Title :
Diagnosis parameters used in treatment prediction of the lumbar spine
Author :
Diana, Andrei ; Dan, Nemes ; Toth-Tascau, Mirela ; Stoia, Dan Ioan
Author_Institution :
Univ. of Med. & Pharmacy Victor Babes, Timisoara, Romania
Abstract :
The paper proposes to define three parameters that can be associated with lumbar spine diagnosis. These parameters will further be used in a prediction software that aims to establish a treatment indication in the early stages of the medical exploration. These parameters quantifies very different conditions of the patient: pain - a very subjective parameter; the calories consumed in one day - measurable value; biomechanical parameters like range of motion in lumbar spine and postural angle - measurable parameter. These parameters have to be interconnected and therefore recordings before and after surgery and treatment have to be made. The interconnection of those represents a challenging task that requires a large patient´s database from which the statistics can be computed. Another cornerstone in interconnection is the lake of biomechanical statistics on the lumbar spine pathologies.
Keywords :
medical diagnostic computing; patient diagnosis; biomechanical parameter; biomechanical statistics; lumbar spine diagnosis parameters; lumbar spine pathology; lumbar spine treatment prediction; measurable parameter; measurable value parameter; medical exploration; pain parameter; prediction software; Back; Biomechanics; Diseases; Medical diagnostic imaging; Pain; Spine; Surgery; diagnosis parameters; low back pain; parameter interconnection; prediction;
Conference_Titel :
Applied Computational Intelligence and Informatics (SACI), 2013 IEEE 8th International Symposium on
Conference_Location :
Timisoara
Print_ISBN :
978-1-4673-6397-6
DOI :
10.1109/SACI.2013.6608968