Kinematic movement and balance parameter analysis in neurological gait disorders

• Published in: Journal of biological engineering 2024-01, Vol.18 (1), p.6-6, Article 6
• Main Authors: Na, Chuh-Hyoun, Siebers, Hannah Lena, Reim, Julia, Eschweiler, Jörg, Hildebrand, Frank, Clusmann, Hans, Betsch, Marcel
• Format: Article
• Language: English
• Subjects: Ankle; Balance; Calibration; Central nervous system diseases; Comparative analysis; Dementia; Diagnosis; Disorders; Force distribution; Gait; Gait analysis; Gait disorders; Health care; Hip; Hydrocephalus; IMU; Kinematics; Measurement techniques; Measuring instruments; Neurological diseases; Parameters; Patients; Pedobarography; Spinal cord; Stenosis; Variance analysis; Walking
• ISSN: 1754-1611; 1754-1611
• DOI: 10.1186/s13036-023-00398-w

Neurological gait disorders are mainly classified based on clinical observation, and therefore difficult to objectify or quantify. Movement analysis systems provide objective parameters, which may increase diagnostic accuracy and may aid in monitoring the disease course. Despite the increasing wealth of kinematic movement and balance parameter data, the discriminative value for the differentiation of neurological gait disorders is still unclear. We hypothesized that kinematic motion and balance parameter metrics would be differently altered across neurological gait disorders when compared to healthy controls. Thirty one patients (9 normal pressure hydrocephalus  , 16 cervical myelopathy  , 6 lumbar stenosis ) and 14 healthy participants were investigated preoperatively in an outpatient setting using an inertial measurement system (MyoMotion) during 3 different walking tasks (normal walking, dual-task walking with simultaneous backward counting, fast walking). In addition, the natural postural sway of participants was measured by pedobarography, with the eyes opened and closed. The range of motion (ROM) in different joint angles, stride time, as well as sway were compared between different groups (between-subject factor), and different task conditions (within-subject factor) by a mixed model ANOVA. Kinematic metrics and balance parameters were differently altered across different gait disorders compared to healthy controls. Overall, NPH patients significantly differed from controls in all movement parameters except for stride time, while they differed in balance parameters only with regard to AP movement. LST patients had significantly reduced ROMs of the shoulders, hips, and ankles, with significantly altered balance parameters regarding AP movement and passed center-of-pressure (COP) distance. CM patients differed from controls only in the ROM of the hip and ankle, but were affected in nearly all balance parameters, except for force distribution. The application of inertial measurement systems and pedobarography is feasible in an outpatient setting in patients with different neurological gait disorders. Rather than defining singular discriminative values, kinematic gait and balance metrics may provide characteristic profiles of movement parameter alterations in the sense of specific ´gait signatures´ for different pathologies, which could improve diagnostic accuracy by defining objective and quantifiable measures for the discrimination