Among the stride measures, the standard deviation of the stride interval exhibited the strongest correlation with blood flow velocity features.
Three trials at each time point were conducted per mouse, and four sets of prints from the same stride were measured and averaged for each time point.
Estimates of speed for the 11 sauropod trackmakers were made using pes lengths and stride lengths measured directly from the tracksite, following calculations outlined in Alexander (1976): v≈0.25g0.5SL1.67h−1.17, where v indicates velocity, g equals the gravitational constant, SL equals stride length, and h equals hip height.
Different parameters of the stride were measured and analysed as described previously (69).
Stride length, measured in meters, was the distance between right foot heel strike to next right foot heel strike.
Our results also confirm that stride length measured on an electronic walkway is strongly related to history of falls in older men from the general population.
We measured stride-to-stride fluctuations of patients with two forms of mood disorders, unipolar major depressive disorder (MDD) and bipolar disorder, and compared their gait to that of a healthy control group.
Conclusions: These findings show both the feasibility of obtaining stride-to-stride measures of gait timing in the ambulatory setting and the potential use of gait variability measures in augmenting the prospective evaluation of fall risk in community-living older adults.
The footprint patterns were analyzed for three step parameters (measured in cm): (1) Stride length was measured as the average distance of forward movement between each stride, (2) hind-base width and (3) front-base width were measured as the average distance between left and right hind footprints and left and right front footprints, respectively.
Stride length was measured as the average distance of forward movement between each stride.
