M
Mohamad Parnianpour
Researcher at Sharif University of Technology
Publications - 283
Citations - 8606
Mohamad Parnianpour is an academic researcher from Sharif University of Technology. The author has contributed to research in topics: Trunk & Isometric exercise. The author has an hindex of 50, co-authored 274 publications receiving 7835 citations. Previous affiliations of Mohamad Parnianpour include New York University & Hong Kong Polytechnic University.
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Journal ArticleDOI
Time-course investigation of postural sway variability: Does anxiety exacerbate the sensory reweighting impairment in chronic stroke survivors?
Shamsi Jamali,Akram Azad,Hajar Mehdizadeh,Asgar Doostdar,Fatemeh Hoseinpour,Maryam Mehdizadeh,Javad Niazi-Khatoon,Mohammad Reza Shokouhyan,Mohamad Parnianpour,Ghorban Taghizadeh,Kinda Khalaf +10 more
TL;DR: The results indicated that chronic stroke survivors, particularly those with HA, could not efficiently use sensory reweighting to maintain balance in sensory conflicting conditions, which may subject them to loosing balance and/or falling.
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Application of actor-critic reinforcement learning method for conrol of a sagittal arm during oscillatory movement
TL;DR: A reinforcement learning method with an Actor-Critic architecture instead of middle and low level of central nervous system (CNS), the Actor in this structure is a two layer feedforward neural network and the Critic is a model of the cerebellum.
Journal Article
A technique for quantifying the response of seated individuals to dynamic perturbations.
Derek Gary Kamper,Thomas C. Adams,Steven I. Reger,Mohamad Parnianpour,Kamran Barin,Maureen Linden +5 more
TL;DR: The measurement system was evaluated for both rigid objects and human subjects situated in a wheelchair undergoing displacement, and the average correlation coefficient between the estimated CM(NP) signal and that computed from video data was 0.90; however, transient overestimation of displacement was seen during subject acceleration.
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A model for flexi-bar to evaluate intervertebral disc and muscle forces in exercises.
Masoud Abdollahi,Mohammad Nikkhoo,Sajad Ashouri,Mohsen Asghari,Mohamad Parnianpour,Kinda Khalaf +5 more
TL;DR: The model is valid and can be used for simulating exercises with the FLEXI-BAR for excitations in the range of the natural frequency and in combination with AnyBody musculoskeletal modeling software, where various lumbar disc, spinal muscles and hand muscles forces were determined during different FLExI- BAR exercise simulations.
Journal Article
Reliability of determination of bony landmarks of the distal femur on mr images and mri-based 3d models
Fateme Esfandiarpour,Gholamreza Olyaei,A. Shakouri Rad,Farzam Farahmand,Saeed Talebian,Mohsen Makhsous,Mohamad Parnianpour +6 more
TL;DR: The intra- and inter-observer reliability of the bony landmark determination on both image and image-based 3D models were excellent and showed no significant difference for within and between-subject comparisons.