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  Indian J Med Microbiol
 

Figure 2: Velocity, cadence, and stride length explain most of the gait data variability at 24 hours and 12 weeks post-TBI. Pigs were subjected to gait analysis using a GAITFour® electronic, pressure-sensitive mat at 24 hours and 12 weeks post-TBI (A). Activated sensors on the mat were capable of detecting key gait pressure and spatiotemporal parameter changes of the left front (blue), left hind (green), right front (red), and right hind (black) limbs (B). The scree plot of the first 10 PCs of gait data at 24 hours post-TBI using covariance criteria showed that PC1 and PC2 explained most of the variability (C). The biplot of PC1 against PC2 indicated that velocity, cadence, and stride length are dominant in explaining most of the variability at 24 hours post-TBI (D). The scree plot of the first 10 PCs of gait data at 12 weeks post-TBI using covariance criteria showed that PC1 and PC2 explained most of the variability (E). The biplot of PC1 against PC2 indicated that velocity, cadence, and stride length are dominant in explaining most of the variability at 12 weeks post-TBI (F). PC: Principal component; PCA: principal component analysis; TBI: Traumatic brain injury.

Figure 2: Velocity, cadence, and stride length explain most of the gait data variability at 24 hours and 12 weeks post-TBI. 
Pigs were subjected to gait analysis using a GAITFour® electronic, pressure-sensitive mat at 24 hours and 12 weeks post-TBI (A). Activated sensors on the mat were capable of detecting key gait pressure and spatiotemporal parameter changes of the left front (blue), left hind (green), right front (red), and right hind (black) limbs (B). The scree plot of the first 10 PCs of gait data at 24 hours post-TBI using covariance criteria showed that PC1 and PC2 explained most of the variability (C). The biplot of PC1 against PC2 indicated that velocity, cadence, and stride length are dominant in explaining most of the variability at 24 hours post-TBI (D). The scree plot of the first 10 PCs of gait data at 12 weeks post-TBI using covariance criteria showed that PC1 and PC2 explained most of the variability (E). The biplot of PC1 against PC2 indicated that velocity, cadence, and stride length are dominant in explaining most of the variability at 12 weeks post-TBI (F). PC: Principal component; PCA: principal component analysis; TBI: Traumatic brain injury.