Alteration of movement patterns in low back pain assessed by Statistical Parametric Mapping

Autor: Enrica Papi, Alison H. McGregor, Anthony M. J. Bull
Přispěvatelé: University Of Southampton
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Male
Technology
Kinematics
MOTION
Knee Joint
Computer science
1106 Human Movement and Sports Sciences
02 engineering and technology
Walking
Engineering
0302 clinical medicine
0903 Biomedical Engineering
Orthopedics and Sports Medicine
Range of motion
SPINAL KINEMATICS
Movement (music)
Rehabilitation
Low back pain
Biomechanical Phenomena
Female
medicine.symptom
Life Sciences & Biomedicine
0913 Mechanical Engineering
musculoskeletal diseases
Adult
medicine.medical_specialty
LUMBAR SPINE
Movement
0206 medical engineering
Biomedical Engineering
Biophysics
Time series analysis
JOINT COORDINATE SYSTEM
Statistical parametric mapping
Article
3D motion analysis
FORCE
03 medical and health sciences
Physical medicine and rehabilitation
Lumbar
PEOPLE
medicine
Humans
Time series
Engineering
Biomedical
Science & Technology
HIP
ADULTS
020601 biomedical engineering
Spine
Case-Control Studies
human activities
Low Back Pain
030217 neurology & neurosurgery
Zdroj: Journal of Biomechanics
ISSN: 1873-2380
0021-9290
Popis: Changes in movement pattern in low back pain (LBP) groups have been analysed by reporting predefined discrete variables. However, this approach does not consider the full kinematic data waveform and its dynamic information, potentially exposing the analysis to bias. Statistical Parametric Mapping (SPM) has been introduced and applied to 1 dimensional (D) kinematic variables allowing the assessment of data over time. The aims of this study were to assess differences in 3D kinematics patterns in people with and without LBP during functional tasks by using SPM and to investigate if SPM analysis was consistent with standard 3D range of motion (RoM) assessments. 3D joints kinematics of the spine and lower limbs were compared between 20 healthy controls and 20 participants with non-specific LBP during walking, sit-to-stand and lifting. SPM analysis showed significant differences in the 3Dkinematics of the lower thoracic segment, upper and lower lumbar segment and knee joint during walking and lifting mostly observed at the beginning and/or towards the end of the tasks. ROMs differed between groups in the lower thoracic segment (walking/sit-to-stand), upper and lower lumbar segments (walking/sit-to-stand/lifting), hip and knee (sit-to-stand/lifting). Based on these results, the two approaches can yield different data interpretations. SPM analysis allows the identification of differences in movement that occur over time. This adds value to LBP movement analysis as it allows an understanding of the LBP strategies adopted during motion that may not be conveyed by simple discrete parameters such as ROMs.
Databáze: OpenAIRE
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