keyword
MENU ▼
Read by QxMD icon Read
search

Force-vector training

keyword
https://read.qxmd.com/read/30736008/a-greedy-assist-as-needed-controller-for-upper-limb-rehabilitation
#1
Lincong Luo, Liang Peng, Chen Wang, Zeng-Guang Hou
Previous studies on robotic rehabilitation have shown that subjects' active participation and effort involved in rehabilitation training can promote the performance of therapies. In order to improve the voluntary effort of participants during the rehabilitation training, assist-as-needed (AAN) control strategies regulating the robotic assistance according to subjects' performance and conditions have been developed. Unfortunately, the heterogeneity of patients' motor function capability in task space is not taken into account during the implementation of these controllers...
February 5, 2019: IEEE Transactions on Neural Networks and Learning Systems
https://read.qxmd.com/read/30678251/the-magical-horizontal-force-muscle-a-preliminary-study-examining-the-force-vector-theory
#2
David A Fitzpatrick, Giuseppe Cimadoro, Daniel J Cleather
The force-vector theory contends that horizontal exercises are more specific to horizontal sports skills. In this context, the focus is on horizontal force production relative to the global coordinate frame. However, according to the principle of dynamic correspondence, the direction of force relative to the athlete is more important, and thus the basis for the force-vector theory is flawed. The purpose of this study was therefore to test the force-vector theory. According to the force-vector theory, hip thrust is a horizontally loaded exercise, and so hip thrust training would be expected to create greater improvements in horizontal jump performance than vertical jump performance...
January 22, 2019: Sports
https://read.qxmd.com/read/30577030/classification-and-regression-of-spatio-temporal-signals-using-neucube-and-its-realization-on-spinnaker-neuromorphic-hardware
#3
Jan Behrenbeck, Zied Tayeb, Cyrine Bhiri, Christoph Richter, Oliver Rhodes, Nikola Kasabov, Josafath I Espinosa-Ramos, Steve Furber, Gordon Cheng, Jorg Conradt
The objective of this work is to use the capability of spiking neural networks to capture the spatio-temporal information encoded in time-series signals and decode them without the use of hand-crafted features and vector-based learning and the realization of the spiking model on low-power neuromorphic hardware. APPROACH: The NeuCube spiking model was used to classify different grasp movements directly from raw electromyography signals (sEMG), the estimations of the applied finger forces as well as the classification of two motor imagery movements from raw electroencephalography (EEG)...
December 21, 2018: Journal of Neural Engineering
https://read.qxmd.com/read/30530767/global-dynamics-of-bipedal-macaques-during-grounded-and-aerial-running
#4
Reinhard Blickhan, Emanuel Andrada, Eishi Hirasaki, Naomichi Ogihara
Macaques trained to perform bipedally use grounded running, skipping and aerial running, but avoid walking. The preference for grounded running across a wide range of speeds is substantially different from the locomotion habits observed in humans, which may be the result of differences in leg compliance. In the present study, based on kinematic and dynamic observations of three individuals crossing an experimental track, we investigated global leg properties such as leg stiffness and viscous damping during grounded and aerial running...
December 10, 2018: Journal of Experimental Biology
https://read.qxmd.com/read/30442607/nnwarp-neural-network-based-nonlinear-deformation
#5
Ran Luo, Tianjia Shao, Huamin Wang, Weiwei Xu, Xiang Chen, Kun Zhou, Yin Yang
NNWarp is a highly re-usable and efficient neural network (NN) based nonlinear deformable simulation framework. Unlike other machine learning applications such as image recognition, where different inputs have a uniform and consistent format (e.g. an array of all the pixels in an image), the input for deformable simulation is quite variable, high-dimensional, and parametrization-unfriendly. Consequently, even though the neural network is known for its rich expressivity of nonlinear functions, directly using an NN to reconstruct the force-displacement relation for general deformable simulation is nearly impossible...
