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Non-invasive interventions top reduce low back dysfunction

Abstract

dc:description.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.

Degree

thesis:*
Name thesis:degree_name
Master of Science in Biomedical Engineering - (M.S.)
Discipline thesis:degree_discipline
Biomedical Engineering
Year
2011

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Atalla, Nadi
Contributors dc:contributor
  • Hans Raj Chaudhry
  • Thomas W. Findley
  • William C. Van Buskirk

Subjects

dc:subject × 4

Identifiers

dc:identifier.*
Repository record dc:identifier
https://digitalcommons.njit.edu/theses/77
OAI identifier oai:identifier
oai:digitalcommons.njit.edu:theses-1076

Chain of custody

source
Harvested from
NJIT
Base URL
digitalcommons.njit.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Atalla, Nadi. Non-invasive interventions top reduce low back dysfunction. 2011. https://digitalcommons.njit.edu/theses/77