Rehabilitation strategy for post-stroke recovery using an innovative elbow exoskeleton

Journal article


Manna, S. and Dubey, V. N. 2019. Rehabilitation strategy for post-stroke recovery using an innovative elbow exoskeleton. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine. 233 (6), pp. 668-680. https://doi.org/10.1177/0954411919847058
AuthorsManna, S. and Dubey, V. N.
Abstract

Intensive and adaptive rehabilitation therapy is beneficial for post-stroke recovery. Three modes of rehabilitation are generally performed at different stages after stroke: external force-based control in the acute stage, assistive force-based rehabilitation in the midway of recovery and resistive force-based rehabilitation in the last stage. To achieve the above requirements, an innovative elbow exoskeleton has been developed to incorporate the three modes of rehabilitation in a single structure. The structure of the exoskeleton has been designed in such a way that the whole working region is divided into three where each region can provide a different mode of rehabilitation. Recovery rate can be varied for individuals since it depends on various parameters. To evaluate the rate of recovery, three joint parameters have been identified: range of angular movement, angular velocity and joint torque. These parameters are incorporated into the framework of planning a novel rehabilitation strategy, which is discussed in this article along with the structural description of the designed exoskeleton.

KeywordsRehabilitation devices ; Mechanism design; Exoskeleton; Post-stroke recovery; Mechanical design
Year2019
Journal Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine
Journal citation233 (6), pp. 668-680
PublisherSAGE Journals
ISSN0954-4119
Digital Object Identifier (DOI)https://doi.org/10.1177/0954411919847058
Official URLhttp://doi.org/10.1177/0954411919847058
Related URLhttp://eprints.bournemouth.ac.uk/32237/
Publication dates
Online02 May 2019
Print01 Jun 2019
Publication process dates
Deposited11 Jan 2021
Accepted28 Mar 2019
Accepted author manuscript
License
File Access Level
Open
Output statusPublished
References

1. Thrift, AG, Thayabaranathan, T, Howard, G. Global stroke statistics. Int J Stroke 2017; 12: 13–32.
2. Lo, HS, Xie, SQ. Exoskeleton robots for upper-limb rehabilitation: state of the art and future prospects. Med Eng Phys 2012; 34: 261–268.
3. Krebs, HI, Ferraro, M, Buerger, SP. Rehabilitation robotics: pilot trial of a spatial extension for MIT-Manus. J NeuroEng Rehabil 2004; 1: 5.
4. Proietti, T, Crocher, V, Roby-Brami, A. Upper-limb robotic exoskeletons for neurorehabilitation: a review on control strategies. IEEE Rev Biomed Eng 2016; 9: 4–14.
5. Pineda-Rico, Z, de Lucio, JAS, Martinez Lopez, FJ. Design of an exoskeleton for upper limb robot-assisted rehabilitation based on co-simulation. J Vibroeng 2016; 18: 3269–3278.
6. Chonnaparamutt, W, Supsi, W. SEFRE: semiexoskeleton rehabilitation system. Appl Bionic Biomech 2016; 2016: 8306765.
7. Peternel, L, Noda, T, Petrič, T. Adaptive control of exoskeleton robots for periodic assistive behaviours based on EMG feedback minimisation. PLoS ONE 2016; 11: e0148942.
8. Bhadane, M, Liu, J, Rymer, WZ. Re-evaluation of EMG-torque relation in chronic stroke using linear electrode array EMG recordings. Sci Rep 2016; 6: 28957.
9. Cesqui, B, Tropea, P, Micera, S. EMG-based pattern recognition approach in post stroke robot-aided rehabilitation: a feasibility study. J NeuroEng Rehabil 2013; 10: 75.
10. Koyas, E, Hocaoglu, E, Patoglu, V. Detection of intention level in response to task difficulty from EEG signals. In: International workshop on machine learning for signal processing, Southampton, 22–25 September 2013, pp.1–6. New York: IEEE.
11. Marchal-Crespo, L, Reinkensmeyer, DJ. Review of control strategies for robotic movement training after neurologic injury. J NeuroEng Rehabil 2009; 6: 20.
12. Ibrahim, I, Berger, W, Trippel, M. Stretch-induced electromyographic activity and torque in spastic elbow muscles: differential modulation of reflex activity in passive and active motor tasks. Brain 1993; 116: 971–989.
13. Chiri, A, Giovacchini, F, Vitiello, N. HANDEXOS: towards an exoskeleton device for the rehabilitation of the hand. In: IEEE/RSJ international conference on intelligent robots and systems, St. Louis, MO, 10–15 October 2009, pp.1106–1111. New York: IEEE.
14. Herder, JL, Vrijlandt, N, Antonides, T. Principle and design of a mobile arm support for people with muscular weakness. J Rehabil Res Dev 2006; 43: 591–604.
15. Manna, SK, Dubey, VN. Upper arm exoskeleton – what specifications will meet users’ acceptability? In: Fisher, DG (ed.) Robotics: new research. New York: Nova Science Publishers, 2016, pp.123–69.
16. Manna, SK, Dubey, VN. A novel hardware approach to integrating active and passive rehabilitation in a single exoskeleton. In: International symposium on medical robotics, Atlanta, GA, 1–3 March 2018, pp.1–6. New York: IEEE.

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This output is REF Open Access compliant through another HEI: http://eprints.bournemouth.ac.uk/32237/

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