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- W2948580529 abstract "The study was aimed at searching the characteristic features of a human gait during a conventionally used neurologic walking test with the help of sensors (3D accelerometer and gyroscope) in a smartphone mounted on the person's head. This allowed reducing the amount of analyzed data and saving time for analysis in comparison with motion video capture methods. It has been found that merely one inertial unit is good enough to detect the gait left-right asymmetry in healthy subjects. Several parameters were derived, one of them (acceleration shock) proved to be the most informative one. The gyroscope signal allowed detecting the characteristics of the gait in Parkinson's disease patients seen as the excess of the power spectrum density in all three axes. Therefore, this study was aimed to extract amplitude and spectral parameters from acceleration and rotation rate signals of smartphone-based IMU attached to the head during the long version of the TUG test in a group of neurologically healthy young subjects." @default.
- W2948580529 created "2019-06-14" @default.
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- W2948580529 date "2019-07-01" @default.
- W2948580529 modified "2023-09-26" @default.
- W2948580529 title "Using Smartphone Inertial Measurement Unit for Analysis of Human Gait" @default.
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- W2948580529 doi "https://doi.org/10.4018/ijertcs.2019070107" @default.
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