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Were Frailty Identification Criteria Created Equal? A Comparative Case Study on Continuous Non-Invasively Collected Neurocardiovascular Signals during an Active Standing Test in the Irish Longitudinal Study on Ageing (TILDA).

, , , , , , , , and . Sensors, 24 (2): 442 (January 2024)

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Were Frailty Identification Criteria Created Equal? A Comparative Case Study on Continuous Non-Invasively Collected Neurocardiovascular Signals during an Active Standing Test in the Irish Longitudinal Study on Ageing (TILDA)., , , , , , , , and . Sensors, 24 (2): 442 (January 2024)Cardiovascular Signal Entropy Predicts All-Cause Mortality: Evidence from The Irish Longitudinal Study on Ageing (TILDA)., , , , , , and . Entropy, 24 (5): 676 (2022)A linear regression-based machine learning pipeline for the discovery of clinically relevant correlates of gait speed reserve from multiple physiological systems., , , , , and . EUSIPCO, page 1266-1270. IEEE, (2021)Associations between Cardiovascular Signal Entropy and Cognitive Performance over Eight Years., , , , , , , and . Entropy, 23 (10): 1337 (2021)The prediction of mortality from continuous non-invasive cardiovascular signals on standing: entropy was significant, but not the overall response profile., , , , , and . EUSIPCO, page 1298-1302. IEEE, (2022)Age-related normative changes in cerebral perfusion: Data from The Irish Longitudinal Study on Ageing (TILDA)., , , , , , , , , and . NeuroImage, (2021)Associations between Neurocardiovascular Signal Entropy and Physical Frailty., , , , , and . Entropy, 23 (1): 4 (2021)Functional Clustering of Continuous Cardiovascular and Brain Oxygenation Signals During an Active Stand Test in The Irish Longitudinal Study on Ageing (TILDA)., , , , and . EUSIPCO, page 1080-1084. IEEE, (2023)Alluvial visualization and computation of probabilities of transitions in frailty index states over an 8-year period using multi-state Markov models., , , , and . EUSIPCO, page 1191-1195. IEEE, (2021)