November 15, 2018: IEEE Transactions on Visualization and Computer Graphics
https://read.qxmd.com/read/30230037/how-sprinters-accelerate-beyond-the-velocity-plateau-of-soccer-players-waveform-analysis-of-ground-reaction-forces
#6
Steffi L Colyer, Ryu Nagahara, Yohei Takai, Aki I T Salo
Forces applied to the ground during sprinting are vital to performance. This study aimed to understand how specific aspects of ground reaction force waveforms allow some individuals to continue to accelerate beyond the velocity plateau of others. Twenty-eight male sprint specialists and 24 male soccer players performed maximal-effort 60-m sprints. A 54-force-plate system captured ground reaction forces, which were used to calculate horizontal velocity profiles. Touchdown velocities of steps were matched (8...
December 2018: Scandinavian Journal of Medicine & Science in Sports
https://read.qxmd.com/read/30058461/influence-of-force-vector-and-force-application-plyometric-training-in-young-elite-basketball-players
#7
Oliver Gonzalo-Skok, Jorge Sánchez-Sabaté, Luis Izquierdo-Lupón, Eduardo Sáez de Villarreal
Plyometric training composed by unilateral exercises with horizontal jumping direction seems to be an effective way to improve physical performance in athletes. The present study aimed to compare the influence of a combined jumping direction and force application (horizontal-unilateral vs. vertical-bilateral) plyometric training on linear sprinting, jumping, change of direction (COD) and dynamic balance in young elite basketball players. Twenty young (U-13 to U-14) male basketball players (age: 13.2 ± 0...
July 28, 2018: European Journal of Sport Science
https://read.qxmd.com/read/30048538/vertically-and-horizontally-directed-muscle-power-exercises-relationships-with-top-level-sprint-performance
#8
Irineu Loturco, Bret Contreras, Ronaldo Kobal, Victor Fernandes, Neilton Moura, Felipe Siqueira, Ciro Winckler, Timothy Suchomel, Lucas Adriano Pereira
The capacity to rapidly generate and apply a great amount of force seems to play a key role in sprint running. However, it has recently been shown that, for sprinters, the technical ability to effectively orient the force onto the ground is more important than its total amount. The force-vector theory has been proposed to guide coaches in selecting the most adequate exercises to comprehensively develop the neuromechanical qualities related to the distinct phases of sprinting. This study aimed to compare the relationships between vertically-directed (loaded and unloaded vertical jumps, and half-squat) and horizontally-directed (hip-thrust) exercises and the sprint performance of top-level track and field athletes...
2018: PloS One
https://read.qxmd.com/read/29995792/electromyographic-analysis-of-hip-and-knee-muscles-during-specific-exercise-movements-in-females-with-patellofemoral-pain-syndrome-an-observational-study
#9
Shuya Chen, Wen-Dien Chang, Jhih-Yun Wu, Yi-Chin Fong
Hip muscle strengthening and knee extensor strengthening are common training exercises for patellofemoral pain syndrome (PFPS). PFPS engendered by insufficient hip abductor and external rotator muscle strength has been of interest, but these exercise movements may increase the lateral vector force of the patella warrants clarification. So, the purpose of this study was to assess muscular activations of vastus lateralis (VL), vastus medialis oblique (VMO), and gluteus medius muscles in electromyographic analysis during hip abduction and external rotator movements and open and closed kinetic chain knee extension movements...
July 2018: Medicine (Baltimore)
https://read.qxmd.com/read/29960185/main-force-directions-of-trunk-muscles-a-pilot-study-in-healthy-male-subjects
#10
Christoph Anders, Beatrice Steiniger
Muscles work most effectively along their anatomically defined action vector(s) which has implications in training and therapeutics. Action vectors can easily be identified in extremity muscles and smaller muscles of the trunk, but are less clear in larger trunk muscles. Trunk muscle exercises and diagnostics have traditionally relied on tasks in the sagittal plane - a practice that is being reconsidered. Therefore, this study aimed at identifying main force directions (MFDs) of major trunk muscles expressed in terms of deviation from the sagittal plane...
