| 1. |
- Björkner, Eva, et al.
(författare)
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Voice acoustic parameters for detecting signs of early cognitive impairment
- 2017
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Ingår i: PEVOC (PanEuropean Voice Conference) 12, August 30th - September 1st 2017, Ghent, Belgium.
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- Aiding the detection of very early cognitive impairment in Alzheimer's disease (AD) and assessing the disease progression are essential foundations for effective psychological assessment, diagnosis and planning. Efficient tools for routine dementia screening in primary health care, particularly non-invasive and cost-effective methods, are desirable. The aim of this study is to find out if voice acoustic analysis can be a useful tool for detecting signs of early cognitive impairment.
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| 2. |
- Fraser, Kathleen, 1984, et al.
(författare)
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An analysis of eye-movements during reading for the detection of mild cognitive impairment
- 2017
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Ingår i: Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing. September 9-11, 2017 Copenhagen, Denmark / Editors Martha Palmer, Rebecca Hwa, Sebastian Riedel. - : Association for Computational Linguistics. - 9781945626838
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Konferensbidrag (refereegranskat)abstract
- We present a machine learning analysis of eye-tracking data for the detection of mild cognitive impairment, a decline in cognitive abilities that is associated with an increased risk of developing dementia. We compare two experimental configurations (reading aloud versus reading silently), as well as two methods of combining information from the two trials (concatenation and merging). Additionally, we annotate the words being read with information about their frequency and syntactic category, and use these annotations to generate new features. Ultimately, we are able to distinguish between participants with and without cognitive impairment with up to 86% accuracy.
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| 3. |
- Kokkinakis, Dimitrios, 1965, et al.
(författare)
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A Swedish Cookie-Theft Corpus
- 2018
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Ingår i: LREC 2018, 11th edition of the Language Resources and Evaluation Conference, 7-12 May 2018, Miyazaki (Japan) / Editors: Nicoletta Calzolari (Conference chair), Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Koiti Hasida, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis, Takenobu Tokunaga. - : European Language Resources Association. - 9791095546009
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Konferensbidrag (refereegranskat)abstract
- Language disturbances can be a diagnostic marker for neurodegenerative diseases, such as Alzheimer’s disease, at earlier stages, and connected speech analysis provides a non-invasive and easy-to-assess measure for determining aspects of the severity of language impairment. In this paper we focus on the development of a corpus consisting of audio recordings of picture descriptions of the Cookie-theft, produced by Swedish speakers, and accompanying transcriptions. The speech elicitation procedure provides an established method of obtaining highly constrained samples of connected speech that can allow us to study the intricate interactions between various linguistic levels and cognition. We chose the Cookie-theft picture since it is a standardized test that has been used in various studies in the past, and therefore comparisons can be made based on previous results. This type of picture description task might be useful for detecting subtle language deficits in patients with subjective and mild cognitive impairment. The resulting corpus is a new, rich and multi-faceted resource for the investigation of linguistic characteristics of connected speech and a unique data set that provides a rich resource for (future) research and experimentation in many areas, and of language impairment in particular. The information in the corpus can also be combined and correlated with other collected data about the speakers, such as neuropsychological tests, imaging and brain physiology markers and cerebrospinal fluid markers.
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