Abstract
Low back pain is an important problem in industrialized countries. Two key factors limit the effectiveness of physiotherapy: low compliance of patients with repetitive movement exercises, and inadequate awareness of patients of their own posture. The Backtrainer system addresses these problems by real-time monitoring of the spine position, by providing a framework for most common physiotherapy exercises for the low back, and by providing feedback to patients in a motivating way. A minimal sensor configuration was identified as two inertial sensors that measure the orientation of the lower back at two points with three degrees of freedom. The software was designed as a flexible platform to experiment with different hardware, and with various feedback modalities. Basic exercises for two types of movements are provided: mobilizing and stabilizing. We developed visual feedback - abstract as well as in the form of a virtual reality game - and complemented the on-screen graphics with an ambient feedback device. The system was evaluated during five weeks in a rehabilitation clinic with 26 patients and 15 physiotherapists. Subjective satisfaction of subjects was good, and we interpret the results as encouraging indication for the adoption of such a therapy support system by both patients and therapists.
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References
van Tulder, M., Koes, B., Bombardier, C.: Low back pain. Best Pract. Res. Clin. Rheumatol. 16, 761–775 (2002)
van Tulder, M., Koes, B., Bouter, L.: A cost-of-illness study of back pain in The Netherlands. Pain 62, 233–240 (1995)
Deyo, R., Weinstein, J.: Low back pain. N Engl. J. Med. 344, 363–370 (2001)
Abenhaim, L., et al.: The role of activity in the therapeutic management of back pain: Report of the Paris International Task Force on Back Pain. Spine 25, 1S–33S (2000)
Hayden, J., van Tulder, M., Tomlinson, G.: Systematic review: strategies for using exercise therapy to improve outcomes in chronic low back pain. Ann. Intern. Med. 142, 776–785 (2005)
Van Herp, G., Rowe, P., Salter, P., Paul, J.P.: Three-dimensional lumbar spinal kinematics: a study of range of movement in 100 healthy subjects aged 20 to 60+ years. Rheumatology 39, 1337–1340 (2000)
Jordan, K., Dziedzic, K., Mullis, R., Dawes, P.T., Jones, P.W.: The development of three-dimensional range of motion measurement systems for clinical practice. Rheumatology 40, 1081–1084 (2001)
Dunne, L.E., Walsh, P., Smyth, B., Caulfield, B.: Design and evaluation of a wearable optical sensor for monitoring seated spinal posture. In: ISWC, pp. 65–68 (2006)
Lee, R.Y., Laprade, J., Fung, E.H.: A real-time gyroscopic system for three-dimensional measurement of lumbar spine motion. Medical Engineering & Physics 16, 817–824 (2003)
Zhengyi, Y., Griffith, J., Leung, P., Pope, M., Sun, L., Lee, R.: The accuracy of surface measurement for motion analysis of osteoporotic thoracolumbar spine. In: 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005, pp. 6871–6874 (2005)
Mörl, F., Blickhan, R.: Three-dimensional relation of skin markers to lumbar vertebrae of healthy subjects in different postures measured by open MRI. European Spine Journal 15, 742–751 (2006)
Engels, L., Leloup, T., Warzée, N.: Imaging technologies for avoiding back pain at work. In: Proceedings First Symposium of the IEEE/EMBS Benelux Chapter, pp. 235–238 (2006)
Sucar, L.E., Leder, R.S., Reinkensmeyer, D.J., Hernndez, J., Azcrate, G., Casteeda, N., Saucedo, P.: Gesture therapy - a low-cost vision-based system for rehabilitation after stroke. In: Azevedo, L., Londral, A.R. (eds.) HEALTHINF (2), INSTICC - Institute for Systems and Technologies of Information, Control and Communication, pp. 107–111 (2008)
Huang, H., Ingalls, T., Olson, L., Ganley, K., Rikakis, T., He, J.: Interactive multimodal biofeedback for task-oriented neural rehabilitation. In: 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005, pp. 2547–2550 (2005)
Mankoff, J., Dey, A.K., Hsieh, G., Kientz, J., Lederer, S., Ames, M.: Heuristic evaluation of ambient displays. In: CHI 2003: Proceedings of the SIGCHI conference on Human factors in computing systems, pp. 169–176. ACM, New York (2003)
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Brodbeck, D. et al. (2010). Augmented Feedback System to Support Physical Therapy of Non-specific Low Back Pain. In: Fred, A., Filipe, J., Gamboa, H. (eds) Biomedical Engineering Systems and Technologies. BIOSTEC 2009. Communications in Computer and Information Science, vol 52. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11721-3_30
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DOI: https://doi.org/10.1007/978-3-642-11721-3_30
Publisher Name: Springer, Berlin, Heidelberg
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