August 2018: Human Movement Science
https://read.qxmd.com/read/29849551/moisture-damage-modeling-in-lime-and-chemically-modified-asphalt-at-nanolevel-using-ensemble-computational-intelligence
#11
M R Hassan, A Al Mamun, M I Hossain, M Arifuzzaman
This paper measures the adhesion/cohesion force among asphalt molecules at nanoscale level using an Atomic Force Microscopy (AFM) and models the moisture damage by applying state-of-the-art Computational Intelligence (CI) techniques (e.g., artificial neural network (ANN), support vector regression (SVR), and an Adaptive Neuro Fuzzy Inference System (ANFIS)). Various combinations of lime and chemicals as well as dry and wet environments are used to produce different asphalt samples. The parameters that were varied to generate different asphalt samples and measure the corresponding adhesion/cohesion forces are percentage of antistripping agents (e...
2018: Computational Intelligence and Neuroscience
https://read.qxmd.com/read/29771528/host-cell-prediction-of-exosomes-using-morphological-features-on-solid-surfaces-analyzed-by-machine-learning
#12
Kazuki Ito, Yuta Ogawa, Keiji Yokota, Sachiko Matsumura, Tamiko Minamisawa, Kanako Suga, Kiyotaka Shiba, Yasuo Kimura, Ayumi Hirano-Iwata, Yuzuru Takamura, Toshio Ogino
Exosomes are extracellular nanovesicles released from any cells and found in any body fluid. Because exosomes exhibit information of their host cells (secreting cells), their analysis is expected to be a powerful tool for early diagnosis of cancers. To predict the host cells, we extracted multidimensional feature data about size, shape, and deformation of exosomes immobilized on solid surfaces by atomic force microscopy (AFM). The key idea is combination of support vector machine (SVM) learning for individual exosome particles and their interpretation by principal component analysis (PCA)...
June 14, 2018: Journal of Physical Chemistry. B
https://read.qxmd.com/read/29504071/a-3-dof-hemi-constrained-wrist-motion-force-detection-device-for-deploying-simultaneous-myoelectric-control
#13
Wei Yang, Dapeng Yang, Yu Liu, Hong Liu
For describing the state of the wrist, either the force or movement of wrist can be measured as the training target in the simultaneous electromyography control. However, the relationship between the force and movement is so complex that only the force or movement is not precise enough to describe its actual situations. In this paper, we propose a novel platform that can acquire three degrees of freedom (DOF) wrist motion/force synchronously with multi-channel electromyography signals in a hemi-constraint way...
September 2018: Medical & Biological Engineering & Computing
https://read.qxmd.com/read/29486778/a-simulation-study-on-the-effects-of-neuronal-ensemble-properties-on-decoding-algorithms-for-intracortical-brain-machine-interfaces
#14
Min-Ki Kim, Jeong-Woo Sohn, Bongsoo Lee, Sung-Phil Kim
BACKGROUND: Intracortical brain-machine interfaces (BMIs) harness movement information by sensing neuronal activities using chronic microelectrode implants to restore lost functions to patients with paralysis. However, neuronal signals often vary over time, even within a day, forcing one to rebuild a BMI every time they operate it. The term "rebuild" means overall procedures for operating a BMI, such as decoder selection, decoder training, and decoder testing. It gives rise to a practical issue of what decoder should be built for a given neuronal ensemble...
February 27, 2018: Biomedical Engineering Online
https://read.qxmd.com/read/29463307/how-elimination-of-lymphatic-filariasis-as-a-public-health-problem-in-the-kingdom-of-cambodia-was-achieved
#15
Virak Khieu, Vandine Or, Chhakda Tep, Peter Odermatt, Reiko Tsuyuoka, Meng Chuor Char, Molly A Brady, Joshua Sidwell, Aya Yajima, Rekol Huy, Kapa D Ramaiah, Sinuon Muth
BACKGROUND: Endemicity of lymphatic filariasis (LF) in Cambodia was proven in 1956 when microfilariae were detected in mosquitos in the Kratié province. In 2001, an extensive study confirmed the presence of both Brugia malayi and Wuchereria bancrofti microfilariae. In 2003, the Ministry of Health established a national task force to develop policies and strategies for controlling and eliminating neglected tropical diseases (NTDs), with the goal of eliminating LF by 2015. This article summarizes the work accomplished to eliminate LF as a public health problem in Cambodia...
