Matches in SemOpenAlex for { <https://semopenalex.org/work/W4386208033> ?p ?o ?g. }
- W4386208033 abstract "Detection of subtle deficits in everyday functioning due to cognitive impairment is important for early detection of neurodegenerative diseases, particularly Alzheimer's disease. However, current standards for assessment of everyday functioning are based on qualitative, subjective ratings. Speech has been shown to provide good objective markers for cognitive impairments, but the association with cognition-relevant everyday functioning remains uninvestigated. In this study, we demonstrate the feasibility of using a smartwatch-based application to collect acoustic features as objective markers for detecting deficits in everyday functioning. We collected voice data during the performance of cognitive tasks and daily conversation, as possible application scenarios, from 54 older adults, along with a measure of everyday functioning. Machine learning models using acoustic features could detect individuals with deficits in everyday functioning with up to 77.8% accuracy, which was higher than the 68.5% accuracy with standard neuropsychological tests. We also identified common acoustic features for robustly discriminating deficits in everyday functioning across both types of voice data (cognitive tasks and daily conversation). Our results suggest that common acoustic features extracted from different types of voice data can be used as markers for deficits in everyday functioning." @default.
- W4386208033 created "2023-08-28" @default.
- W4386208033 creator A5003789642 @default.
- W4386208033 creator A5028484469 @default.
- W4386208033 creator A5029367635 @default.
- W4386208033 creator A5031316622 @default.
- W4386208033 creator A5039533304 @default.
- W4386208033 creator A5081603102 @default.
- W4386208033 creator A5092704675 @default.
- W4386208033 date "2023-07-01" @default.
- W4386208033 modified "2023-09-24" @default.
- W4386208033 title "Smartwatch-derived Acoustic Markers for Deficits in Cognitively Relevant Everyday Functioning" @default.
- W4386208033 cites W1574405090 @default.
- W4386208033 cites W1853705225 @default.
- W4386208033 cites W1931847109 @default.
- W4386208033 cites W1966748374 @default.
- W4386208033 cites W1968703316 @default.
- W4386208033 cites W1974032580 @default.
- W4386208033 cites W1981045564 @default.
- W4386208033 cites W1985198345 @default.
- W4386208033 cites W1986788799 @default.
- W4386208033 cites W1997994949 @default.
- W4386208033 cites W2003502731 @default.
- W4386208033 cites W2013086555 @default.
- W4386208033 cites W2013607785 @default.
- W4386208033 cites W2016125416 @default.
- W4386208033 cites W2032917986 @default.
- W4386208033 cites W2036073392 @default.
- W4386208033 cites W2071031592 @default.
- W4386208033 cites W2087347434 @default.
- W4386208033 cites W2101435558 @default.
- W4386208033 cites W2107204139 @default.
- W4386208033 cites W2112224561 @default.
- W4386208033 cites W2112505157 @default.
- W4386208033 cites W2115300091 @default.
- W4386208033 cites W2129497119 @default.
- W4386208033 cites W2130111393 @default.
- W4386208033 cites W2132582376 @default.
- W4386208033 cites W2154900811 @default.
- W4386208033 cites W2156435500 @default.
- W4386208033 cites W2156665896 @default.
- W4386208033 cites W2159932476 @default.
- W4386208033 cites W2160439953 @default.
- W4386208033 cites W2161603871 @default.
- W4386208033 cites W2191779130 @default.
- W4386208033 cites W2328119499 @default.
- W4386208033 cites W2338364226 @default.
- W4386208033 cites W2341283081 @default.
- W4386208033 cites W2402715013 @default.
- W4386208033 cites W2417682110 @default.
- W4386208033 cites W2498298636 @default.
- W4386208033 cites W2577463685 @default.
- W4386208033 cites W2597397543 @default.
- W4386208033 cites W2744708037 @default.
- W4386208033 cites W2752744672 @default.
- W4386208033 cites W2785831922 @default.
- W4386208033 cites W2790394929 @default.
- W4386208033 cites W2793398224 @default.
- W4386208033 cites W2889102505 @default.
- W4386208033 cites W2891062007 @default.
- W4386208033 cites W2903950532 @default.
- W4386208033 cites W2917347002 @default.
- W4386208033 cites W2945350190 @default.
- W4386208033 cites W2949676527 @default.
- W4386208033 cites W2970679586 @default.
- W4386208033 cites W2999755961 @default.
- W4386208033 cites W3031046852 @default.
- W4386208033 cites W3042015757 @default.
- W4386208033 cites W3094326096 @default.
- W4386208033 cites W3094881941 @default.
- W4386208033 cites W3102476541 @default.
- W4386208033 cites W3137625463 @default.
- W4386208033 cites W3157651102 @default.
- W4386208033 cites W3168517739 @default.
- W4386208033 cites W3195898203 @default.
- W4386208033 cites W3200827588 @default.
- W4386208033 cites W4200121605 @default.
- W4386208033 cites W4206774749 @default.
- W4386208033 cites W4224929297 @default.
- W4386208033 cites W4229029590 @default.
- W4386208033 cites W4282929153 @default.
- W4386208033 cites W4285242935 @default.
- W4386208033 cites W4293574572 @default.
- W4386208033 cites W4308181247 @default.
- W4386208033 cites W4310461604 @default.
- W4386208033 cites W4310872909 @default.
- W4386208033 cites W4312651487 @default.
- W4386208033 cites W4319984390 @default.
- W4386208033 cites W4324135725 @default.
- W4386208033 doi "https://doi.org/10.1109/icdh60066.2023.00015" @default.
- W4386208033 hasPublicationYear "2023" @default.
- W4386208033 type Work @default.
- W4386208033 citedByCount "0" @default.
- W4386208033 crossrefType "proceedings-article" @default.
- W4386208033 hasAuthorship W4386208033A5003789642 @default.
- W4386208033 hasAuthorship W4386208033A5028484469 @default.
- W4386208033 hasAuthorship W4386208033A5029367635 @default.
- W4386208033 hasAuthorship W4386208033A5031316622 @default.
- W4386208033 hasAuthorship W4386208033A5039533304 @default.
- W4386208033 hasAuthorship W4386208033A5081603102 @default.