Introduction to a Twin Dual-Axis Robotic Platform for Studies of Lower Limb Biomechanics
This paper presents a twin dual-axis robotic platform system which is designed for the characterization of postural balance under various environmental conditions and quantification of bilateral ankle mechanics in 2 degrees-of-freedom (DOF) during standing and walking. Methods: Validation experiment...
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
|
| Series: | IEEE Journal of Translational Engineering in Health and Medicine |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10110968/ |
| _version_ | 1797805994487578624 |
|---|---|
| author | Joshua B. Russell Connor M. Phillips Matthew R. Auer Vu Phan Kwanghee Jo Omik Save Varun Nalam Hyunglae Lee |
| author_facet | Joshua B. Russell Connor M. Phillips Matthew R. Auer Vu Phan Kwanghee Jo Omik Save Varun Nalam Hyunglae Lee |
| author_sort | Joshua B. Russell |
| collection | DOAJ |
| description | This paper presents a twin dual-axis robotic platform system which is designed for the characterization of postural balance under various environmental conditions and quantification of bilateral ankle mechanics in 2 degrees-of-freedom (DOF) during standing and walking. Methods: Validation experiments were conducted to evaluate performance of the system: 1) to apply accurate position perturbations under different loading conditions; 2) to simulate a range of stiffness-defined mechanical environments; and 3) to reliably quantify the joint impedance of mechanical systems. In addition, several human experiments were performed to demonstrate the system’s applicability for various lower limb biomechanics studies. The first two experiments quantified postural balance on a compliance-controlled surface (passive perturbations) and under oscillatory perturbations with various frequencies and amplitudes (active perturbations). The second two experiments quantified bilateral ankle mechanics, specifically, ankle impedance in 2-DOF during standing and walking. The validation experiments showed high accuracy of the platform system to apply position perturbations, simulate a range of mechanical environments, and quantify the joint impedance. Results of the human experiments further demonstrated that the platform system is sensitive enough to detect differences in postural balance control under challenging environmental conditions as well as bilateral differences in 2-DOF ankle mechanics. This robotic platform system will allow us to better understand lower limb biomechanics during functional tasks, while also providing invaluable knowledge for the design and control of many robotic systems including robotic exoskeletons, prostheses and robot-assisted balance training programs. Clinical and Translational Impact Statement— Our robotic platform system serves as a tool to better understand the biomechanics of both healthy and neurologically impaired individuals and to develop assistive robotics and rehabilitation training programs using this information. |
| first_indexed | 2024-03-13T06:00:27Z |
| format | Article |
| id | doaj.art-bc6ab69a3e6749119aeaf7f1cb83364c |
| institution | Directory Open Access Journal |
| issn | 2168-2372 |
| language | English |
| last_indexed | 2024-03-13T06:00:27Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Journal of Translational Engineering in Health and Medicine |
| spelling | doaj.art-bc6ab69a3e6749119aeaf7f1cb83364c2023-06-12T23:00:45ZengIEEEIEEE Journal of Translational Engineering in Health and Medicine2168-23722023-01-011128229010.1109/JTEHM.2023.327144610110968Introduction to a Twin Dual-Axis Robotic Platform for Studies of Lower Limb BiomechanicsJoshua B. Russell0Connor M. Phillips1https://orcid.org/0000-0002-1656-7752Matthew R. Auer2Vu Phan3https://orcid.org/0000-0002-6001-2826Kwanghee Jo4Omik Save5https://orcid.org/0000-0002-9989-0300Varun Nalam6https://orcid.org/0000-0003-0837-1175Hyunglae Lee7https://orcid.org/0000-0003-3853-510XSchool for Engineering of Matter, Transport and Energy, Arizona State University, Tempe, AZ, USASchool for Engineering of Matter, Transport and Energy, Arizona State University, Tempe, AZ, USASchool for Engineering of Matter, Transport and Energy, Arizona State University, Tempe, AZ, USASchool for Engineering of Matter, Transport and Energy, Arizona State University, Tempe, AZ, USASchool for Engineering of Matter, Transport and