Abstract
The great potential of robots in extracting quantitative and meaningful data is not always exploited. The aim of the present work is to propose a simple parameter that allows to follow the performance of subjects during upper limb robotic training with no additional effort for patients or clinicians.
The parameter has been computed using data automatically recorded by the robot during each session of training. In this chapter we give the technical guidelines to define the performance parameter and we use it to evaluate the training outcome in a group of 14 children affected by Cerebral Palsy.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Lo, H.S., Xie, S.Q.: Exoskeleton robots for upper-limb rehabilitation: state of the art and future prospects. Med. Eng. Phys. 34(3), 261–268 (2012)
Krebs, H.I., Volpe, B.T., Ferraro, M., Fasoli, S., et al.: Robot-aided Neurorehabilitation: from evidence-based to science-based rehabilitation. Top Stroke Rehabil. 8(4), 54–70 (2002)
Granger, C.V., Hamilton, B.B., Keith, R.A., Zielezny, M., Sherwin, F.S.: Advances in functional assessment for medical rehabilitation. Topics Geriatr. Rehabil. 1(3), 59–74 (1986)
Fortin, C., Ehrmann Feldman, D., Cheriet, F., Labelle, H.: Clinical Methods For Quantifying Body Segment Posture: A Literature Review. Disabil. Rehabil. 33(5), 367–383 (2011)
Maciejasz, P., Eschweiler, J., Gerlach-Hahn, K., Jansen-Toy, A., Leonhardt, S.: A survey on robotic devices for upper limb rehabilitation. J. NeuroEng. Rehabil. 11(1), 3 (2014)
Fasoli, S.E., Krebs, H.I., Stein, J., Frontera, W.R., et al.: Effects of robotic therapy on motor impairment and recovery in chronic stroke. Arch. Phys. Med. Rehabil. 84(4), 477–482 (2003)
Brewer, B.R., McDowell, S.K., Worthen-Chaudhari, L.C.: Poststroke upper extremity rehabilitation: a review of robotic systems and clinical results. Top Stroke Rehabil. 14(6), 22–44 (2007)
Amirabdollahian, F., Germano, T.G., Garth, R.J.: The peg-in-hole: a VR-based haptic assessment for quantifying upper limb performance and skills. In: 9th International Conference on Rehabilitation Robotics, ICORR 2005. IEEE (2005)
Merlo, A., Longhi, M., Giannotti, E., Prati, P., et al.: Upper limb evaluation with robotic exoskeleton. Normative values for indices of accuracy, speed and smoothness. NeuroRehabilitation 33(4), 523–530 (2013)
Peri, E., Biffi, E., Maghini, C., Iammarrone Servodio, F., Gagliardi, C., et al.: A new quantitative performance parameter for monitoring robotics rehabilitation treatment. ACM Digital Library (2014)
Randall, M., Carlin, J.B., Chondros, P., Reddihough, D.: Reliability of the Melbourne assessment of unilateral upper limb function. Dev. Med. Child Neurol. 43(11), 761–777 (2001)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Peri, E. et al. (2015). A New Quantitative Performance Parameter for Monitoring Robotics Rehabilitation Treatment: Technical Guidelines. In: Fardoun, H., R. Penichet, V., Alghazzawi, D. (eds) ICTs for Improving Patients Rehabilitation Research Techniques. REHAB 2014. Communications in Computer and Information Science, vol 515. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-48645-0_5
Download citation
DOI: https://doi.org/10.1007/978-3-662-48645-0_5
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-48644-3
Online ISBN: 978-3-662-48645-0
eBook Packages: Computer ScienceComputer Science (R0)