Haptic interaction with a human partner for ankle training in chronic stroke: a pilot study

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Haptic interaction with a human partner for ankle training in chronic stroke: a pilot study

• Matthew R. Short,
• Laura Bandini,
• Daniel Ludvig,
• Lorenzo Vianello,
• Vittorio Sanguineti &
• Jose L. Pons 

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Abstract

Background

Sensorimotor impairments following stroke frequently result in diminished voluntary control of the ankle, contributing to deficits in balance and gait. Robotic training paradigms targeting ankle motor control often use an assist-as-needed strategy, where compliant guidance is provided to assist movements towards a target trajectory. However, interaction with “perfect” reference trajectories may overly constrain movements during training and has been shown to limit learning in many upper-limb contexts; alternatives to robotic assistance have rarely been explored for post-stroke ankle training. Inspired by human-robot-human interaction studies, we investigated whether physical interaction with a therapist—termed human interaction—offers advantages over traditional trajectory guidance regarding short-term learning.

Methods

In a within-subject design, nine individuals with chronic stroke (61.6 ± 14.3 years) performed a 1-DoF visuomotor tracking task while wearing ankle robots designed to train dorsiflexion and plantarflexion movements. Two robotic training methods were evaluated in separate visits: (1) compliant connection to a sinusoidal target trajectory (i.e., trajectory guidance) and (2) compliant connection to a physical therapist who tracked the same target trajectory (i.e., human interaction). In each visit, tracking performance (i.e., errors, movement smoothness) and muscle activation were evaluated during and immediately after training.

Results

Both training types improved tracking accuracy and movement smoothness during training, however random error was more significantly suppressed with trajectory guidance. Immediately after training, we found no significant difference in tracking accuracy or movement smoothness across training types. However, participants demonstrated significantly higher dorsiflexor activation after training with human interaction compared to trajectory guidance.

Conclusion

Our results suggest that human interaction is a viable strategy for training ankle movements in chronic stroke participants, likely by providing assistance without over-constraining an individual’s movement smoothness or variability. Training while physically interacting with a partner could serve as an effective alternative to conventional robot-guided therapy for post-stroke ankle rehabilitation, though further studies with larger cohorts are needed to assess the generalization of this approach regarding long-term retention and functional improvement.

Registry: clinicaltrials.gov, TRN: NCT04578665, Registration date: 8 October 2020.