Abstract
The ability to rise from a chair is a prerequisite for upright mobility and independent living. We are developing an inexpensive stereo based system capable of cheaply and automatically assessing the quality of “sit-tostand” movements in environments outside of clinics. Automated assessments have been designed to translate perceived kinematics onto assessment scores that are consistent with expert opinion on the Berg Balance Scale (BBS). In addition, automated assessments reveal movement strategies associated with age and disability, like the use of the arms while rising or excess extension at the knees. In this paper, we present preliminary work to translate perceived movement kinematics from community dwelling balance impaired elders onto expert assessments of sit-to-stand health. Our ultimate goal is to create automated tools to identify falls risk, quantify real-world movement changes that result from therapeutic interventions, and perform ergonomic analyses of elders’ seating arrangements in the home.
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References
Dawson D, Hendershot G, Fulton J (1987). Aging in the Eighties. Functional Limitations of Individuals Age 65 and Over. National Center for Health Statistics: Advance Data from Vital and Health Statistics, DHHS (PHS) 133: 87–1250.
Topper AK, Maki BE, Holliday PJ. (1993). Are activity-based assessments of balance and gait in the elderly predictive of risk of falling and/or type of fall? J Am Geriatr Soc 41: 479–87.
Cheng, P-T., M-Y. Liaw, M-K. Wong, F-T. Tang, M-Y. Lee, and P-S. Lin (1998). The Sit-to-Stand Movement in Stroke Patients and Its Correlation With Falling. Arch Phys Med & Rehab 79: 1043–46.
Hesse, S, M Schauer, M Petersen, and M Jahnke (1998). Sit-to-Stand Manoeuvre in Hemiparetic Patients Before and After a 4-Week Rehabilitation Programme. Scand J Rehab Med, 30: 81–86.
Papa, E and. Sit-to-stand motor strategies investigated in able-bodied young and elderly subjects. J Biomechanics, 33(9): 1113–1122.
Pai, Y.-C. and Patton, J.L., (1997). Center of mass velocity-position predictions for balance control. J Biomechanics 30: 347–354.
P.O. Riley, D.E. Krebs and R.A. Popat (1997), Biomechanical analysis of failed sit-to-stand. IEEE Trans Rehabil Eng 5: 353–359
Ramanan D and Forsyth D (2003). Finding and tracking people from the bottom up. Computer Vision and Pattern Recognition..
Muendermann L, Corazza S, and Andriacchi T (2006). The Evolution of methods for the capture of human movement leading to markerless motion capture for biomechanical applications. J NeuroEngineering and Rehabilitation. 3(1).
Sigal L and Black MJ (2006), Predicting 3D People from 2D Pictures. IV Conference on Articulated Motion and Deformable Objects.
James A (2006). Posture and activity silhouettes for self-reporting, interruption management, and attentive interfaces. International Conference on Intelligent User Interfaces.
Goffredo M, Conforto S, Schmid M, Neri M, D’Alessio T. Markerless evaluation of sit-to-stand strategy in Gauss-Laguerre domain (2006), Congress of the Int Soc of Electrophysiology and Kinesiology.
Goffredo M, Bernabucci I, Schmid M, Conforto S (2008). A neural tracking and motor control approach to improve rehabilitation of upper limb movements. J Neuroeng Rehabil. 5:5.
Wren C., Azarbayejani A, Darrell T., Pentland P. Pfinder: Real-Time Tracking of the Human Body (1997). IEEE Transactions on Pattern Analysis and Machine Intelligence,19(7):780–785
Berg K, Wood-Dauphinee S, Williams J, and Maki B (1992): Measuring balance in the elderly: Validation of an instrument. Can. J. Pub. Health. 2:S7–S11
E.R. Ikeda, M.L. Schenkman, P.O. Riley and W.A. Hodge (1991), Influence of age on dynamics of rising from a chair. Phys Ther 71 473–481
Ganea R, Paraschiv-Ionescu A, Salarian A, Büla C, Martin E, Rochat S, Hoskovec C, Piot-Ziegler C, Aminian K (2007). Kinematics and dynamic complexity of postural transitions in frail elderly subjects. Conf Proc IEEE Eng Med Biol Soc. 6118-21.
Allin, S. and Ramanan, D(2007). “Assessment of Post Stroke Functioning Using Machine Vision.” IAPR Machine Vision and Applications (MVA), Tokyo, Japan.
Deva Ramanan, David A. Forsyth, Andrew Zisserman (2007): Tracking People by Learning Their Appearance. IEEE Trans. Pattern Anal. Mach. Intell. 29(1): 65–81
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Allin, S., Mihailidis, A. (2009). Low-cost, Automated Assessment of Sit-To-Stand Movement in “Natural” Environments. In: Vander Sloten, J., Verdonck, P., Nyssen, M., Haueisen, J. (eds) 4th European Conference of the International Federation for Medical and Biological Engineering. IFMBE Proceedings, vol 22. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89208-3_20
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DOI: https://doi.org/10.1007/978-3-540-89208-3_20
Publisher Name: Springer, Berlin, Heidelberg
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