NDLI: Changes of Achilles tendon properties via 12-week PNF based robotic rehabilitation of ankle joints with spasticity and/or contracture

Content Provider	IEEE Xplore Digital Library
Author	Zhihao Zhou Yuan Zhou Ninghua Wang Fan Gao Long Wang Kunlin Wei Qining Wang
Copyright Year	2014
Description	Author affiliation: Dept. of Psychol., Peking Univ., Beijing, China (Kunlin Wei) \|\| Dept. of Rehabilitation Med., Peking Univ., Beijing, China (Yuan Zhou; Ninghua Wang) \|\| Dept. of Health Care Sci., Univ. of Texas, Dallas, TX, USA (Fan Gao) \|\| Intell. Control Lab., Peking Univ., Beijing, China (Zhihao Zhou; Long Wang; Qining Wang)
Abstract	Ankle joint with spasticity and/or contracture can severely affect mobility and independence of stroke survivors. Due to that, the Achilles tendon(AT) is affected. In this paper, we aim to study changes of AT properties via proprioceptive neuromuscular facilitation (PNF) treatment. A robotic ankle-foot rehabilitation system has been proposed, which consists of a robotic ankle-foot platform and a graphic user interface. In this pilot study, two post-stroke patients participated and carried out a 12-week PNF treatment with the robotic system. The treatment is evaluated quantitatively in AT properties. The evaluation shows that after the PNF treatment, the average decrease of AT length is 4.1 mm (6.5%) and the recovery ratio is 30.4%, while the thickness has no change. The results indicate that the PNF based robotic rehabilitation for ankle joints with spasticity and/or contracture is effective to improve the ankle spasticity/contracture.
Sponsorship	IEEE Eng. Med. Biol. Soc.
Starting Page	1214
Ending Page	1217
File Size	2462668
Page Count	4
File Format	PDF
ISBN	9781424479290
ISSN	1557170X
DOI	10.1109/EMBC.2014.6943815
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Muscles Joints Robots Ultrasonic variables measurement Tendons Training Electromyography
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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