Kevin Huang
Sara Kiesler
Jennifer Mankoff
ABSTRACT
Physical therapists could make better treatment decisions if they had accurate patient home exercise data but today this information is only available from patient self-report. A more accurate source of data could be gained from wearable computing designed for physical therapy exercise support. Existing systems have been tested in the lab but we have little information about issues they may face in home settings. We designed a technology probe, SenseCap, and deployed it for seven days in ten physical therapy patients' homes. SenseCap is a wearable physical therapy support system that gathers patient exercise compliance and performance data and summarizes the data in charts on an iPad Dashboard for physical therapists to view when patients return to the clinic. In this paper, we present the results of our deployment, show in-home patient exercise data gathered by the probe, and make design recommendations based on patient and physical therapist responses.
- Agrawal, Y., Carey, J. P., Della, C. C., Schubert, M. C. and Minor, L. B. Disorders of balance and vestibular function in US adults. Arch Intern Med, 169, 10 (2009), 938--944.Google Scholar
Cross Ref
- Axelrod, L. and Fitzpatrick, G. The reality of homes fit for heroes: design challenges for rehabilitation technology at home. Journal of Assistive Technology, 3, 2 (2009), 35--43.Google ScholarCross Ref
- Balaam, M., Rennick, E. S., Fitzpatric, G., Rodden, T., Hughes, A. M., Wilkinson, A., Nind, T., Axelrod, L., Harris, E., Ricketts, I., Mawson, S., and Burridge, J. Motivating Mobility: Designing for lived motivation in stroke rehabilitation. In proc. CHI 2011, ACM Press (2002), 3073--3082. Google ScholarDigital Library
- Balance and Vestibular Rehabilitation Therapy http://www.tchain.com/otoneurology/treatment/rehab.htmlGoogle Scholar
- Brutovsky, J. and Novak, D. Low-cost motivated rehabilitation system for post-operation exercises. IEEE Engineering in Medicine and Biology Society 2006, supplement, 6663--6666.Google Scholar
- Chandra, H., Oakley, I. and Silva, H. Designing to support prescribed home exercises: Understanding the needs of physiotherapy patients. In proc. ACM NordiCHI 2012, ACM Press (2012), 607--616. Google ScholarDigital Library
- Chen, P., Hsieh, W., Wei, S., and Kao, C. Interactive wiimote gaze stabilization exercise training system for patients with vestibular hypofunction. Journal of NeuroEngineering and Rehabilitation, 77, 9 (2012).Google Scholar
- Consolvo, S., McDonald, D. W. and Landay, J. Theory driven design strategies for technologies that support behavior change in everyday life. In Proc. CHI 2003, ACM Press (2003), 405--414. Google ScholarDigital Library
- Hutchinson, H., Mackay, W., Westerlund, B., Bederson, B. B., Druin, A., Plaisant, C., Beaudouin-Lafon, M., Conversy, S., Evans, H., Hansen, H., Roussel, N. and Eiderback, B. Technology probes: inspiring design for and with families. In Proc. CHI, ACM Press (2003), 17--24. Google ScholarDigital Library
- Melzi, S., Borsani, L., and Cesana, M. The virtual trainer: Supervising movements through a wearable wireless sensor network. In Sensor, Mesh, and Ad Hoc Communications and Networks Workshops 2009, 1--3.Google Scholar
- Milenkovic, M., Jovanov, E., Chapman, J., Raskovic, D. and Price, J. An accelerometer-based physical rehabilitation system. In Proc. System Theory 2002, 57--60.Google ScholarCross Ref
- Neuhauser, H. K., Radtke, A., von Brevern, M., Lezius, F., Feldmann, M. and Lempert, T. Burden of dizziness and vertigo in the community. Archives of Internal Medicine. 168, 19 (2008), 2118--2124.Google ScholarCross Ref
- Shiel Jr, W. C. Osteoarthritis (Degenerative Arthritis) Causes, Diagnosis, Symptoms. MedicineNet, Inc, April 2008. http://medicinenet.com/osteoarthritis/article.htm.Google Scholar
- Sluijs, E. M., Kok, G. J. and van der Zee, J. Correlates of exercise compliance in physical therapy. In Phys Ther, 73, 11 (1993), 771--786Google ScholarCross Ref
- Stone, A. A., Shiffman, S., Schwartz, J. E., Broderick, J. E. and Hufford, M. R. Patient compliance with paper and electronic diaries. Control Clin Trials, 24, 2 (2003), 182--99.Google ScholarCross Ref
- Szturm, T., Ireland, D. J. and Lessing-Turner, M. Comparison of different exercise programs in the rehabilitation of patients with chronic peripheral vestibular dysfunction. Journal of Vestibular Research, 4, 6 (1994), 461--79.Google ScholarCross Ref
- Taylor, P. E. Sensor-based assessment of the quality of human motion during therapeutic exercise. Dissertations 2012, Paper 200. http://repository.cmu.edu/dissertations/200Google Scholar
- Taylor, P. E., Gustavo, J. M., Kanade, T. and Hodgins, J. K. Classifying Human Motion Quality for Knee Osteoarthritis Using Accelerometers. In Proc. Engineering in Medicine and Biology Society (EMBC) 2010, 339--343.Google ScholarCross Ref
- Tseng, Y., Wu, C., Wu, F. and Huang, C. A wireless human motion capturing system for home rehabilitation. International Conference on Mobile Data Management 2009, 359--360. Google ScholarDigital Library
- Whitney, S. L. and Sparto, P. J. Principles of vestibular physical therapy rehabilitation. Neuroreabilitation, 29, 2 (2011), 157--166.Google Scholar
Index Terms
- A technology probe of wearable in-home computer-assisted physical therapy
Recommendations
The Quantified Self and Physical Therapy: The Application of Motion Sensing Technologies
ICCDA '17: Proceedings of the International Conference on Compute and Data AnalysisThe quantified self and in particular motion sensing applications have the potential to advance the practice of physical therapy by allowing a patient themselves and/or their physical therapist to measure the patient's performance in carrying out ...
User centered design and assessment of a wearable application for children with autistic spectrum disorder supporting daily activities
PETRA '20: Proceedings of the 13th ACM International Conference on PErvasive Technologies Related to Assistive EnvironmentsThe paper presents the development and testing of a mobile and wearable solution for supporting children with Autism Spectrum Disorders and their carers (parents, specialists) in everyday living. The platform supports four main axes: location monitoring,...
Using wearable activity type detection to improve physical activity energy expenditure estimation
UbiComp '10: Proceedings of the 12th ACM international conference on Ubiquitous computingAccurate, real-time measurement of energy expended during everyday activities would enable development of novel health monitoring and wellness technologies. A technique using three miniature wearable accelerometers is presented that improves upon state-...
Comments