2013
DOI: 10.1007/978-3-642-38256-7_16
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Assessment of Gait Symmetry and Gait Normality Using Inertial Sensors: In-Lab and In-Situ Evaluation

Abstract: Abstract. Quantitative gait analysis is a powerful tool for the assessment of a number of physical and cognitive conditions. Unfortunately, the costs involved in providing in-lab 3D kinematic analysis to all patients is prohibitive. Inertial sensors such as accelerometers and gyroscopes may complement in-lab analysis by providing cheaper gait analysis systems that can be deployed anywhere. The present study investigates the use of inertial sensors to quantify gait symmetry and gait normality. The system was ev… Show more

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Cited by 14 publications
(6 citation statements)
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“…Additionally, force sensors, extensometers, goniometers, active markers, and electromyography are utilized to capture the signals that characterize the gait [17]. Sant'Anna et al [18] developed a system with inertial sensors to quantify gait symmetry and gait normality. The evaluation was performed in the laboratory, as opposed to the 3D kinematic measurements, and in situ, contrary to the clinical assessments of patients undergoing hip replacement.…”
Section: Discussionmentioning
confidence: 99%
“…Additionally, force sensors, extensometers, goniometers, active markers, and electromyography are utilized to capture the signals that characterize the gait [17]. Sant'Anna et al [18] developed a system with inertial sensors to quantify gait symmetry and gait normality. The evaluation was performed in the laboratory, as opposed to the 3D kinematic measurements, and in situ, contrary to the clinical assessments of patients undergoing hip replacement.…”
Section: Discussionmentioning
confidence: 99%
“…It is based on inertial/magnetic sensor modules in which micro electro-mechanical systems (MEMS) sensors are used, which make it possible to track orientation in real time [49]. Sant'Anna et al (2013) developed a system with inertial sensors to quantify gait symmetry and gait normality with subject's velocity, acceleration, orientation, and gravitational forces [58].…”
Section: Inertial Sensorsmentioning
confidence: 99%
“…These parameters can be extracted from the time or frequency domain [42]. Commonly used time domain gait features include local extrema [43,44], adaptive thresholds (or zero) crossings [23,45,46], and gait symmetry indexes [47]. Common frequency domain features include FFT (Fast Fourier Transformation) coefficients [42,48] and wavelet transforms [49].…”
Section: Estimation Of Gait Patternsmentioning
confidence: 99%