Artificial machines training in the treatment of low back pain-review article

Low back pain (LBP) is the most common cause of disability world-wide. It is a complex and heterogeneous disorder and a prominent cause of Sickness absence from work in the working community. Because prevention is vital when dealing with a recurring sickness. Homes workouts are beneficial, but it is...

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Bibliographic Details
Main Authors: Bhagwat, Anushka, Wanjari, Mayuri, Jawade, Swapna
Format: Conference Proceeding
Language:English
Subjects:
Back pain
Electromagnetic fields
Illnesses
Machine learning
Pain
Online Access:Get full text
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Summary:Low back pain (LBP) is the most common cause of disability world-wide. It is a complex and heterogeneous disorder and a prominent cause of Sickness absence from work in the working community. Because prevention is vital when dealing with a recurring sickness. Homes workouts are beneficial, but it is difficult for doctors and therapist to monitor adherence and accurate execution of the exercises. If it has enough precision in evaluating adherence performance while offering patient counselling, Machine learning (ML) in treatment systems might be an alternative to telemonitoring for those with chronic LBP. The goal was to find and review papers that employed machine learning approaches to help persons with LBP. Matrix rhythm therapy and pulse electromagnetic field there. In the treatment of LBP a variety of treatment options are available there are APY also used to Low back pain Rehabilitation only a There are few published studies that demonstrate the efficacy of MRT in patients with persistent LBP. Electroacupuncture is used to reduce low back pain.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0240979