Analysis of lower back pain disorder using deep learning

14th International Conference on Science, Engineering and Technology

自然科学;工业技术

Kulkarni, K. Ritwik^1 ; Gaonkar, Abhijitsingh^1 ; Vijayarajan, V.^1 ; Manikandan, K.^1

School of Computer Science and Engineering, VIT University, Vellore

632014, India^1

关键词: Classification methodologies;    Interconnected network;    Learning techniques;    Lower back pain;    Lumbar spines;    Preventive measures;    Rheumatoid arthritis;    Spinal cords;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/263/4/042086/pdf
DOI  :  10.1088/1757-899X/263/4/042086

来源: IOP

【 摘 要 】

Lower back pain (LBP) is caused because of assorted reasons involving body parts such as the interconnected network of spinal cord, nerves, bones, discs or tendons in the lumbar spine. LBP is pain, muscle pressure, or stiffness localized underneath the costal edge or more the substandard gluteal folds, with or without leg torment for the most part sciatica, and is characterized as endless when it holds on for 12 weeks or more then again, non-particular LBP is torment not credited to an unmistakable pathology such as infection, tumour, osteoporosis, rheumatoid arthritis, fracture, or inflammation. Over 70% of people usually suffer from such backpain disorder at some time. But recovery is not always favorable, 82% of non-recent-onset patients still experience pain 1 year later. Even though not having any history of lower back pain, many patients suffering from this disorder spend months or years healing from it. Hence aiming to look for preventive measure rather than curative, this study suggests a classification methodology for Chronic LBP disorder using Deep Learning techniques.