Kinematic Gait Analysis Using Inertial Sensors with Subjects after Stroke in Two Different Arteries

Abstract

[Purpose] The aim of the present study was described the kinematic characteristics of gait in stroke patients with two different arteries involved. [Subjects and Methods] Two patients who had suffered a basilar (A) or middle (B) cerebral artery ischemic stroke were compared with a control (C). Seventeen inertial sensors were used with acquisition rate of 120 Hz. The participants walked 3 times on a 10 meter walkway. From the raw data, the three gait cycles from the middle of each trial were chosen and analyzed. [Results] During the stance phase, patients A and B had a lower hip angle at initial contact and maximum flexion angle during load response than the control. Patient A and the control subject had similar knee angle values at initial contact, and patient B presented a flexed position in the initial phase of the gait cycle. The maximum flexion angles during loading response were also higher for patient B. The sagittal plane excursion for the ankle joint was lower for patient B in comparison with the other subjects. [Conclusion] Differences during walking between patients who had stroke in different arteries may be related to an alternative compensatory strategy. Patient A and the control subject had similar gait cycle curves at all joints, while patient B showed a rigid synergic pattern.

Automation enhancement and accuracy investigation of a portable single‐camera gait analysis system

“…Note also that the Bland-Altman plot mean error of stroke patients (Tables 1 and 2) is approximately 2 degrees smaller in amplitude compared to healthy volunteers (Table 3), with a 95% confidence interval approximately 0.7 degree smaller. This is due to: (1) the knee range of motion in healthy volunteers being greater than stroke patients given the fact that stroke patients generally perform synergistic gait pattern during walking [60,61] while healthy individuals perform selective joint movements [62]. This difference in knee range of motion occurs as a result of the deviation between the knee angle plane and the camera scene plane for healthy volunteers being larger than that for stroke patients; (2) both groups have small sample size, and the healthy group was half the size of the patient group.…”

Comparison between a center of mass and a foot pressure sensor system for measuring gait parameters in healthy adults

“…Recently, a gait analysis system has become commercially available that allows the user to perform a simple quantitative evaluation of the spatial-temporal characteristics during gait and has been used to assess the effect of training on pathological gait 6 , 7 ) . Most gait analysis techniques utilize foot pressure or motion capture systems to detect changes in the gait characteristics; these systems have been validated and are highly reliable for clinical use 8 , 9 ) .…”