February 20, 2018: Infectious Diseases of Poverty
https://read.qxmd.com/read/29284556/ultrasound-characterization-of-bone-demineralization-using-a-support-vector-machine
#16
Max Denis, Leighton Wan, Mostafa Fatemi, Azra Alizad
We propose an ultrasound-guided remote measurement technique, utilizing an acoustic radiation force beam as our excitation source and a receiving hydrophone, to assess non-invasively a bone's mechanical properties. Features, such as velocity, were extracted from the acoustic pressure received from the bone surface. The typical velocity of an intact bone (3540 m/s) was higher in comparison to that of a demineralized bone (2231 m/s). According to the receiver operating characteristic curve, the optimal velocity cutoff value of ≥3096 m/s yields 80% sensitivity and 82...
March 2018: Ultrasound in Medicine & Biology
https://read.qxmd.com/read/29223897/agricultural-drought-prediction-using-climate-indices-based-on-support-vector-regression-in-xiangjiang-river-basin
#17
Ye Tian, Yue-Ping Xu, Guoqing Wang
Drought can have a substantial impact on the ecosystem and agriculture of the affected region and does harm to local economy. This study aims to analyze the relation between soil moisture and drought and predict agricultural drought in Xiangjiang River basin. The agriculture droughts are presented with the Precipitation-Evapotranspiration Index (SPEI). The Support Vector Regression (SVR) model incorporating climate indices is developed to predict the agricultural droughts. Analysis of climate forcing including El Niño Southern Oscillation and western Pacific subtropical high (WPSH) are carried out to select climate indices...
May 1, 2018: Science of the Total Environment
https://read.qxmd.com/read/29079453/the-effect-of-paddles-on-pressure-and-force-generation-at-the-hand-during-front-crawl
#18
Takaaki Tsunokawa, Tempei Tsuno, Hirotoshi Mankyu, Hideki Takagi, Futoshi Ogita
Through pressure measurement, this study aimed to clarify the effects of hand paddle use on pressure and force generation around the hand during the front crawl. Eight male swimmers performed two trials of front crawl swimming with maximal effort, once using only their hands and once aided by hand paddles. During trials, pressure sensors and underwater motion capture cameras were used together to analyze hand kinematics and pressure forces acting on the hand. Six pressure sensors were attached to the right hand, and pressure forces acting on the right hand were estimated by multiplying the areas and the pressure differences between the palm side and dorsal side of the hand...
February 2018: Human Movement Science
https://read.qxmd.com/read/29035220/robot-training-with-vector-fields-based-on-stroke-survivors-individual-movement-statistics
#19
Zachary A Wright, Emily Lazzaro, Kelly O Thielbar, James L Patton, Felix C Huang
The wide variation in upper extremity motor impairments among stroke survivors necessitates more intelligent methods of customized therapy. However, current strategies for characterizing individual motor impairments are limited by the use of traditional clinical assessments (e.g., Fugl-Meyer) and simple engineering metrics (e.g., goal-directed performance). Our overall approach is to statistically identify the range of volitional movement capabilities, and then apply a robot-applied force vector field intervention that encourages under-expressed movements...
February 2018: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://read.qxmd.com/read/28816680/admm-based-algorithm-for-training-fault-tolerant-rbf-networks-and-selecting-centers
#20
Hao Wang, Ruibin Feng, Zi-Fa Han, Chi-Sing Leung
In the training stage of radial basis function (RBF) networks, we need to select some suitable RBF centers first. However, many existing center selection algorithms were designed for the fault-free situation. This brief develops a fault tolerant algorithm that trains an RBF network and selects the RBF centers simultaneously. We first select all the input vectors from the training set as the RBF centers. Afterward, we define the corresponding fault tolerant objective function. We then add an -norm term into the objective function...
August 2018: IEEE Transactions on Neural Networks and Learning Systems
keyword
keyword
163212
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"