Ehsan Rashedi
Title
Cited by
Cited by
Year
Ergonomic evaluation of a wearable assistive device for overhead work
E Rashedi, S Kim, MA Nussbaum, MJ Agnew
Ergonomics 57 (12), 1864-1874, 2014
792014
Assessing the influence of a passive, upper extremity exoskeletal vest for tasks requiring arm elevation: Part I–“Expected” effects on discomfort, shoulder muscle activity, and …
S Kim, MA Nussbaum, MIM Esfahani, MM Alemi, S Alabdulkarim, ...
Applied ergonomics 70, 315-322, 2018
702018
Assessing the influence of a passive, upper extremity exoskeletal vest for tasks requiring arm elevation: Part II–“Unexpected” effects on shoulder motion, balance, and spine …
S Kim, MA Nussbaum, MIM Esfahani, MM Alemi, B Jia, E Rashedi
Applied Ergonomics 70, 323-330, 2018
562018
Risk assessment of occupational injuries using Accident Severity Grade
N Azadeh-Fard, A Schuh, E Rashedi, JA Camelio
Safety science 76, 160-167, 2015
322015
Design and development of a hand robotic rehabilitation device for post stroke patients
E Rashedi, A Mirbagheri, B Taheri, F Farahmand, GR Vossoughi, ...
2009 Annual International Conference of the IEEE Engineering in Medicine and …, 2009
322009
A review of occupationally–relevant models of localised muscle fatigue
E Rashedi, MA Nussbaum
International journal of human factors modelling and simulation 5 (1), 61-80, 2015
292015
How does the central nervous system address the kinetic redundancy in the lumbar spine? Three-dimensional isometric exertions with 18 Hill-model-based muscle fascicles at the …
E Rashedi, K Khalaf, MR Nassajian, B Nasseroleslami, M Parnianpour
Proceedings of the Institution of Mechanical Engineers, Part H: Journal of …, 2010
29*2010
Cycle time influences the development of muscle fatigue at low to moderate levels of intermittent muscle contraction
E Rashedi, MA Nussbaum
Journal of Electromyography and Kinesiology 28, 37-45, 2016
242016
Trunk motion system (TMS) using printed body worn sensor (BWS) via data fusion approach
MI Mokhlespour Esfahani, O Zobeiri, B Moshiri, R Narimani, M Mehravar, ...
Sensors 17 (1), 112, 2017
212017
Impact of task design on task performance and injury risk: case study of a simulated drilling task
S Alabdulkarim, MA Nussbaum, E Rashedi, S Kim, M Agnew, R Gardner
Ergonomics 60 (6), 851-866, 2017
192017
The influence of mechanical vibration on local and central balance control
H Ehsani, J Mohler, V Marlinski, E Rashedi, N Toosizadeh
Journal of biomechanics 71, 59-66, 2018
162018
Mathematical models of localized muscle fatigue: sensitivity analysis and assessment of two occupationally-relevant models
E Rashedi, MA Nussbaum
PloS one 10 (12), e0143872, 2015
152015
Quantifying the history dependency of muscle recovery from a fatiguing intermittent task
E Rashedi, MA Nussbaum
Journal of biomechanics 51, 26-31, 2017
82017
The effect of parameters of equilibrium-based 3-D biomechanical models on extracted muscle synergies during isometric lumbar exertion
AH Eskandari, E Sedaghat-Nejad, E Rashedi, A Sedighi, N Arjmand, ...
Journal of Biomechanics 49 (6), 967-973, 2016
72016
Sharif-Human movement instrumentation system (SHARIF-HMIS): Development and validation
MIM Esfahani, A Akbari, O Zobeiri, E Rashedi, M Parnianpour
Medical engineering & physics 61, 87-94, 2018
62018
A Data-Driven Model to Identify Fatigue Level Based on the Motion Data from a Smartphone
S Karvekar, M Abdollahi, E Rashedi
2019 IEEE Western New York Image and Signal Processing Workshop (WNYISPW), 1-5, 2019
42019
Localized Muscle Fatigue: Theoretical and Practical Aspects in Occupational Environments
E Rashedi
Virginia Tech, 2016
22016
Investigating the effects of slipping on lumbar muscle activity, kinematics, and kinetics
E Rashedi, B Jia, MA Nussbaum, TE Lockhart
Proceedings of the Human Factors and Ergonomics Society Annual Meeting 56 (1 …, 2012
22012
A Practical Sensor-Based Methodology for the Quantitative Assessment and Classification of Chronic Non Specific Low Back Patients (NSLBP) in Clinical Settings
M Davoudi, SM Shokouhyan, M Abedi, N Meftahi, A Rahimi, E Rashedi, ...
Sensors 20 (10), 2902, 2020
12020
Using a Motion Sensor to Categorize Low Back Pain Patients: A Machine Learning Approach
M Abdollahi, S Ashouri, M Abedi, N Azadeh-Fard, M Parnianpour, ...
bioRxiv, 803155, 2019
12019
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