Energy, Arizona State University, Tempe, AZ, USASchool for Engineering of Matter, Transport and Energy, Arizona State University, Tempe, AZ, USASchool for Engineering of Matter, Transport and Energy, Arizona State University, Tempe, AZ, USASchool for Engineering of Matter, Transport and Energy, Arizona State University, Tempe, AZ, USAThis paper presents a twin dual-axis robotic platform system which is designed for the characterization of postural balance under various environmental conditions and quantification of bilateral ankle mechanics in 2 degrees-of-freedom (DOF) during standing and walking. Methods: Validation experiments were conducted to evaluate performance of the system: 1) to apply accurate position perturbations under different loading conditions; 2) to simulate a range of stiffness-defined mechanical environments; and 3) to reliably quantify the joint impedance of mechanical systems. In addition, several human experiments were performed to demonstrate the system’s applicability for various lower limb biomechanics studies. The first two experiments quantified postural balance on a compliance-controlled surface (passive perturbations) and under oscillatory perturbations with various frequencies and amplitudes (active perturbations). The second two experiments quantified bilateral ankle mechanics, specifically, ankle impedance in 2-DOF during standing and walking. The validation experiments showed high accuracy of the platform system to apply position perturbations, simulate a range of mechanical environments, and quantify the joint impedance. Results of the human experiments further demonstrated that the platform system is sensitive enough to detect differences in postural balance control under challenging environmental conditions as well as bilateral differences in 2-DOF ankle mechanics. This robotic platform system will allow us to better understand lower limb biomechanics during functional tasks, while also providing invaluable knowledge for the design and control of many robotic systems including robotic exoskeletons, prostheses and robot-assisted balance training programs. Clinical and Translational Impact Statement— Our robotic platform system serves as a tool to better understand the biomechanics of both healthy and neurologically impaired individuals and to develop assistive robotics and rehabilitation training programs using this information.https://ieeexplore.ieee.org/document/10110968/Assistive roboticsmedical robots and systemsrehabilitation robotics |
| spellingShingle | Joshua B. Russell Connor M. Phillips Matthew R. Auer Vu Phan Kwanghee Jo Omik Save Varun Nalam Hyunglae Lee Introduction to a Twin Dual-Axis Robotic Platform for Studies of Lower Limb Biomechanics IEEE Journal of Translational Engineering in Health and Medicine Assistive robotics medical robots and systems rehabilitation robotics |
| title | Introduction to a Twin Dual-Axis Robotic Platform for Studies of Lower Limb Biomechanics |
| title_full | Introduction to a Twin Dual-Axis Robotic Platform for Studies of Lower Limb Biomechanics |
| title_fullStr | Introduction to a Twin Dual-Axis Robotic Platform for Studies of Lower Limb Biomechanics |
| title_full_unstemmed | Introduction to a Twin Dual-Axis Robotic Platform for Studies of Lower Limb Biomechanics |
| title_short | Introduction to a Twin Dual-Axis Robotic Platform for Studies of Lower Limb Biomechanics |
| title_sort | introduction to a twin dual axis robotic platform for studies of lower limb biomechanics |
| topic | Assistive robotics medical robots and systems rehabilitation robotics |
| url | https://ieeexplore.ieee.org/document/10110968/ |
| work_keys_str_mv | AT joshuabrussell introductiontoatwindualaxisroboticplatformforstudiesoflowerlimbbiomechanics AT connormphillips introductiontoatwindualaxisroboticplatformforstudiesoflowerlimbbiomechanics AT matthewrauer introductiontoatwindualaxisroboticplatformforstudiesoflowerlimbbiomechanics AT vuphan introductiontoatwindualaxisroboticplatformforstudiesoflowerlimbbiomechanics AT kwangheejo introductiontoatwindualaxisroboticplatformforstudiesoflowerlimbbiomechanics AT omiksave introductiontoatwindualaxisroboticplatformforstudiesoflowerlimbbiomechanics AT varunnalam introductiontoatwindualaxisroboticplatformforstudiesoflowerlimbbiomechanics AT hyunglaelee introductiontoatwindualaxisroboticplatformforstudiesoflowerlimbbiomechanics |