Detecting clinical practice guideline-recommended wheelchair propulsion patterns with wearable devices following a wheelchair propulsion intervention

References

• Askari, S., Kirby, R. L., Parker, K., Thompson, K., & O’Neill, J. (2013). Wheelchair propulsion test: Development and measurement properties of a new test for manual wheelchair users. Archives of Physical Medicine and Rehabilitation, 94(9), 1690–1698. https://doi.org/10.1016/j.apmr.2013.03.002
   PubMed Web of Science ®Google Scholar
• Boninger, M. L., Souza, A. L., Cooper, R. A., Fitzgerald, S. G., Koontz, A. M., & Fay, B. T. (2002). Propulsion patterns and pushrim biomechanics in manual wheelchair propulsion. Archives of Physical Medicine and Rehabilitation, 83(5), 718–723. https://doi.org/10.1053/apmr.2002.32455
   PubMed Web of Science ®Google Scholar
• Brose, S. W., Boninger, M. L., Fullerton, B., McCann, T., Collinger, J. L., Impink, B. G., & Dyson-Hudson, T. A. (2008). Shoulder ultrasound abnormalities, physical examination findings, and pain in manual wheelchair users with spinal cord injury. Archives of Physical Medicine and Rehabilitation, 89(11), 2086–2093. https://doi.org/10.1016/j.apmr.2008.05.015
   PubMed Web of Science ®Google Scholar
• Brown, D. D., Knowlton, R. G., Hamill, J., Schneider, T. L., & Hetzler, R. K. (1990). Physiological and biomechanical differences between wheelchair-dependent and able-bodied subjects during wheelchair ergometry. European Journal of Applied Physiology and Occupational Physiology, 60(3), 179–182. https://doi.org/10.1007/bf00839155
   PubMed Web of Science ®Google Scholar
• Bulling, A., Blanke, U., & Schiele, B. (2014). ACM computing surveys. A Tutorial on Human Activity Recognition Using Body-worn Inertial Sensors, 46 (3), 1–33. https://doi.org/10.1145/2499621
   Google Scholar
• Chen, P. B., & Morgan, K. (2018). Toward community-based wheelchair evaluation with machine learning methods. Journal of Rehabilitation and Assistive Technologies Engineering, 5 (Special Collection) , 2055668318808409. https://doi.org/10.1177/2055668318808409
   Google Scholar
• Cooper, R. A. (2009). SMARTWheel: From concept to clinical practice. Prosthetics and Orthotics International, 33(3), 198–209. https://doi.org/10.1080/03093640903082126
   PubMed Web of Science ®Google Scholar
• French, B., Smailagic, A., Siewiorek, D., Ambur, V., & Tyamagundlu, D. (2008). Classifying wheelchair propulsion patterns with a wrist mounted accelerometer. Proceedings of the ICST 3rd International Conference on Body Area Networks. Institute for Computer Sciences, Social-Informatics and Telecommunications Engingeering, Tempe, AZ.
   Google Scholar
• Garcia-Masso, X., Serra-Ano, P., Gonzalez, L. M., Ye-Lin, Y., Prats-Boluda, G., & Garcia-Casado, J. (2015). Identifying physical activity type in manual wheelchair users with spinal cord injury by means of accelerometers. Spinal Cord, 53(10), 772–777. https://doi.org/10.1038/sc.2015.81
   PubMed Web of Science ®Google Scholar
• Goodale, M. A., Jakobson, L. S., & Keillor, J. M. (1994). Differences in the visual control of pantomimed and natural grasping movements. Neuropsychologia, 32(10), 1159–1178. https://doi.org/10.1016/0028-3932(94)90100-7
   PubMed Web of Science ®Google Scholar
• Herrera, R., Heravi, B., Barbareschi, G., Carlson, T., & Holloway, C. (2018). Towards a wearable wheelchair monitor: Classification of push style based on inertial sensors at multiple upper limb locations. [Paper presentation]. 2018 IEEE International Conference on Systems, Man, and Cybernetics, Miyazaki, Japan.
