact failure strength (number of blows to induce failure) of fibre reinforced concrete (FRC) subjected to drop hammer test. Subsequently, a four-different novel method for the computation of Weibull parameter (Shape parameter) based on the earlier researchers test results has been proposed. The accuracy of the proposed four novel method is demonstrated by comparing with power density method and verified with goodness of fit test. Finally, the impact failure strength of FRC is offered in terms of reliability. The proposed four NEPFM is very suitable and efficient to compute the shape parameter in impact failure strength applications. 

scholarly journals A New Model Approach for Convective Wall Heat Losses in DQMOM-IEM Simulations for Turbulent Reactive Flows

2018 ◽  
Vol 141 (5) ◽  
Author(s):  
Yeshaswini Emmi ◽  
Andreas Fiolitakis ◽  
Manfred Aigner ◽  
Franklin Genin ◽  
Khawar Syed
Keyword(s):  
Experimental Data ◽  
Heat Losses ◽  
Reacting Flow ◽  
Jet Flame ◽  
New Model ◽  
Turbulent Reactive Flows ◽  
Novel Method ◽  
The One ◽  
The Impact ◽  
Model Approach

A new model approach is presented in this work for including convective wall heat losses in the direct quadrature method of moments (DQMoM) approach, which is used here to solve the transport equation of the one-point, one-time joint thermochemical probability density function (PDF). This is of particular interest in the context of designing industrial combustors, where wall heat losses play a crucial role. In the present work, the novel method is derived for the first time and validated against experimental data for the thermal entrance region of a pipe. The impact of varying model-specific boundary conditions is analyzed. It is then used to simulate the turbulent reacting flow of a confined methane jet flame. The simulations are carried out using the DLR in-house computational fluid dynamics code THETA. It is found that the DQMoM approach presented here agrees well with the experimental data and ratifies the use of the new convective wall heat losses model.

scholarly journals Effects of Muscle Fatigue and Recovery on Complexity of Surface Electromyography of Biceps Brachii

Entropy ◽  
2021 ◽  
Vol 23 (8) ◽  
pp. 1036
Author(s):  
Fuyuan Liao ◽  
Xueyan Zhang ◽  
Chunmei Cao ◽  
Isabella Yu-Ju Hung ◽  
Yanni Chen ◽  
...  
Keyword(s):  
Muscle Fatigue ◽  
Surface Electromyography ◽  
Biceps Brachii ◽  
Cupping Therapy ◽  
Nonlinear Method ◽  
Muscle Recovery ◽  
Sham Control ◽  
Semg Signal ◽  
Relative Change ◽  
Semg Signals

This study aimed to investigate the degree of regularity of surface electromyography (sEMG) signals during muscle fatigue during dynamic contractions and muscle recovery after cupping therapy. To the best of our knowledge, this is the first study assessing both muscle fatigue and muscle recovery using a nonlinear method. Twelve healthy participants were recruited to perform biceps curls at 75% of the 10 repetitions maximum under four conditions: immediately and 24 h after cupping therapy (−300 mmHg pressure), as well as after sham control (no negative pressure). Cupping therapy or sham control was assigned to each participant according to a pre-determined counter-balanced order and applied to the participant’s biceps brachii for 5 min. The degree of regularity of the sEMG signal during the first, second, and last 10 repetitions (Reps) of biceps curls was quantified using a modified sample entropy (Ems) algorithm. When exercise was performed immediately or 24 h after sham control, Ems of the sEMG signal showed a significant decrease from the first to second 10 Reps; when exercise was performed immediately after cupping therapy, Ems also showed a significant decrease from the first to second 10 Reps but its relative change was significantly smaller compared to the condition of exercise immediately after sham control. When exercise was performed 24 h after cupping therapy, Ems did not show a significant decrease, while its relative change was significantly smaller compared to the condition of exercise 24 h after sham control. These results indicated that the degree of regularity of sEMG signals quantified by Ems is capable of assessing muscle fatigue and the effect of cupping therapy. Moreover, this measure seems to be more sensitive to muscle fatigue and could yield more consistent results compared to the traditional linear measures.

scholarly journals Self-Directedness and Cooperativeness, Psychosocial Dysfunction and Suffering in ESSENCE

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Danilo Garcia ◽  
Henrik Anckarsäter ◽  
Sebastian Lundström
Keyword(s):  
Developmental Coordination Disorder ◽  
Population Level ◽  
Autism Spectrum ◽  
Severe Form ◽  
Therapeutic Interventions ◽  
Psychosocial Dysfunction ◽  
Hyperactivity Disorder ◽  
Character Inventory ◽  
Novel Method ◽  
The Impact

Background. The acronym ESSENCE (Early Symptomatic Syndromes Eliciting Neurodevelopmental Clinical Examinations) highlights that children seeking clinical treatment are often multiply impaired, thus requiring treatment from several specialties. The aim was to map and relate, on a population level, ESSENCE to two salient predictors of health and adaptation to adversities, namely, Self-Directedness and Cooperativeness and also to dysfunction and suffering.Methods. Participants were twins(N=1892)aged 9 or 12 whose parents were interviewed with the Autism-Tics, ADHD and other Comorbidities inventory (A-TAC), and the Junior Temperament and Character Inventory (J-TCI). The A-TAC was first used to discern four ESSENCE-related screening diagnoses: autism spectrum disorders, attention deficit hyperactivity disorder, learning disabilities, and developmental coordination disorder; second, to quantify dysfunction and suffering in important social areas.Results. ESSENCE symptoms were continuously and categorically associated with deficiency in Self-Directedness and Cooperativeness and higher ratings of dysfunction and suffering. The impact of ESSENCE symptoms on these measures of mental health was found in a milder form in about 16% of all children and in a severe form in about 2%.Conclusion. Therapeutic interventions focusing on Self-Directedness and Cooperativeness might provide a novel method for child psychiatry in its approach to ESSENCE.

Assessment of impact of information and ballistic launch support factors on mission realizability by aircraft formations

2021 ◽  
Author(s):  
V.N. Zakharov ◽  
G.V. Kazakov ◽  
N.N. Kotyashev
Keyword(s):  
Performance Indicators ◽  
Functional Performance ◽  
Optimization Process ◽  
Analysis And Synthesis ◽  
Main Factors ◽  
Technical Systems ◽  
The Impact ◽  
Integral Indicator

Sensitivity plays an important role in the analysis and synthesis of technical systems no matter what complexity or purpose, that is in assessing their accuracy, determining and selecting tolerances for their parameters, or in any optimization process. One of the most important objectives of the information and ballistic launch support, along with the provision of launch data, is to increase the efficiency of aircraft in performing their missions. Therefore, it is of high relevance to assess the function of sensitivity and the function of influence of the information and ballistic launch support on the effectiveness of the functional performance of aircraft formations and ensure, at acceptable costs, the fullest use of their structural and ballistic capabilities. In this paper, we defined and evaluated functions of sensitivity and functions of influence of the main factors of information and ballistic launch support of aircraft launches on their functional performance as a formation. The degree of influence of information and ballistic support factors on the realizability of missions by aircraft formations is represented by numerical indicators. An integral indicator for assessing the impact of information and ballistic support factors on the performance indicators of aircraft formations has been formed as a weighted convolution of increments of partial indicators.

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