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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)

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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)Associations between Cardiovascular Signal Entropy and Cognitive Performance over Eight Years., , , , , , , and . Entropy, 23 (10): 1337 (2021)Quantitative Falls Risk Assessment Using the Timed Up and Go Test., , , , , and . IEEE Trans. Biomed. Eng., 57 (12): 2918-2926 (2010)A Novel Methodology for the Synchronous Collection and Multimodal Visualization of Continuous Neurocardiovascular and Neuromuscular Physiological Data in Adults with Long COVID., , , , , , and . Sensors, 22 (5): 1758 (2022)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)Using Explainable AI (XAI) for the Prediction of Falls in the Older Population., and . Algorithms, 15 (10): 353 (2022)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)