“…As statistical measures, time-domain features provide insight into the following aspects of the measured signal:
- general description of the raw signal, such as the mean (6, 8, 32, 42, 43) and standard deviation (6, 8, 32, 43, 54);
- representation of the signal strength, such as accelerometer counts (13, 17, 44, 50, 56), signal power (52), log energy (41) and peak-to-peak amplitude (6, 8);
- distributions of the signal, such as 10th, 25th, 50th (median), 75th, 90th percentiles (32, 43, 57) and interquartile range (42, 52);
- measures of the signal probability distribution, such as kurtosis (52), skewness (52) and coefficient of variation (CV) (17, 52, 54);
- and others, such as peak intensity (52), zero crossings (54), autocorrelation (57), and cross-correlation (6, 43).
…”