Development of KIINCE: A kinetic feedback-based robotic environment for study of neuromuscular coordination and rehabilitation of human standing and walking
- PMID: 31191950
- PMCID: PMC6453043
- DOI: 10.1177/2055668318793585
Development of KIINCE: A kinetic feedback-based robotic environment for study of neuromuscular coordination and rehabilitation of human standing and walking
Abstract
Introduction: The objective of this article is to introduce the robotic platform KIINCE and its emphasis on the potential of kinetic objectives for studying and training human walking and standing. The device is motivated by the need to characterize and train lower limb muscle coordination to address balance deficits in impaired walking and standing.
Methods: The device measures the forces between the user and his or her environment, particularly the force of the ground on the feet (F) that reflects lower limb joint torque coordination. In an environment that allows for exploration of the user's capabilities, various forms of real-time feedback guide neural training to produce F appropriate for remaining upright. Control of the foot plate motion is configurable and may be user driven or prescribed. Design choices are motivated from theory of motor control and learning as well as empirical observations of F during walking and standing.
Results: Preliminary studies of impaired individuals demonstrate the feasibility and potential utility of patient interaction with kinetic immersive interface for neuromuscular coordination enhancement.
Conclusion: Applications include study and rehabilitation of standing and walking after injury, amputation, and neurological insult, with an initial focus on stroke discussed here.
Keywords: Biofeedback; design requirements; evaluation; gait rehabilitation; neurorehabilitation; rehabilitation devices; robot-assisted rehabilitation; stroke rehabilitation.
Conflict of interest statement
The author(s) declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: KG has a patent 8,257,284 B2 issued (foot force biofeedback system), and both authors have patent P150292US01 (1512.530) pending (harness system). The authors are also owners of a startup company that aims to develop rehabilitation tools.
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References
-
- Lord SE, McPherson K, McNaughton HK, et al. Community ambulation after stroke: how important and obtainable is it and what measures appear predictive? Arch Phys Med Rehabil 2004; 85: 234–239. - PubMed
-
- Kirshblum SC, Priebe MM, Ho CH, et al. Spinal cord injury medicine. 3. Rehabilitation phase after acute spinal cord injury. Arch Phys Med Rehabil 2007; 88: S62–S70. - PubMed
-
- Sackley CM, Lincoln NB. Physiotherapy for stroke patients: a survey of current practice. Physiother Theor Pract 1996; 12: 87–96.
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