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Wearable sensors in ecological rehabilitation environments

Published: 13 September 2014 Publication History

Abstract

Rehabilitation after injury or stroke is a long process towards regaining function, mobility, and independence. Changes exhibited in these areas tend to be subtle and highly dependent on the patient, their injury, and the intensity of rehabilitation efforts. To provide a fine-grained assessment of patient progress, we undertook a study to quantitatively capture movements during inpatient rehabilitation. We utilized wearable inertial sensors to collect data from participants receiving therapy services at an inpatient rehabilitation facility. Participant performance was recorded in an ecological environment on a sequence of ambulatory tasks. A custom software system was developed to process sensor signals and compute metrics describing ambulation. A comparison of metrics one week apart suggests quantifiable changes in movement.

References

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Godfrey, A., Conway, R., Meagher, D., and OLaighin, G. Direct measurement of human movement by accelerometry. Medical engineering & physics 30, 10 (2008), 1364--1386.
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Menz, H. B., Lord, S. R., and Fitzpatrick, R. C. Age-related differences in walking stability. Age and Ageing 32, 2 (2003), 137--142.
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Moe-Nilssen, R. and Helbostad, J. L. Estimation of gait cycle characteristics by trunk accelerometry. Journal of Biomechanics 37, 1 (2004), 121--126.
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Salarian, A., Horak, F. B., Zampieri, C., Carlson-Kuhta, P., Nutt, J. G., and Aminian, K. iTUG, a Sensitive and Reliable Measure of Mobility. IEEE Transactions on Neural Systems and Rehabilitation Engineering 18, 3 (2010), 303--310.
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McMahon, B. T. and Shaw, L. R. Work worth doing: advances in brain injury rehabilitation. Paul M. Deutsch Press, Orlando, FL, 1991.

Cited By

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  • (2017)A Behaviour Monitoring System (BMS) for Ambient Assisted LivingSensors10.3390/s1709194617:9(1946)Online publication date: 24-Aug-2017
  • (2016)Learning from less for betterProceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing10.1145/2971648.2971701(13-24)Online publication date: 12-Sep-2016
  • (2015)Toward Automating Clinical Assessments: A Survey of the Timed Up and GoIEEE Reviews in Biomedical Engineering10.1109/RBME.2015.23906468(64-77)Online publication date: 2015
  • Show More Cited By

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cover image ACM Conferences
UbiComp '14 Adjunct: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication
September 2014
1409 pages
ISBN:9781450330473
DOI:10.1145/2638728
Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 September 2014

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Author Tags

  1. accelerometer
  2. gait analysis
  3. inertial measurement unit
  4. rehabilitation
  5. wearable sensors

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UbiComp '14
UbiComp '14: The 2014 ACM Conference on Ubiquitous Computing
September 13 - 17, 2014
Washington, Seattle

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Overall Acceptance Rate 764 of 2,912 submissions, 26%

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Cited By

View all
  • (2017)A Behaviour Monitoring System (BMS) for Ambient Assisted LivingSensors10.3390/s1709194617:9(1946)Online publication date: 24-Aug-2017
  • (2016)Learning from less for betterProceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing10.1145/2971648.2971701(13-24)Online publication date: 12-Sep-2016
  • (2015)Toward Automating Clinical Assessments: A Survey of the Timed Up and GoIEEE Reviews in Biomedical Engineering10.1109/RBME.2015.23906468(64-77)Online publication date: 2015
  • (2015)Predicting Functional Independence Measure Scores During Rehabilitation With Wearable Inertial SensorsIEEE Access10.1109/ACCESS.2015.24682133(1350-1366)Online publication date: 2015

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