Machine learning based Development and Evaluation of a Hand Exoskeleton Rehabilitation Robot for Patients with Partial Paralysis-Reference-Cited by-同舟云学术

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Machine learning based Development and Evaluation of a Hand Exoskeleton Rehabilitation Robot for Patients with Partial Paralysis

Published:2024-03-15 Issue: Volume: Page:418-423
ISSN:
Container-title:2024 2nd International Conference on Disruptive Technologies (ICDT)
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Author:

Singh Durgesh Kumar¹,Srivastava Anand Prakash²,Singh Shivanshu¹,Paliwal Sanjay³,Singh Anupam⁴,Singh Jagendra⁵

Affiliation:

1. Hi-Tech Institute of Engineering & Technology,Mechanical Engineering Department,Ghaziabad,India

2. NITRA Technical Campus,Department of Computer Science,Ghaziabad,India

3. R D Engineering College,Mechanical Engineering Department,Ghaziabad,India

4. Graphic Era Hill University,Department of Computer Science and Engineering,Dehradun,India

5. School of Computer Science Engineering and Technology, Bennett University,Greater Noida,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10488912/10488915/10489600.pdf?arnumber=10489600

Reference15 articles.

1. Why we should systematically assess, control and report somatosensory impairments in BCI-based motor rehabilitation after stroke studies

2. Increasing motivation in robot-aided arm rehabilitation with competitive and cooperative gameplay

3. Effect of visual distraction and auditory feedback on patient effort during robot-assisted movement training after stroke

4. Reliable and valid robot-assisted assessments of hand proprioceptive, motor and sensorimotor impairments after stroke

5. A robot-based behavioural task to quantify impairments in rapid motor decisions and actions after stroke

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