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A practical sensor-based methodology for the quantitative assessment and classification of chronic non specific low back patients (NSLBP) in clinical settings
, Article Sensors (Switzerland) ; Volume 20, Issue 10 , 2020 ; Shokouhyan, S. M ; Abedi, M ; Meftahi, N ; Rahimi, A ; Rashedi, E ; Hoviattalab, M ; Narimani, R ; Parnianpour, M ; Khalaf, K ; Sharif University of Technology
MDPI AG
2020
Abstract
The successful clinical application of patient-specific personalized medicine for the management of low back patients remains elusive. This study aimed to classify chronic nonspecific low back pain (NSLBP) patients using our previously developed and validated wearable inertial sensor (SHARIF-HMIS) for the assessment of trunk kinematic parameters. One hundred NSLBP patients consented to perform repetitive flexural movements in five different planes of motion (PLM): 0◦ in the sagittal plane, as well as 15◦ and 30◦ lateral rotation to the right and left, respectively. They were divided into three subgroups based on the STarT Back Screening Tool. The sensor was placed on the trunk of each...