Abstract
There is increasing interest in using robotic devices to assist in improving motor function for stroke patients. Rehabilitation evaluation during the motor rehabilitation process plays a crucial role in instructing robotic or manual therapy. Rehabilitation therapists can take some measure in assessing stiffness or motion range of the patient’s joints, but it is difficult for them to evaluate quantitatively and objectively. Furthermore few wearable robotic devices are reported for evaluating the recovery conditions of the patient’s hand internal muscles. The development of a pneumatic muscle (PM)-driven quantitative muscle rehabilitation evaluation robotic hand device serves this role. On account of the variance of the patient’s muscle recovery active forces and the complex nonlinear dynamics of PMs, the device becomes difficult to control. This paper presents a kind of feasible control strategy applied to this device.
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
Similar content being viewed by others
References
Lo AC, Guarino PD et al (2010) Robot-assisted therapy for long-term upper-limb impairment after stroke. N Engl J Med 362(19):1772–1783
Krebs H, Palazzolo J et al (2003) Rehabilitation robotics: performance-based progressive robot-assisted therapy. Auton Robots 15(1):7–20
Volpe BT, Lynch D et al (2008) Intensive sensorimotor arm training mediated by therapist or robot improves hemiparesis in patients with chronic stroke. Neurorehabil Neural Repair 22(3):305
Zollo L, Rossini L et al (2011) Quantitative evaluation of upper-limb motor control in robot-aided rehabilitation. Med Biol Eng Comput 49:1131–1144
Pisano F, Miscio G et al (1996) Quantitative evaluation of normal muscle tone. J Neurol Sci 135(2):168–172
Colombo R, Pisano F et al (2005) Robotic techniques for upper limb evaluation and rehabilitation of stroke patients. IEEE Trans Neural Syst Rehabil Eng 13(3):311–324
Ohata K, Tsuboyama T et al (2006) Measurement of muscle thickness as quantitative muscle evaluation for adults with severe cerebral palsy. Phys Ther 86(9):1231
Rijntjes M, Haevernick K et al (2009) Repeat therapy for chronic motor stroke: a pilot study for feasibility and efficacy. Neurorehabil Neural Repair 23(3):275
Timmermans AAA, Spooren AIF et al (2010) Influence of task-oriented training content on skilled arm-hand performance in stroke: a systematic review. Neurorehabil Neural Repair 24(9):858
Delp SL, Anderson FC et al (2007) OpenSim: open-source software to create and analyze dynamic simulations of movement. IEEE Trans Biomed Eng 54(11):1940–1950
Zajac FE (1989) Muscle and tendon: properties, models, scaling, and application to biomechanics and motor control. Critical Reviews Biomed Eng 17(4):359
Acknowledgment
This work is partially supported by Stroke Clinic at Miaoling Town, Ezhou City, Hubei Province, China.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag London Limited
About this paper
Cite this paper
Tu, X., Yu, L., He, J. (2012). Design of a Wearable Quantitative Muscle Rehabilitation Evaluation Robotic Hand Device. In: Wang, X., Wang, F., Zhong, S. (eds) Electrical, Information Engineering and Mechatronics 2011. Lecture Notes in Electrical Engineering, vol 138. Springer, London. https://doi.org/10.1007/978-1-4471-2467-2_208
Download citation
DOI: https://doi.org/10.1007/978-1-4471-2467-2_208
Published:
Publisher Name: Springer, London
Print ISBN: 978-1-4471-2466-5
Online ISBN: 978-1-4471-2467-2
eBook Packages: EngineeringEngineering (R0)