Automated feature assessment in instrumented gait analysis

Kinematics and kinetics with an adaptive ankle foot system during stair ambulation of transtibial amputees

“…The effect of the new prosthetic ankle was first analyzed by comparing the kinematics and kinetics time-series of the two conditions with the respective data of the control subjects using the formalized norm distance (ND) [19] defined by: where k indicates the sample index of a time normalized stride (typically in percentage gait cycle). Hence, this ND yields the difference between individual gait data and the average value of the reference data weighted by the variation within this reference.…”

Autism Spectrum Disorders Gait Identification Using Ground Reaction Forces

“…Time-series parameterization techniques were applied to each waveform to extract the instantaneous values of amplitude and its relative time [24,28]. This technique is considered one of the most common methods of gait data analysis, which is preferable, and clinically acceptable [29,30].…”

Human Movement Analysis: Extension of the F-Statistic to Time Series Using HMM

“…It is used to investigate the influence of factors, such as individual characteristics or chronic diseases on the human kinematics, to qualify the efficiency of treatments or surgeries, and to develop exercise strategies which are most effective [1], [2], [3]. The outcome is beneficial to find better treatments and more suitable rehabilitation exercises for populations suffering from chronic diseases or after injuries or surgeries, to optimize the training of athletes, and to enhance the fitness of the healthy population.…”

“…It is widely used in clinical and biomechanical studies to record gait, daily movements, and exercise movements of healthy subjects, athletes, or subjects suffering from chronic diseases, after injuries, or operations [1], [2], [3]. The data is usually recorded with a frame rate of up to 512 Hz.…”

“…However, manual selection of the kinematic parameters and descriptive measures can be challenging, because movement execution differs between individuals and the selected set might not be the most informative. This can be overcome by utilizing computational techniques applied to the time series data to select the most informative movement kinematics [6], [7], [2], [8], [3].…”