Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024)

Comparison of Neurodynamic Sliding Versus Bowen Technique for Hamstring Tightness Among College Students Using Kemtai (AI)

Authors
M. R. Sikkandar Badusha1, M. Kamalakannan2, *, Mugilan Balaji3
1Post Graduate Student, Department of Physiotherapy, Saveetha College of Physiotherapy, Saveetha Nagar, Chennai, Tamil Nadu, India
2Professor, Department of Physiotherapy, Saveetha College of Physiotherapy, Saveetha Nagar, Chennai, Tamil Nadu, India
3Tutor, Department of Physiotherapy, Saveetha College of Physiotherapy, Chennai, Tamil Nadu, India
*Corresponding author. Email: kamal1712@gmail.com
Corresponding Author
M. Kamalakannan
Available Online 23 May 2025.
DOI
10.2991/978-94-6463-718-2_30How to use a DOI?
Keywords
Hamstring tightness; Neurodynamic sliding; Bowen technique
Abstract

One common musculoskeletal problem is tight hamstrings, which can reduce flexibility, raise the risk of injury, and impair performance in general. College students are particularly prone to hamstring tightness, especially if they lead sedentary lifestyles or participate in sports. Static stretching has historically served as the foundation of hamstring lengthening regimens. An innovative tool for clinical practice and functional assessment is the KEMTAI software system, which tracks and analyses human movement using a camera. The objective of this study was to evaluate neurodynamic sliding and Bowen technique for hamstring tightness among college students using KEMTAI software and VISA-H Questionaries. The study will be carried out at Saveetha medical college and hospital. Based on the inclusion and exclusion criteria, 40 people in total will be chosen for the study. the researcher will give the subjects an explanation of the study before starting. Following a pre-assessment the participants will be divided into groups at random using the lottery method. Experimental group will receive neurodynamic sliding and conventional group will receive Bowen technique for hamstring, given for 4 weeks, 3 sessions per week and 30 minutes to 40 minutes per session. The pre- and post-assessment will be done using KEMTAI software and VISA-H Questionaries. It discovered that experimental group is more effective than the control group on the hamstring tightness among college students. Based on the statistical data analysis. The study found that for college students with hamstring tightness, neurodynamic sliding is more beneficial than the Bowen approach.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024)
Series
Advances in Computer Science Research
Publication Date
23 May 2025
ISBN
978-94-6463-718-2
ISSN
2352-538X
DOI
10.2991/978-94-6463-718-2_30How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - M. R. Sikkandar Badusha
AU  - M. Kamalakannan
AU  - Mugilan Balaji
PY  - 2025
DA  - 2025/05/23
TI  - Comparison of Neurodynamic Sliding Versus Bowen Technique for Hamstring Tightness Among College Students Using Kemtai (AI)
BT  - Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024)
PB  - Atlantis Press
SP  - 346
EP  - 354
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-718-2_30
DO  - 10.2991/978-94-6463-718-2_30
ID  - Badusha2025
ER  -