Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Sofia de la Fuente Garcia"'
Publikováno v:
Frontiers in Computer Science, Vol 3 (2021)
Externí odkaz:
https://doaj.org/article/0cbf4d29804f4467ba866c13e939a3fd
Publikováno v:
Journal of Alzheimer's Disease
De La Fuente Garcia, S, Ritchie, C & Luz, S 2020, ' Artificial Intelligence, speech and language processing approaches to monitoring Alzheimer's Disease: a systematic review ', Journal of Alzheimer's Disease . https://doi.org/10.3233/JAD-200888
De La Fuente Garcia, S, Ritchie, C & Luz, S 2020, ' Artificial Intelligence, speech and language processing approaches to monitoring Alzheimer's Disease: a systematic review ', Journal of Alzheimer's Disease . https://doi.org/10.3233/JAD-200888
Language is a valuable source of clinical information in Alzheimer's Disease, as it declines concurrently with neurodegeneration. Consequently, speech and language data have been extensively studied in connection with its diagnosis. This paper summar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9f12d7b1412d4b6792ff77247f3e647
http://europepmc.org/articles/PMC7836050
http://europepmc.org/articles/PMC7836050
Publikováno v:
Luz, S, Haider, F, de la Fuente, S, Fromm, D & MacWhinney, B 2021, ' Editorial: Alzheimer's Dementia Recognition through Spontaneous Speech ', Frontiers in Computer Science, vol. 3:780169, pp. 1-4 . https://doi.org/10.3389/fcomp.2021.780169
Frontiers in Computer Science, Vol 3 (2021)
Frontiers in Computer Science, Vol 3 (2021)
While a number of studies have investigated speech and language features for the detection of AD and mild cognitive impairment and proposed various signal processing and machine learning methods for this task, the field still lacks balanced benchmark
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef77269209dbcc0ea202602af91ade5f
https://hdl.handle.net/20.500.11820/f1d8eca9-58af-462f-be94-5665ec2aab31
https://hdl.handle.net/20.500.11820/f1d8eca9-58af-462f-be94-5665ec2aab31
Publikováno v:
Ambegaonkar, A, Ritchie, C & De La Fuente Garcia, S 2021, ' The Use of Mobile Applications as Communication Aids for People with Dementia: Opportunities and Limitations ', Journal of Alzheimer's Disease Reports, vol. 5, no. 1, pp. 681-692 . https://doi.org/10.3233/ADR-200259
Journal of Alzheimer's Disease Reports
Journal of Alzheimer's Disease Reports
Background: Communication difficulties are one of the primary symptoms associated with dementia, and mobile applications have shown promise as tools for facilitating communication in patients with dementia (PwD). The literature regarding mobile healt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea86a453cccd60a76b5ff5cf936331da
https://www.pure.ed.ac.uk/ws/files/236648198/adr_5_adr200259.pdf
https://www.pure.ed.ac.uk/ws/files/236648198/adr_5_adr200259.pdf
The COVID-19 pandemic has led to unprecedented restrictions in people’s lifestyle which have affected their psychological wellbeing. In this context, this paper investigates the use of social signal processing techniques for remote assessment of em
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13c366b0d0412fcaed515368b1439900
https://doi.org/10.1101/2021.05.05.21256668
https://doi.org/10.1101/2021.05.05.21256668
Publikováno v:
2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
EMBC
De La Fuente Garcia, S, Haider, F & Luz, S 2020, Cross-corpus Feature Learning between Spontaneous Monologue and Dialogue for Automatic Classification of Alzheimer's Dementia Speech . in 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) . Institute of Electrical and Electronics Engineers (IEEE), pp. 5851-5855, 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 20/07/20 . https://doi.org/10.1109/EMBC44109.2020.9176305
EMBC
De La Fuente Garcia, S, Haider, F & Luz, S 2020, Cross-corpus Feature Learning between Spontaneous Monologue and Dialogue for Automatic Classification of Alzheimer's Dementia Speech . in 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) . Institute of Electrical and Electronics Engineers (IEEE), pp. 5851-5855, 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 20/07/20 . https://doi.org/10.1109/EMBC44109.2020.9176305
Speech analysis could help develop clinical tools for automatic detection of Alzheimer's disease and monitoring of its progression. However, datasets containing both clinical information and spontaneous speech suitable for statistical learning are re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8db6c95a3af79b1da82e720524d81cdb