| 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 | 293 | 2018 |
| 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 | 247 | 2018 |
| Ergonomic evaluation of a wearable assistive device for overhead work E Rashedi, S Kim, MA Nussbaum, MJ Agnew Ergonomics 57 (12), 1864-1874, 2014 | 211 | 2014 |
| Risk assessment of occupational injuries using Accident Severity Grade N Azadeh-Fard, A Schuh, E Rashedi, JA Camelio Safety science 76, 160-167, 2015 | 89 | 2015 |
| Using a motion sensor to categorize nonspecific low back pain patients: a machine learning approach M Abdollahi, S Ashouri, M Abedi, N Azadeh-Fard, M Parnianpour, ... Sensors 20 (12), 3600, 2020 | 68 | 2020 |
| A forecasting framework for predicting perceived fatigue: Using time series methods to forecast ratings of perceived exertion with features from wearable sensors S Hajifar, H Sun, FM Megahed, LA Jones-Farmer, E Rashedi, LA Cavuoto Applied Ergonomics 90, 103262, 2021 | 55 | 2021 |
| 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 | 55 | 2015 |
| 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 | 51 | 2017 |
| A systematic review on evaluation strategies for field assessment of upper-body industrial exoskeletons: Current practices and future trends PM Kuber, M Abdollahi, MM Alemi, E Rashedi Annals of Biomedical Engineering 50 (10), 1203-1231, 2022 | 46 | 2022 |
| Product ergonomics in industrial exoskeletons: potential enhancements for workforce efficiency and safety PM Kuber, E Rashedi TheoreTical issues in ergonomics science 22 (6), 729-752, 2020 | 45 | 2020 |
| 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 | 45 | 2016 |
| Smartphone-based human fatigue level detection using machine learning approaches S Karvekar, M Abdollahi, E Rashedi Ergonomics 64 (5), 600-612, 2021 | 43 | 2021 |
| 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 | 39 | 2017 |
| 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 | 37* | 2010 |
| 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 | 36 | 2009 |
| 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 | 32 | 2018 |
| A systematic review of fall risk factors in stroke survivors: towards improved assessment platforms and protocols M Abdollahi, N Whitton, R Zand, M Dombovy, M Parnianpour, K Khalaf, ... Frontiers in bioengineering and biotechnology 10, 910698, 2022 | 30 | 2022 |
| 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 | 29 | 2015 |
| Kinematic analysis of 360 turning in stroke survivors using wearable motion sensors M Abdollahi, PM Kuber, M Shiraishi, R Soangra, E Rashedi Sensors 22 (1), 385, 2022 | 24 | 2022 |
| A data-driven model to identify fatigue level based on the motion data from a smartphone S Karvekar, M Abdollahi, E Rashedi BioRxiv, 796854, 2019 | 21 | 2019 |
Maury NussbaumVirginia TechEmail được xác minh tại vt.edu