Chellini, A.; Salmaso, K.; Di Domenico, M.; Gerbi, N.; Grillo, L.; Donati, M.; Iosa, M. Embodimetrics: A Principal Component Analysis Study of the Combined Assessment of Cardiac, Cognitive and Mobility Parameters. Sensors2024, 24, 1898.
Chellini, A.; Salmaso, K.; Di Domenico, M.; Gerbi, N.; Grillo, L.; Donati, M.; Iosa, M. Embodimetrics: A Principal Component Analysis Study of the Combined Assessment of Cardiac, Cognitive and Mobility Parameters. Sensors 2024, 24, 1898.
Chellini, A.; Salmaso, K.; Di Domenico, M.; Gerbi, N.; Grillo, L.; Donati, M.; Iosa, M. Embodimetrics: A Principal Component Analysis Study of the Combined Assessment of Cardiac, Cognitive and Mobility Parameters. Sensors2024, 24, 1898.
Chellini, A.; Salmaso, K.; Di Domenico, M.; Gerbi, N.; Grillo, L.; Donati, M.; Iosa, M. Embodimetrics: A Principal Component Analysis Study of the Combined Assessment of Cardiac, Cognitive and Mobility Parameters. Sensors 2024, 24, 1898.
Abstract
Some studies investigated the relationship between frequency domain analysis of heart rate variability and the cognitive performance at the Stroop task. We propose a combined assessment also of trunk mobility in 72 healthy women to investigate the relationship between cognitive, cardiac and motor variables based on a principal component analysis. We also assessed the change on this result after an intervention of two months aiming at improving the perception-action link. At baseline, the PCA correctly identified 3 components: one related to cardiac variables, one to trunk motion and one to the performance of Stroop task. After the intervention, only two components were found with trunk symmetry and range of motion, accuracy and time to complete the Stroop task and low frequency heart rate variability aggregated in a single component by PCA. It suggested that this protocol was effective in investigating the embodied cognition and we defined this approach as “embodimetrics”.
Keywords
embodiment; heart rate variability; stroop task; motor control
Subject
Biology and Life Sciences, Neuroscience and Neurology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
