Uploaded August 2020 | Updated September 2026, 2 weeks ago
Topics in NeuroRehabilitation - Episode 13. Franchino Porciuncula, EdD, PT, DScPT summarizes a clinical study which examines the effects of exo-suit augmented gait training with conventional gait training for individuals after stroke. In this study, pre/post changes in walking speed and 6-minute walk distance were observed to be significantly greater following exo-suit augmented gait training vs conventional gait training. Further examination revealed that these changes were correlated to significant improvements in a propulsion-based walking strategy: specifically the individual was observed to walk with improved propulsion symmetry, ankle power, trailing limb angle, and stride length following the exo-suit augmented bout of gait training.
To learn more about ReWalk Robotics or the Topics in NeuroRehabilitation web series, please reach out to us at rewalk.com/contact
In case you missed last week's episode, click here to watch Topics in NeuroRehab Ep 12: youtube.com/watch?v=81TxVrUp4SM
To learn more about Franchino's research or the ReStore Soft Exo-Suit, please visit the links below:
Harvard Biodesign Lab: https://biodesign.seas.harvard.edu/
Wyss Institute for Biologically Inspired Engineering: https://wyss.harvard.edu/
ReStore Soft Exo-Suit: rewalk.com/restore-exo-suit
References:
Porciuncula, Franchino & Arumukhom Revi, Dheepak. (2019). Soft robotic exosuits for targeted gait rehabilitation after stroke: A case study. researchgate.net/publication/343404093_Soft_robotic_exosuits_for_targeted_gait_rehabilitation_after_stroke_A_case_study
Siviy, Christopher, Jaehyun Bae, Lauren Baker, Franchino Porciuncula, Teresa Baker, Terry D. Ellis, Louis N. Awad, and Conor James Walsh. "Offline Assistance Optimization of a Soft Exosuit for Augmenting Ankle Power of Stroke Survivors During Walking." IEEE Robotics and Automation Letters 5, no. 2 (2020): 828-835. ieeexplore.ieee.org/abstract/document/8954648
Porciuncula, Franchino, Anna Virginia Roto, Deepak Kumar, Irene Davis, Serge Roy, Conor J. Walsh, and Louis N. Awad. "Wearable movement sensors for rehabilitation: a focused review of technological and clinical advances." PM&R 10, no. 9 (2018): S220-S232. sciencedirect.com/science/article/abs/pii/S1934148218303630
Topics in NeuroRehabilitation - Episode 13. Franchino Porciuncula, EdD, PT, DScPT summarizes a clinical study which examines the effects of exo-suit augmented gait training with conventional gait training for individuals after stroke. In this study, pre/post changes in walking speed and 6-minute walk distance were observed to be significantly greater following exo-suit augmented gait training vs conventional gait training. Further examination revealed that these changes were correlated to significant improvements in a propulsion-based walking strategy: specifically the individual was observed to walk with improved propulsion symmetry, ankle power, trailing limb angle, and stride length following the exo-suit augmented bout of gait training.
To learn more about ReWalk Robotics or the Topics in NeuroRehabilitation web series, please reach out to us at rewalk.com/contact
In case you missed last week's episode, click here to watch Topics in NeuroRehab Ep 12: youtube.com/watch?v=81TxVrUp4SM
To learn more about Franchino's research or the ReStore Soft Exo-Suit, please visit the links below:
Harvard Biodesign Lab: https://biodesign.seas.harvard.edu/
Wyss Institute for Biologically Inspired Engineering: https://wyss.harvard.edu/
ReStore Soft Exo-Suit: rewalk.com/restore-exo-suit
References:
Porciuncula, Franchino & Arumukhom Revi, Dheepak. (2019). Soft robotic exosuits for targeted gait rehabilitation after stroke: A case study. researchgate.net/publication/343404093_Soft_robotic_exosuits_for_targeted_gait_rehabilitation_after_stroke_A_case_study
Siviy, Christopher, Jaehyun Bae, Lauren Baker, Franchino Porciuncula, Teresa Baker, Terry D. Ellis, Louis N. Awad, and Conor James Walsh. "Offline Assistance Optimization of a Soft Exosuit for Augmenting Ankle Power of Stroke Survivors During Walking." IEEE Robotics and Automation Letters 5, no. 2 (2020): 828-835. ieeexplore.ieee.org/abstract/document/8954648
Porciuncula, Franchino, Anna Virginia Roto, Deepak Kumar, Irene Davis, Serge Roy, Conor J. Walsh, and Louis N. Awad. "Wearable movement sensors for rehabilitation: a focused review of technological and clinical advances." PM&R 10, no. 9 (2018): S220-S232. sciencedirect.com/science/article/abs/pii/S1934148218303630
