Volume 12, Issue 5

Robotic Rehabilitation in Stroke conditions: Concepts and Contexts – A Review

Author

Kervella GL1, Dumlao BJ1, Soria MJ1, Bañares N1, Tesoro FM1

Abstract

Purpose: The purpose of this study is to examine the two forms of robotic rehabilitation (exoskeletal and end-effector), the procedures used in rehabilitation, and the benefits for post-stroke patients.
Method: Articles from various journals in PubMed were extensively reviewed in a methodical manner. The data collection and gathering took place on February 14-15, 2023. The topics examined were primarily concerned with robotics and its application in the therapeutic rehabilitation of stroke patients, with a particular emphasis on task-oriented training of the upper and lower extremities for motor function improvement and exoskeletal instruments as guidance for initiating movements. Exoskeletal and end effector robots were used in three methods: average, full, and equilibrium.
Results: Exoskeletal RTT and End-effector RTT were discovered to be useful in the restoration of therapeutic or functional ambulatory capacity in post-stroke patients. The usage of robotics has resulted in greater trunk control, an improvement in the sleep-wake rhythm, a reduction in perceived exhaustion while performing daily living tasks, pain relief, and an increase in mental health.
Conclusion: This article review reveals that the introduction of robotic therapy into standard treatment regimens appears to be the future of stroke rehabilitation. Using tailored gait assistance during rehabilitation walking training for hemiplegic stroke patients can significantly boost energy efficiency. In individuals identified with stroke within six months, robot-assisted therapy resulted in functional and disability improvements comparable to, but not significantly superior to, standard care.

DOI

https://doi.org/10.62226/ijarst20230541

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Kervella GL1, Dumlao BJ1, Soria MJ1, Bañares N1, Tesoro FM1 | Robotic Rehabilitation in Stroke conditions: Concepts and Contexts – A Review | DOI : https://doi.org/10.62226/ijarst20230541

Journal Frequency: ISSN 2320-1126, Monthly
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Acceptance Notification: Within 6 days
Subject Areas: Engineering, Science & Technology
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