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A real-time, multimodal biofeedback system for stroke patient rehabilitation

Published: 23 October 2006 Publication History

Abstract

This paper presents a novel real-time, multi-modal biofeedback system for stoke patient therapy. The problem is important as traditional mechanisms of rehabilitation are monotonous, and do not incorporate detailed quantitative assessment of recovery in addition to traditional clinical schemes. We have been working on developing an experiential media system that integrates task dependent physical therapy and cognitive stimuli within an interactive, multimodal environment. The environment provides a purposeful, engaging, visual and auditory scene in which patients can practice functional therapeutic reaching tasks, while receiving different types of simultaneous feedback indicating measures of both performance and results. There are two contributions of this paper - (a) identification of features and goals for the functional task, (b) the development of sophisticated feedback (auditory and visual) mechanisms that match the semantics of action of the task.

References

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Motion Analysis Corporation. http://www.motionanalysis.com
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M. C. CIRSTEA, A. B. MITNITSKI, A. G. FELDMAN, et al. (2003). Interjoint coordination dynamics during reaching in stroke. Exp Brain Res 151(3): 289--300.
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G. E. GRESHAM, P. W. DUNCAN and W. B. E. A. STASON (1996). Post-Stroke Rehabilitation/Clinical Practive Guideline. Gaithersburg, Maryland, Aspen Publishers, Inc.
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D. J. GROUT and C. V. PALISCA (2001). A history of western music. New York, Norton: xvi, 843, 816 of plates.
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E. R. HILGARD and G. H. BOWER (1975). Recent developments. Theories of learning. Englewood Cliffs, N.J., Prentice-Hall: 550--605.
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M. HOLDEN and T. DYAR, Eds. (2002). Virtual environment traing: a new tool for neurorehabilitation. Neurology Report.

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  • (2024)POWERED Wheelchair Driving Using Eye-Tracking through Video-Oculography: a Usability StudySN Computer Science10.1007/s42979-024-02806-45:4Online publication date: 13-Apr-2024
  • (2023)A Multi-Modal Feedback Communication Interface for Human Working Posture AdjustmentsHuman-Friendly Robotics 202210.1007/978-3-031-22731-8_2(14-29)Online publication date: 2-Jan-2023
  • (2022)Development of a biofeedback system using harmonic musical intervals to control heart rate variability with a generative adversarial networkBiomedical Signal Processing and Control10.1016/j.bspc.2021.10309571(103095)Online publication date: Jan-2022
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Published In

cover image ACM Conferences
MM '06: Proceedings of the 14th ACM international conference on Multimedia
October 2006
1072 pages
ISBN:1595934472
DOI:10.1145/1180639
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 October 2006

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Author Tags

  1. action-feedback coupling
  2. analysis
  3. biofeedback

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MM06
MM06: The 14th ACM International Conference on Multimedia 2006
October 23 - 27, 2006
CA, Santa Barbara, USA

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Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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Cited By

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  • (2024)POWERED Wheelchair Driving Using Eye-Tracking through Video-Oculography: a Usability StudySN Computer Science10.1007/s42979-024-02806-45:4Online publication date: 13-Apr-2024
  • (2023)A Multi-Modal Feedback Communication Interface for Human Working Posture AdjustmentsHuman-Friendly Robotics 202210.1007/978-3-031-22731-8_2(14-29)Online publication date: 2-Jan-2023
  • (2022)Development of a biofeedback system using harmonic musical intervals to control heart rate variability with a generative adversarial networkBiomedical Signal Processing and Control10.1016/j.bspc.2021.10309571(103095)Online publication date: Jan-2022
  • (2020)Patterns of enhancement in paretic shoulder kinematics after stroke with musical cueingScientific Reports10.1038/s41598-020-75143-010:1Online publication date: 22-Oct-2020
  • (2018)Movement Sonification in Stroke RehabilitationFrontiers in Neurology10.3389/fneur.2018.003899Online publication date: 1-Jun-2018
  • (2018)Enactive Steering of an Experiential Model of the AtmosphereVirtual, Augmented and Mixed Reality: Interaction, Navigation, Visualization, Embodiment, and Simulation10.1007/978-3-319-91581-4_10(126-144)Online publication date: 2-Jun-2018
  • (2014)Decision support for stroke rehabilitation therapy via describable attribute-based decision trees2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society10.1109/EMBC.2014.6944292(3154-3159)Online publication date: Aug-2014
  • (2010)Adaptive mixed reality stroke rehabilitationProceedings of the first annual ACM SIGMM conference on Multimedia systems10.1145/1730836.1730872(293-304)Online publication date: 22-Feb-2010
  • (2008)A dynamic decision network framework for online media adaptation in stroke rehabilitationACM Transactions on Multimedia Computing, Communications, and Applications (TOMM)10.1145/1404880.14048845:1(1-38)Online publication date: 30-Oct-2008
  • (2007)Interaction and reflection via 3D path shape qualities in a mediated constructive learning environmentProceedings of the international workshop on Educational multimedia and multimedia education10.1145/1290144.1290152(37-46)Online publication date: 28-Sep-2007
  • Show More Cited By

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