Document Type
Thesis
Date of Award
Fall 1-31-2011
Degree Name
Master of Science in Biomedical Engineering - (M.S.)
Department
Biomedical Engineering
First Advisor
Hans Raj Chaudhry
Second Advisor
Thomas W. Findley
Third Advisor
William C. Van Buskirk
Fourth Advisor
Sunil Saigal
Fifth Advisor
Max Roman
Abstract
This study aims to quantitatively evaluate the low back condition so that low back dysfunction can be identified and classified when measurements show a variance from the normal. The evaluation is done by using the hysteresis concept. In this study, subjects received two different types of treatment: massaging using a mechanical massager for ten minutes and manual massaging by a professional physician. Using the Automated Anatomic Torsion Monitor (A-ATM), the low back of the subject was evaluated before and after treatment. The change in Hysteresis Loop Area (HLA) was -12.5% for mechanical massaging and -15.7% for manual massaging. The negative sign indicates improvement due to the treatments.
This study also theoretically measured the stiffness of the low back due to these treatments to see their effect before and after treatment.
In addition, this research also provides mathematical modeling of the preventive measures for low back pain, such as finding the reactive force at the fifth lumbar vertebra (L5) versus the inclination of the back from the vertical. Also, the ideal position of the cushion support while sitting on the chair is investigated.
Recommended Citation
Atalla, Nadi, "Non-invasive interventions top reduce low back dysfunction" (2011). Theses. 77.
https://digitalcommons.njit.edu/theses/77
