Artificial Intelligence of Patients Management for Injured Patient and Robotic assisted Physiotherapy Rehabilitation-Reference-Cited by-同舟云学术

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Artificial Intelligence of Patients Management for Injured Patient and Robotic assisted Physiotherapy Rehabilitation

Published:2024-03-01 Issue: Volume: Page:1-5
ISSN:
Container-title:2024 3rd International Conference for Innovation in Technology (INOCON)
language:
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Author:

Pa Padmaavathy.¹,Thilagavathi J²,Selvi K.³,Ramachandran G.⁴,Kumar G. Suresh⁴,Lokeswar Reddy D. V.⁵,Febiyola Justin B V.⁶

Affiliation:

1. Karpagam Academy of Higher Education,Department of Management,Coimbatore

2. Arjun College of Technology,Department of AI & DS,Coimbatore

3. S.A.Engineering College (Autonomous),Department of Management Studies,Chennai,77

4. Vinayaka Mission’s Research Foundation (Deemed to be University),ECE, Vinayaka Mission’s Kirupananda Variyar Engineering College,Salem

5. JNTU College Of Engineering, Pulivendula,Humanities and Social Sciences Department,Kadapa (D),Andhra Pradesh,India,516390

6. St. Peter's Institute of Higher Education and Research,Department of Biochemistry,Avadi, Chennai,600054

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10511271/10511093/10511878.pdf?arnumber=10511878

Reference15 articles.

1. Rehabilitation following shoulder arthroplasty: a survey of current clinical practice patterns of Italian physiotherapists

2. Novel Engineering of Smart Electronic Wheelchair with Physiotherapy Treatment Compatibility

3. Posture Monitoring Apparatus For Physiotherapy

4. Kirigami-shaped Dual-functional Strain and Temperature Sensors for Monitoring Body Movements and Hyperthermia Toward Physiotherapy Applications

5. Optimal Sensor Set for Decoding Motor Imagery from EEG

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