System Framework of Robotics in Upper Limb Rehabilitation on Poststroke Motor Recovery

Joint Authors

Wang, Jing
Zhang, Kai
Chen, Xiaofeng
Liu, Fei
Tang, Haili
Wen, Weina

Source

Behavioural Neurology

Issue

Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-14, 14 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2018-12-13

Country of Publication

Egypt

No. of Pages

14

Main Subjects

Biology
Medicine

Abstract EN

Neurological impairments such as stroke cause damage to the functional mobility of survivors and affect their ability to perform activities of daily living.

Recently, robotic treatment for upper limb stroke rehabilitation has received significant attention because it can provide high-intensity and repetitive movement therapy.

In this review, the current status of upper limb rehabilitation robots is explored.

Firstly, an overview of mechanical design of robotics for upper-limb rehabilitation and clinical effects of part robots are provided.

Then, the comparisons of human-machine interactions, control strategies, driving modes, and training modes are described.

Finally, the development and the possible future directions of the upper limb rehabilitation robot are discussed.

American Psychological Association (APA)

Zhang, Kai& Chen, Xiaofeng& Liu, Fei& Tang, Haili& Wang, Jing& Wen, Weina. 2018. System Framework of Robotics in Upper Limb Rehabilitation on Poststroke Motor Recovery. Behavioural Neurology،Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1130298

Modern Language Association (MLA)

Zhang, Kai…[et al.]. System Framework of Robotics in Upper Limb Rehabilitation on Poststroke Motor Recovery. Behavioural Neurology No. 2018 (2018), pp.1-14.
https://search.emarefa.net/detail/BIM-1130298

American Medical Association (AMA)

Zhang, Kai& Chen, Xiaofeng& Liu, Fei& Tang, Haili& Wang, Jing& Wen, Weina. System Framework of Robotics in Upper Limb Rehabilitation on Poststroke Motor Recovery. Behavioural Neurology. 2018. Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1130298

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1130298