Abstract
Measuring the quality of movement is a need and a challenge for clinicians. Jerk, defined as the quantity of acceleration variation, is a kinematic parameter used to assess the smoothness of movement. We aimed to assess and compare jerk metrics in asymptomatic participants for 3 important movement characteristics that are considered by clinicians during shoulder examination: dominant and non-dominant side, concentric and eccentric contraction mode, and arm elevation plane. In this pilot study, we measured jerk metrics by using Xsens® inertial measurement units strapped to the wrists for 11 different active arm movements (ascending and lowering phases): 3 bilateral maximal arm elevations in sagittal, scapular and frontal plane; 2 unilateral functional movements (hair combing and low back washing); and 2 unilateral maximal arm elevations in sagittal and scapular plane, performed with both arms alternately, right arm first. Each arm movement was repeated 3 times successively and the whole procedure was performed 3 times on different days. The recorded time series was segmented with semi-supervised algorithms. Comparisons involved the Wilcoxon signed rank test (p < 0.05) with Bonferroni correction. We included 30 right-handed asymptomatic individuals [17 men, mean (SD) age 31.9 (11.4) years]. Right jerk was significantly less than left jerk for bilateral arm elevations in all planes (all p < 0.05) and for functional movement (p < 0.05). Jerk was significantly reduced during the concentric (ascending) phase than eccentric (lowering) phase for bilateral and unilateral right and left arm elevations in all planes (all p < 0.05). Jerk during bilateral arm elevation was significantly reduced in the sagittal and scapular planes versus the frontal plane (both p < 0.01) and in the sagittal versus scapular plane (p < 0.05). Jerk during unilateral left arm elevation was significantly reduced in the sagittal versus scapular plane (p < 0.05). Jerk metrics did not differ between sagittal and scapular unilateral right arm elevation. Using inertial measurement units, jerk metrics can well describe differences between the dominant and non-dominant arm, concentric and eccentric modes and planes in arm elevation. Jerk metrics were reduced during arm movements performed with the dominant right arm during the concentric phase and in the sagittal plane. Using IMUs, jerk metrics are a promising method to assess the quality of basic shoulder movement.
Highlights
IntroductionThe upper limb is designed for basic (daily life activities) and specific human needs related to relational life, sports and art (Doorenbosch et al, 2003; Dufour, 2005)
inertial measurement units (IMUs) use a combination of accelerometer, gyrometer, and magnetometer sensors combined with sensor-fusion algorithms to measure the 3D orientation of the system of reference and estimate joint kinematics with accuracy (Zhu and Zhou, 2004; De Baets et al, 2017)
The intra-session trial-to-trial repeatability of the jerk metrics was good to excellent for analytic arm movements and excellent for functional movements, which shows that the smoothness of successive movements was repeatable
Summary
The upper limb is designed for basic (daily life activities) and specific human needs related to relational life, sports and art (Doorenbosch et al, 2003; Dufour, 2005). Because of the wide diversity and large range of motion (RoM) of arm movements, their assessment is challenging, notably in routine clinical examination (Rau et al, 2000; Caimmi et al, 2015). Clinicians need accurate, reliable and available information on arm position and RoM to assess movement related impairments, choose an intervention, evaluate its efficacy and monitor the follow-up of patients (Skirven et al, 2011; Braito et al, 2018). This measurement is challenging because it involves both quantitative (mobility, muscular strength and endurance) and qualitative (precision and smoothness) abilities and stretches the limits of classical clinical tests (Skirven et al, 2011; Braito et al, 2018). IMUs are increasingly being used for assessing arm movement and for arm rehabilitation (Wang et al, 2017)
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