期刊
SYMMETRY-BASEL
卷 13, 期 12, 页码 -出版社
MDPI
DOI: 10.3390/sym13122237
关键词
standing posture; gait analysis; multi-segment spine model; 3D kinematics; spatio-temporal parameters; Parkinson's disease; Pisa syndrome
The study evaluated the biomechanical analysis of Pisa syndrome, finding significant lateral bending of the trunk in patients, influencing ground reaction forces and limb movements, with differences in proprioception and correction abilities among patients.
Pisa syndrome is one of the possible postural deformities associated with Parkinson's disease and it is clinically defined as a sustained lateral bending of the trunk. Some previous studies proposed clinical and biomechanical investigation to understand the pathophysiological mechanisms that occur, mainly focusing on EMG patterns and clinics. The current research deals with the assessment of a standardized biomechanical analysis to investigate the Pisa syndrome postural effects. Eight patients participated in the experimental test. Both static posture and gait trials were performed. An optoelectronic system and two force plates were used for data acquisition, while a custom multi-segments kinematic model of the human spine was used to evaluate the 3D angles. All subjects showed an important flexion of the trunk superior segment with respect to the inferior one, with a strong variability among patients (range values between 4.3 degrees and 41.0 degrees). Kinematics, ground reaction forces and spatio-temporal parameters are influenced by the asymmetrical trunk posture. Moreover, different proprioception, compensation and abilities of correction were depicted among subjects. Considering the forces exchanged by the feet with the floor during standing, results highlighted a significant asymmetry (p-value = 0.02) between the omo and contralateral side in a normal static posture, with greater load distribution on the same side of lateral deviation. When asked to self-correct the posture, all patients demonstrated a reduction of asymmetry, but without stressing any statistical significance. All these aspects might be crucial for the definition of a PS patients' classification and for the assessment of the efficacy of treatments and rehabilitation.
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