Open Access
ARTICLE
Self-Management of Low Back Pain Using Neural Network
Purushottam Sharma1, Mohammed Alshehri2,*, Richa Sharma1, Osama Alfarraj3
1 ASET, Amity University Uttar Pradesh, Noida, 201301, India
2 Department of Information Technology, College of Computer and Information Sciences, Majmaah University, Majmaah, 11952, Saudi Arabia
3 Computer Science Department, Community College, King Saud University, Riyadh, Saudi Arabia
* Corresponding Author: Mohammed Alshehri. Email:
Computers, Materials & Continua 2021, 66(1), 885-901. https://doi.org/10.32604/cmc.2020.012251
Received 22 June 2020; Accepted 10 September 2020; Issue published 30 October 2020
Abstract
Low back pain (LBP) is a morbid condition that has afflicted several
citizens in Europe. It has negatively impacted the European economy due to several man-days lost, with bed rest and forced inactivity being the usual LBP care
and management steps. Direct models, which incorporate various regression analyses, have been executed for the investigation of this premise due to the simplicity of translation. However, such straight models fail to completely consider the
impact of association brought about by a mix of nonlinear connections and autonomous factors.In this paper, we discuss a system that aids decision-making
regarding the best-suited support system for LBP, allowing the individual to avail
of reinforcement and improvement in its self-management. These activities are
monitored with the help of a wearable sensor that helps in their detection and their
classification as those that soothe or aggravate LBP and hence, should or should
not be performed. This system helps the patients set their own boundaries and
milestones with respect to suitable activities. This system also does windowing
and feature extraction. The present study is an empirical and comparative analysis
of the most suitable activities that patients suffering from low back pain can
select. The evaluation shows that the system can distinguish between nine common daily activities effectively and helps self-monitor these activities for the effi-
cient management of LBP.
Keywords
Cite This Article
APA Style
Sharma, P., Alshehri, M., Sharma, R., Alfarraj, O. (2021). Self-management of low back pain using neural network. Computers, Materials & Continua, 66(1), 885-901. https://doi.org/10.32604/cmc.2020.012251
Vancouver Style
Sharma P, Alshehri M, Sharma R, Alfarraj O. Self-management of low back pain using neural network. Comput Mater Contin. 2021;66(1):885-901 https://doi.org/10.32604/cmc.2020.012251
IEEE Style
P. Sharma, M. Alshehri, R. Sharma, and O. Alfarraj "Self-Management of Low Back Pain Using Neural Network," Comput. Mater. Contin., vol. 66, no. 1, pp. 885-901. 2021. https://doi.org/10.32604/cmc.2020.012251
Citations