Estimation of spatio-temporal parameters for post-stroke hemiparetic gait using inertial sensors

Yang, Shuozhi; Zhang, Juntian; Novak, Alison C.; Brouwer, Brenda; Li, Qingguo

doi:10.1016/j.gaitpost.2012.07.032

Cited by 112 publications

(71 citation statements)

References 26 publications

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“…However, direct outputs from accelerometers and gyroscopes have been used to determine foot contact and toe off events during gait, allowing for calculation of spatiotemporal parameters [11-13]. These methods have been validated and used to identify spatiotemporal deficits in individuals with hemiparesis [14,15], but it is not known if the procedures would be applicable in individuals following ACLr. While a previous study found no spatiotemporal deficits in individuals following ACLr compared to healthy controls, the subjects were, on average, 3 years post-surgery [13].…”

Section: Introductionmentioning

confidence: 99%

Characterizing knee loading asymmetry in individuals following anterior cruciate ligament reconstruction using inertial sensors

2016

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Limitations in the ability to identify knee extensor loading deficits during gait in individuals following anterior cruciate ligament reconstruction (ACLr) may underlie their persistence. A recent study suggested that shank angular velocity, directly output from inertial sensors, differed during gait between individuals post-ACLr and controls. However, it is not clear if this kinematic variable relates to knee moments calculated using joint kinematics and ground reaction forces. Heel rocker mechanics during loading response of gait, characterized by rapid shank rotation, require knee extensor control. Measures of shank angular velocity may be reflective of knee moments. This study investigated the relationship between shank angular velocity and knee extensor moment during gait in individuals (n=19) 96.7±16.8 days post-ACLr. Gait was assessed concurrently using inertial sensors and a marker-based motion system with force platforms. Peak angular velocity and knee extensor moment were strongly correlated (r=0.75, p<0.001) and between limb ratios of angular velocity predicted between limb ratios of extensor moment (r2=0.57 ,p<0.001) in the absence of between limb differences in spatiotemporal gait parameters. The strength of these relationships indicate that shank kinematic data offer meaningful information regarding knee loading and provide a potential alternative to full motion analysis systems for identification of altered knee loading following ACLr

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Section: Introductionmentioning

confidence: 99%

Characterizing knee loading asymmetry in individuals following anterior cruciate ligament reconstruction using inertial sensors

2016

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“…Some studies have used data from a pair of wireless accelerometers attached to each shank [7,8], each foot [8][9][10] or slightly above each knee joint [11]. Angular velocity was also measured from a pair of gyroscopes placed on each shank [12][13][14] or each foot [8][9][10]. Other studies present a functional method that registers only lower trunk acceleration to analyze gait parameters [15][16][17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Analysis of several methods and inertial sensors locations to assess gait parameters in able-bodied subjects

2015

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“…The gait cycle depicted in Figure 3 is used to describe the complex activity of walking, which includes the motions from initial supporting heel leaving the ground to the same heel leaving the ground for a second of time [24]. As can see from the figure, the gait cycle mainly consists of 6 stages, and only when the foot stays on the ground to support the other leg swing forward, the gyroscope signal is close to 0 and the variations are subtle.…”

Section: Proposed Position Estimation Methodsmentioning

confidence: 99%

Fusion of Inertial/Magnetic Sensor Measurements and Map Information for Pedestrian Tracking

Bao

Meng

Xiao

et al. 2017

Sensors

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Abstract:The wearable inertial/magnetic sensor based human motion analysis plays an important role in many biomedical applications, such as physical therapy, gait analysis and rehabilitation. One of the main challenges for the lower body bio-motion analysis is how to reliably provide position estimations of human subject during walking. In this paper, we propose a particle filter based human position estimation method using a foot-mounted inertial and magnetic sensor module, which not only uses the traditional zero velocity update (ZUPT), but also applies map information to further correct the acceleration double integration drift and thus improve estimation accuracy. In the proposed method, a simple stance phase detector is designed to identify the stance phase of a gait cycle based on gyroscope measurements. For the non-stance phase during a gait cycle, an acceleration control variable derived from ZUPT information is introduced in the process model, while vector map information is taken as binary pseudo-measurements to further enhance position estimation accuracy and reduce uncertainty of walking trajectories. A particle filter is then designed to fuse ZUPT information and binary pseudo-measurements together. The proposed human position estimation method has been evaluated with closed-loop walking experiments in indoor and outdoor environments. Results of comparison study have illustrated the effectiveness of the proposed method for application scenarios with useful map information.

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Estimation of spatio-temporal parameters for post-stroke hemiparetic gait using inertial sensors

Cited by 112 publications

References 26 publications

Characterizing knee loading asymmetry in individuals following anterior cruciate ligament reconstruction using inertial sensors

Characterizing knee loading asymmetry in individuals following anterior cruciate ligament reconstruction using inertial sensors

Analysis of several methods and inertial sensors locations to assess gait parameters in able-bodied subjects

Fusion of Inertial/Magnetic Sensor Measurements and Map Information for Pedestrian Tracking

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