Gait variability and symmetry assessment with inertial sensors for quantitative discrimination of Trendelenburg sign in total hip arthroplasty patients: a pilot study based on convenience sampling

Abstract

Introduction: The aim of this pilot study based on convenience sampling was to analyze the feasibility to quantitatively discriminate Trendelenburg sign (TS), a characteristic drop in pelvic position during gait in hip disfunctions, in patients with total hip arthroplasty (THA), by assessing gait variability and symmetry using inertial sensors. Methods: Thirteen patients with right THA, divided into two groups with (GTS, n=4) and without TS (GnTS, n=9) assessed by experienced physician, were enrolled in the study. Harris Hip Score was applied for specific evaluation of THA. The protocol consisted in walking on a level treadmill during 3 minutes with two inertial sensors attached at anterior superior iliac spine of both sides. For each left and right step, features were extracted from the Y-axis gyroscope signals: peak value, mean absolute value, standard deviation and range. For each feature, a symmetry ratio was calculated as the ratio between left and right side. Results: No significant differences were found in Harris Hip Score between groups. The variability assessed by standard deviation for left step, contralateral to the replaced side, was significantly larger for GTS group (p<0.001). Significant differences in the symmetry ratios were found between GTS and GnTS for all features extracted from gyroscopes Y-axis (W=144, p<0.001).The symmetry ratios for GnTS group were approximately equal one (except for range), whereas for the GTS group they exceed the 10% criterion. Conclusion: The variability and symmetry ratios of gait features extracted from inertial sensors were successful to discriminate TS in THA patients.

Towards an Inertial Sensor-Based Wearable Feedback System for Patients after Total Hip Arthroplasty: Validity and Applicability for Gait Classification with Gait Kinematics-Based Features

“…The sagittal hip joint angle was further described as an important measure in patients with THA by several other authors [2,4,5,6,10,11]. Gait speed [4,8,10], maximum hip extension [2,5,6,10], maximum hip flexion [3], pelvis transversal as well as sagittal [2] and frontal [42,43] ROM, stride length [10], stride time and cadence [9] were identified as further measures of interest regarding patients after THA.…”

Uso de sensores inerciales en fisioterapia: Una aproximación a procesos de evaluación del movimiento humano

“…Los IMU han apoyado diversos procesos evaluativos, permitiendo analizar el control postural (31) , estabilidad de la columna vertebral (27) , rangos de movimiento articular (7) en miembros superiores (45) e inferiores y la ejecución de patrones de movimiento como, realizar una estocada, correr (32,33) , ascender y descender escaleras, marchar sobre superficie inclinada, declinada y nivelada (46) , y en comparación con softwares de análisis de movimiento optoelectrónicos mostraron una buena correlación, resaltando su precisión y bajo costo (34,7,14,33,46) lo cual perfila a estos dispositivos como una alternativa efectiva.…”

“…Lee, et al, 2010 (9) Bötzel, et al, 2018 (10) Li, et al, 2018 (11) Proessl, et al, 2018 (12) Tereso A., et al, 2015 (13) Ferreira CVL., et al, 2018 (14) Evaluar la variables bajo el agua (9) de la marcha (10)(11) en pruebas como la caminata de 6 minutos (12) y en artroplastias de rodilla y cadera (13)(14) .…”

Inertial Sensors for Hip Arthroplasty Rehabilitation: A Scoping Review

“…Figure 4 presents the layout o some of the methods identified in this systematic review. [8]; (b) the use of SVM [9] and gait pattern de tection [10]; (c) used to assess hip implant force and angle [11]; (d) used with sound feedback on gait; [12]; (e) optical motion analysis [13].…”

“…The study [12] uses a system similar to that of Figure 3b; the system is based on de termining the moment of contact with the ground and the inclination of the knee. This system measures the gait time and thus generates sounds that will be fed back to the [8]; (b) the use of SVM [9] and gait pattern detection [10]; (c) used to assess hip implant force and angle [11]; (d) used with sound feedback on gait; [12]; (e) optical motion analysis [13].…”