Walking With a Robotic Exoskeleton Does Not Mimic Natural Gait: A Within-Subjects Study

Journals

1. De Luca A, Bellitto A, Mandraccia S, Marchesi G, Pellegrino L, Coscia M, Leoncini C, Rossi L, Gamba S, Massone A, Casadio M. Exoskeleton for Gait Rehabilitation: Effects of Assistance, Mechanical Structure, and Walking Aids on Muscle Activations. Applied Sciences 2019;9(14):2868 View
2. Swank C, Almutairi S, Wang-Price S, Gao F. Immediate kinematic and muscle activity changes after a single robotic exoskeleton walking session post-stroke. Topics in Stroke Rehabilitation 2020;27(7):503 View
3. Infarinato F, Romano P, Goffredo M, Ottaviani M, Galafate D, Gison A, Petruccelli S, Pournajaf S, Franceschini M. Functional Gait Recovery after a Combination of Conventional Therapy and Overground Robot-Assisted Gait Training Is Not Associated with Significant Changes in Muscle Activation Pattern: An EMG Preliminary Study on Subjects Subacute Post Stroke. Brain Sciences 2021;11(4):448 View
4. Otálora S, Ballen-Moreno F, Arciniegas-Mayag L, Cifuentes C, Múnera M. Biomechanical Effects of Adding an Ankle Soft Actuation in a Unilateral Exoskeleton. Biosensors 2022;12(10):873 View
5. Kim J, Kim Y, Kim S. Biomechanical Task-Based Gait Analysis Suggests ReWalk Gait Resembles Crutch Gait. Applied Sciences 2022;12(24):12574 View
6. McDonald C, Fingleton C, Murphy S, Lennon O. Stroke survivor perceptions of using an exoskeleton during acute gait rehabilitation. Scientific Reports 2022;12(1) View
7. Kim J, Kim Y, Kang S, Kim S. Biomechanical Analysis Suggests Myosuit Reduces Knee Extensor Demand during Level and Incline Gait. Sensors 2022;22(16):6127 View
8. Goffredo M, Romano P, Infarinato F, Cioeta M, Franceschini M, Galafate D, Iacopini R, Pournajaf S, Ottaviani M. Kinematic Analysis of Exoskeleton-Assisted Community Ambulation: An Observational Study in Outdoor Real-Life Scenarios. Sensors 2022;22(12):4533 View
9. Almutairi S, Swank C, Wang-Price S, Gao F, Medley A. Walking with and without a robotic exoskeleton in people with incomplete spinal cord injury compared to a typical gait pattern. NeuroRehabilitation 2021;49(4):585 View
10. Kim J, Kim Y, Moon J, Kong J, Kim S. Biomechanical Analysis of the Unaffected Limb While Using a Hands-Free Crutch. Journal of Functional Morphology and Kinesiology 2023;8(2):56 View
11. Gillespie J, Arnold D, Trammell M, Bennett M, Ochoa C, Driver S, Callender L, Sikka S, Dubiel R, Swank C. Utilization of overground exoskeleton gait training during inpatient rehabilitation: a descriptive analysis. Journal of NeuroEngineering and Rehabilitation 2023;20(1) View
12. Kim J, Kim Y, Kang S, Kim S. Investigation with able-bodied subjects suggests Myosuit may potentially serve as a stair ascent training robot. Scientific Reports 2023;13(1) View
13. Paiva T, Gonçalves R, Carbone G. A Critical Review and Systematic Design Approach for Linkage-Based Gait Rehabilitation Devices. Robotics 2024;13(1):11 View
14. Kim J, Kim Y, Kang S, Park S, Moon J, Kim N, Kim S. A Proof of Principle Study Conducted by Community-Dwelling Seniors Using a Novel Passive Gait Assist System. Applied Sciences 2024;14(4):1363 View
15. Guerra B, Schmid M, Sozzi S, Pizzocaro S, De Nunzio A, Ramat S. A Recurrent Deep Network for Gait Phase Identification from EMG Signals During Exoskeleton-Assisted Walking. Sensors 2024;24(20):6666 View
16. Villani M, Avaltroni P, Scordo G, Rubeca D, Kreynin P, Bereziy E, Berger D, Cappellini G, Sylos-Labini F, Lacquaniti F, Ivanenko Y. Evaluation of EMG patterns in children during assisted walking in the exoskeleton. Frontiers in Neuroscience 2024;18 View
17. Supapitanon K, Patathong T, Akkawutvanich C, Srisuchinnawong A, Ketrungsri W, Manoonpong P, Woratanarat P, Angsanuntsukh C, Narayan J. Comprehensive multi-metric analysis of user experience and performance in adaptive and non-adaptive lower-limb exoskeletons. PLOS ONE 2025;20(1):e0313593 View
18. Soldi R, Guerra B, Sozzi S, Russo L, Pizzocaro S, Baptista R, De Nunzio A, Schmid M, Ramat S. Deep Learning Models Optimization for Gait Phase Identification from EMG Data During Exoskeleton-Assisted Walking. Biomimetics 2025;10(9):617 View
19. Pollard R, Brokamp J, Nail-Ulloa I, Zabala M. A Hybrid Kinematic and Machine Learning Approach to Future Joint Angle Estimation at the Ankle. IEEE Transactions on Medical Robotics and Bionics 2025;7(4):1612 View

Books/Policy Documents

1. Giannoni P. Cerebral Palsy. View

Conference Proceedings

1. Vittoria Guerra B, Schmid M, Sozzi S, Pizzocaro S, De Nunzio A, Ramat S. 2024 IEEE International Symposium on Medical Measurements and Applications (MeMeA). Adopting BiLSTM for Gait Phase Recognition in Exoskeleton Control via sEMG Signals View
2. Giannattasio R, Maludrottu S, Zinni G, Momi E, Laffranchi M, Michieli L. 2024 IEEE International Conference on Robotics and Automation (ICRA). An adaptable ankle trajectory generation method for lower-limb exoskeletons by means of safety constraints computation and minimum jerk planning View
3. Vittoria Guerra B, Sozzi S, Pizzocaro S, De Nunzio A, Schmid M. 2024 IEEE 8th Forum on Research and Technologies for Society and Industry Innovation (RTSI). AI Processing of Wearable IMU Data for Exoskeleton Gait Analysis View
4. Camerini V, Ceroni I, Di Bello P, Maludrottu S, Laffranchi M, Semprini M. 2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Evaluation of gait training based on the combination of TWIN exoskeleton and Functional Electrical Stimulation of tibialis anterior View
5. Shayesteh S, Ojha A, Gautam Y, Jebelli H, Akanmu A. Computing in Civil Engineering 2024. Evaluating the Impact of Back-Support Exoskeletons on Construction Workers’ Fall Risk View