Cited by 55Stroke Rehabilitation and RecoveryEEG and Brain-Computer InterfacesMotor Control and Adaptation

Interactive Multimodal Biofeedback for Task-Oriented Neural Rehabilitation

He Huang, Ingalls, T., Olson, L., Ganley, K., Rikakis, T., Jiping He·2005·2005 IEEE Engineering in Medicine and Biology 27th Annual Conference

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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Crossref · 10.1109/iembs.2005.1616988

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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).”
  • 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).”
  • 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).”
  • 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).”

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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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