   Google Scholar
• Hiremath, S. V., Ding, D., Farringdon, J., Vyas, N., & Cooper, R. A. (2013). Physical activity classification utilizing SenseWear activity monitor in manual wheelchair users with spinal cord injury. Spinal Cord, 51(9), 705–709. https://doi.org/10.1038/sc.2013.39
   PubMed Web of Science ®Google Scholar
• Hiremath, S. V., Intille, S. S., Kelleher, A., Cooper, R. A., & Ding, D. (2015). Detection of physical activities using a physical activity monitor system for wheelchair users. Medical Engineering & Physics, 37(1), 68–76. https://doi.org/10.1016/j.medengphy.2014.10.009
   PubMed Web of Science ®Google Scholar
• Hiremath, S. V., Intille, S. S., Kelleher, A., Cooper, R. A., & Ding, D. (2016). Estimation of energy expenditure for wheelchair users using a physical activity monitoring system. Archives of Physical Medicine and Rehabilitation, 97(7), 1146–1153. https://doi.org/10.1016/j.apmr.2016.02.016
   PubMed Web of Science ®Google Scholar
• Holloway, C., Heravi, B., Barbareschi, G., Nicholson, S., & Hailes, S. (2016). Street rehab: Linking accessibility and rehabilitation. 2016 Proceedings from the 38th International Conference of the IEEE Engineering in Medicine and Biology Society Orlando, FL, USA (pp. 3167–3170). IEEE. https://doi.org/10.1109/EMBC.2016.7591401
   Google Scholar
• Impink, B. G., Boninger, M. L., Walker, H., Collinger, J. L., & Niyonkuru, C. (2009). Ultrasonographic median nerve changes after a wheelchair sporting event. Archives of Physical Medicine and Rehabilitation, 90(9), 1489–1494. https://doi.org/10.1016/j.apmr.2009.02.019
   PubMed Web of Science ®Google Scholar
• Karinharju, K. S., Boughey, A. M., Tweedy, S. M., Clanchy, K. M., Trost, S. G., & Gomersall, S. R. (2019). Validity of the Apple Watch® for monitoring push counts in people using manual wheelchairs. The Journal of Spinal Cord Medicine 44 (2): , 212–220 doi:10.1080/10790268.2019.1576444 .
   PubMed Web of Science ®Google Scholar
• Klaesner, J., Morgan, K. A., & Gray, D. B. (2014). The development of an instrumented wheelchair propulsion testing and training device. Assistive Technology, 26(1), 24–32. https://doi.org/10.1080/10400435.2013.792020
   PubMed Web of Science ®Google Scholar
• Kooijmans, H., Horemans, H. L., Stam, H. J., & Bussmann, J. B. (2014). Valid detection of self-propelled wheelchair driving with two accelerometers. Physiological Measurement, 35(11), 2297–2306. https://doi.org/10.1088/0967-3334/35/11/2297
   PubMed Web of Science ®Google Scholar
• Kuhn, M. (2008). Building predictive models in R using the caret package. Journal of Statistical Software, 28((5)), 1–26. https://doi.org/10.18637/jss.v028.i05
   PubMed Web of Science ®Google Scholar
• Lara, O. D., & Labrador, M. A. (2013). A survey on human activity recognition using wearable sensors. IEEE Communications Surveys and Tutorials, 15(3), 1192–1209. https://doi.org/10.1109/Surv.2012.110112.00192
   Web of Science ®Google Scholar
• Maaten, L. V. D., & Hinton, G. (2008). Visualizing data using t-SNE. Journal of Machine Learning Research, 9(Nov), 2579–2605 http://jmlr.org/papers/v9/vandermaaten08a.html.
   Google Scholar
• Mercer, J. L., Boninger, M., Koontz, A., Ren, D., Dyson-Hudson, T., & Cooper, R. (2006). Shoulder joint kinetics and pathology in manual wheelchair users. Clinical Biomechanics (Bristol, Avon), 21(8), 781–789. https://doi.org/10.1016/j.clinbiomech.2006.04.010
   PubMed Web of Science ®Google Scholar
• Mulroy, S. J., Hatchett, P., Eberly, V. J., Haubert, L. L., Conners, S., & Requejo, P. S. (2015). Shoulder strength and physical activity predictors of shoulder pain in people with paraplegia from spinal injury: Prospective cohort study. Physical Therapy, 95(7), 1027–1038. https://doi.org/10.2522/ptj.20130606
   PubMed Web of Science ®Google Scholar
• Paralyzed Veterans of America Consortium for Spinal Cord, Medicine. (2005). Preservation of upper limb function following spinal cord injury: A clinical practice guideline for health-care professionals. Journal of Spinal Cord Medicine, 28(5), 434–470. https://doi.org/10.1080/10790268.2005.11753844
   PubMed Web of Science ®Google Scholar
• Van Drongelen, S., Boninger, M. L., Impink, B. G., & Khalaf, T. (2007). Ultrasound imaging of acute biceps tendon changes after wheelchair sports. Archives of Physical Medicine and Rehabilitation, 88(3), 381–385. https://doi.org/10.1016/j.apmr.2006.11.024
   PubMed Web of Science ®Google Scholar
• Worobey, L. A., Lin, Y. S., Koontz, A. M., & Boninger, M. L. (2015). Dynamic three-dimensional ultrasound to evaluate scapular movement among manual wheelchair users and healthy controls. Topics in Spinal Cord Injury Rehabilitation, 21(4), 303–312. https://doi.org/10.1310/sci2104-303
   PubMedGoogle Scholar