Interactive Multimodal Biofeedback for Task-Oriented Neural Rehabilitation
Abstract
Previous studies have suggested that task-oriented biofeedback training may be effective for functional motor improvement. The purpose of this project was to design an interactive, multimodal biofeedback system for the task-oriented training of goal-directed reaching. The central controller, based on a user context model, identifies the state of task performance using multisensing data and provides augmented feedback, through interactive 3D graphics and music, to encourage the patients' self-regulation and performance of the task. The design allows stroke patients to train with functional tasks, and receive real-time performance evaluation through successful processing of multimodal sensory feedback. In addition, the environment and training task is customizable. Overall, the system delivers an engaging training experience. Preliminary results of a pilot study involving stroke patients demonstrate the potential of the system to improve patients' reaching performance.
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In rehabilitation, patients performed smoother hand movements when given augmented visual feedback (a semitransparent cone and line showing arm deviation from target) combined with auditory feedback.
“The patients performed smoother hand movements while being provided with the augmented visual (in combination with auditory) feedback (Huang et al., 2005).”
From Augmented visual, auditory, haptic, and multimodal feedback in motor learning: A review (2013) · cites this paper as Huang et al., 2005
A complex real-time sonification for arm movement mapped arm position to harmonics, smoothness to rhythm, and successful and compensatory movements to auditory alarms, with compensation severity mapped to loudness.
“Harmonics were used to represent arm position, rhythm represented the smoothness of the movement, and auditory alarms were used to indicate a successful movement, as well as a compensatory movement (the severity of the compensation was mapped to loudness) (Chen et al., 2006;Huang et al., 2005).”
From Augmented visual, auditory, haptic, and multimodal feedback in motor learning: A review (2013) · cites this paper as Huang et al., 2005
Augmented information should be displayed in the appropriate modality or multimodally, because imperfect estimates from one modality can be improved by more precise information in another modality.
“Therefore, it is suggested that augmented information should be displayed in the appropriate modality (Huang et al., 2005), according to the modality appropriateness hypothesis (Welch & Warren, 1980), or in a multimodal way, since imperfect estimations gained by one modality can be improved by more precise information in another modality (Hecht & Reiner, 2009;van Beers, Sittig, & Gon, 1999).”
From Augmented visual, auditory, haptic, and multimodal feedback in motor learning: A review (2013) · cites this paper as Huang et al., 2005
In a reaching task, representing kinematic variables each in a unimodal way, either visually or by sonification, produced an engaging multimodal feedback design that enhanced performance.
“Therewith, an engaging, multimodal feedback design was present that enhanced performance during the reaching task (Chen et al., 2006;Huang et al., 2005;Wallis et al., 2007).”
From Augmented visual, auditory, haptic, and multimodal feedback in motor learning: A review (2013) · cites this paper as Huang et al., 2005
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Sorted by citations
Augmented visual, auditory, haptic, and multimodal feedback in motor learning: A review
Sigrist, R., Rauter, G., Riener, R., & Wolf, P. (2013) · Psychonomic Bulletin & Review · doi:10.3758/s13423-012-0333-8 · Cited by 1,416 · see citing works
Evaluation of Visual and Auditory Feedback in Virtual Obstacle Walking
Wellner, M., Schaufelberger, A., Zitzewitz, J. V., & Riener, R. (2008) · Presence: Teleoperators and Virtual Environments · doi:10.1162/pres.17.5.512 · Cited by 23 · see citing works
- Authors
- Huang, H., Ingalls, T., Olson, L., Ganley, K., Rikakis, T., & He, J.
- Affiliations
- Arizona State University (US)
- Venue
- 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference
- Publisher
- IEEE
- Published
- 2005
- Volume
- 2005
- Pages
- 2547-2550
- ISSN
- 2375-7477 (ISSN-L)
- OpenAlex
- W2111473917
- Cited by
- 55
- References
- 0
- Citations by year
- 2020: 2 · 2019: 3 · 2018: 3 · 2017: 2 · 2016: 5 · 2015: 5 · 2014: 3 · 2013: 2 · 2012: 3
- FWCI
- 5.45
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Rehabilitation › Stroke Rehabilitation and Recovery
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
- Keywords
- task-oriented rehabilitation, stroke rehabilitation, goal-directed reaching, motor recovery, augmented feedback, interactive 3D graphics, self-regulation, real-time performance evaluation
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