Comparative assessment of dynamic motor abilities in patients with neurological disorders during straight, curved and blindfolded paths: an instrumented approach
Introduction
Neurological disorders such as stroke, Parkinson’s disease (PD), and traumatic brain injury (TBI) are often associated with balance and gait disorders that lead to an increased risk of falling [ 1-3 ]. In the last decades, wearable sensor-based technologies have been used, to objectively quantify different gait domains (i.e., stability, symmetry, and smoothness) [ 4-8 ]. Several studies reported the usefulness of the sensors-based in characterizing dynamic motor abilities impairments in patients with neurological disorders. [ 9 ]. Therefore, this study aims to quantify dynamic stability through straight, curved, and blindfolded paths of people particularly exposed to the risk of falling to support the implementation of personalized rehabilitation training and the evaluation of the effectiveness of neurorehabilitation treatments.
Methods
Sixty patients with neurological disorders (20 people with TBI (PwTBI) (7 F; 37.1±14.42; y); 20 stroke survivors (PwS) (6 F; 59.55±12.86 y) in sub-acute phase, 20 patients with PD (PwPD) (8 F; 69.15±7.55 y) and 20 healthy participants (9F; 37.35±13.94 y) were involved in the study. Gait and balance evaluations were performed with both clinical and IMU-based assessments. Participants were equipped with five synchronized inertial measurement units All participants were asked to perform three different motor tasks in a randomized order: the 10-Meter-Walk Test (10MWT) (Figure 3-a), the Figure-of-8-Walk Test (Fo8WT) (Figure 3-b), and the Fukuda-Stepping Test (FST) (Figure 3-c). A set of spatiotemporal and gait quality parameters describing stability, symmetry, and smoothness of gait were computed in all directions.
Results
The IMU-based assessment revealed significant differences during linear, curved, and blindfolded walking among PwTBI, PwPD and PwS as well as in the comparison between the control group. Focusing on the former, PwS showed significantly less symmetry and less smoothness (p < 0.017) than both groups PwTBI and PwPD during all dynamic tasks.
Moreover, significant results emerged for the stability domain (p < 0.017) where accelerations were higher in PwS than in PwTBI and PwPD, highlighting the fact that stroke patients suffer of reduced stability. Interestingly, significant differences emerge between PwTBI and PwPD, where PwTBI demonstrates lower stride frequency and higher nRMS (AP) during the execution of the straight walk task. In addition, from the results it is possible to see significantly lower LDLJv (AP) values (p < 0.017) of PwTBI compared to PwPD, highlighting a less smooth path in both the straight and curvilinear tasks.
Discussion and Conclusion
The use of IMU-based assessments allowed for objective and quantitative measurements of gait symmetry, postural stability, and smoothness during straight, curved, and blindfolded walking tasks. PwS shows the least symmetry and smoothness during all dynamic tasks compared to PwTBI and PwPD, probably due to the typical hemiparetic asymmetrical gait. Furthermore, these gait impairments could support also the instability significantly higher in PwS compared to the other two groups. Our results can inform the development of personalized rehabilitation programs and interventions to improve the dynamic postural stability and gait characteristics of patients with neurological disorders. Further research and clinical implementation of such assessments could lead to better outcomes and enhanced quality of life for individuals affected by these conditions.
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