Abstract
This work presents a novel accelerometer-based platform, designed to answer to the increasing request from the clinical practice of new tools to objectively quantify movement quality and patient performances during the execution of functional rehabilitation tasks. Inertial data from a first cohort of stroke patients performing upper and lower limbs rehabilitation exercises have been collected using the new platform. The aim of this preliminary study is to correlate well-known metrics obtained from the data, with subjective scores given by therapists. The goal is to figure out if some of the metrics has the potential to reflect the visual inspection of trained and skilled therapists. Preliminary results show that energy expenditure, smoothness and acceleration variability appear to match therapists’ evaluations. Additionally, energy expenditure could have the potential to reveal rehabilitation progresses. Future analyses on a larger dataset are already planned for stronger evidence of these early results.
MAGIC EU PCP Project N. 687228.
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
Steins, D., Dawes, H., Esser, P., Collett, J.: Wearable accelerometry-based technology capable of assessing functional activities in neurological populations in community settings: a systematic review. J. Neuroeng. Rehabil. 13(3), 11–36 (2014)
de los Reyes-Guzmán, A., et al.: Quantitative assessment based on kinematic measures of functional impairments during upper extremity movements: a review. Clin. Biomech. 29(7), 719–727 (2014)
Thies, S.B., et al.: Movement variability in stroke patients and controls performing two upper limb functional tasks: a new assessment methodology. J. Neuroeng. Rehabil. 6, 2 (2009)
Moro, L., et al.: A novel artifical intelligence – powered mobile platform for home-based rehabilitation. In: Proceedings 8th World Congress of Biomechanics, Dublin (2018)
Hubble, R., Naughton, G., Silburn, P., Cole, M.: Wearable sensor use for assessing standing balance and walking stability in people with parkinson’s disease: a systematic review. PLoS ONE 10(4), e0123705 (2015)
Butt, A.H., et al.: Biomechanical parameter assessment for classification of parkinson’s disease on clinical scale. Int. J. Distrib. Sens. Netw. 13, 5 (2017)
Balasubramanian, S., Melendez-Calderon, A., Roby-Brami, A., Burdet, E.: On the analysis of movement smoothness. J. Neuroeng. Rehabil. 12, 112 (2015)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Mantoan, A. et al. (2019). A Preliminary Study on Quantitative Assessment of Functional Tasks on Stroke Patients Using A Novel Wearable Platform. In: Masia, L., Micera, S., Akay, M., Pons, J. (eds) Converging Clinical and Engineering Research on Neurorehabilitation III. ICNR 2018. Biosystems & Biorobotics, vol 21. Springer, Cham. https://doi.org/10.1007/978-3-030-01845-0_165
Download citation
DOI: https://doi.org/10.1007/978-3-030-01845-0_165
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-01844-3
Online ISBN: 978-3-030-01845-0
eBook Packages: EngineeringEngineering (R0)