Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Embodimetrics: A Principal Component Analysis of the Combined Assessment of Cardiac, Cognitive and Mobility Parameters

Version 1 : Received: 9 February 2024 / Approved: 12 February 2024 / Online: 12 February 2024 (13:19:53 CET)

A peer-reviewed article of this Preprint also exists.

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. 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

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.

Leave a public comment
Send a private comment to the author(s)
* All users must log in before leaving a comment
Views 0
Downloads 0
Comments 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.