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Multimodal Analytics for early Diagnosis of Alzheimer's Disease

Published: 17 March 2020 Publication History

Abstract

Alzheimer's Disease(AD) is a neurocognitive disease that causes impairments of cognition as well as Activities of Daily Living (ADLs). This research investigates the possibility of diagnosing the early stages of AD using the impairments of ADLs. It explores the areas which are difficult to assess and undiagnosed in clinical settings using behavioral analytics. The main focus of the research is to identify unrecognized and abnormal behavioral patterns associated with ADLs with the use of multimodal technologies such as hand movements, facial responses, eye gaze, and spontaneous speech patterns which are visible at prodromal stages of AD and evaluate their association with the corresponding mental status.

References

[1]
Association Alzheimer's. 2015. 2015 Alzheimer's disease facts and figures. Alzheimer's & dementia: the journal of the Alzheimer's Association 11, 3 (2015), 332.
[2]
Ahmed Ashraf and Babak Taati. 2015. Automated video analysis of handwashing behavior as a potential marker of cognitive health in older adults. IEEE journal of biomedical and health informatics 20, 2 (2015), 682--690.
[3]
Jonas J de Paula, Maicon R Albuquerque, Guilherme M Lage, Maria A Bicalho, Marco A Romano-Silva, and Leandro F Malloy-Diniz. 2016. Impairment of fine motor dexterity in mild cognitive impairment and Alzheimer's disease dementia: association with activities of daily living. Revista brasileira de psiquiatria 38, 3 (2016), 235--238.
[4]
Anastasios Karakostas, Alexia Briassouli, Konstantinos Avgerinakis, Ioannis Kompatsiaris, and Magda Tsolaki. 2016. The dem@ care experiments and datasets: a technical report. arXiv preprint arXiv:1701.01142 (2016).
[5]
Alan Kluger, John G Gianutsos, James Golomb, Steven H Ferris, Ajax E George, Emile Franssen, and Barry Reisberg. 1997. Patterns of motor impairment in normal aging, mild cognitive decline, and early Alzheimer'Disease. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences 52, 1 (1997), P28-P39.
[6]
Kimi Estela Kobayashi-Cuya, Ryota Sakurai, Hiroyuki Suzuki, Susumu Ogawa, Toru Takebayashi, and Yoshinori Fujiwara. 2018. Observational evidence of the association between handgrip strength, hand dexterity, and cognitive performance in community-dwelling older adults: a systematic review. Journal of epidemiology (2018), JE20170041.
[7]
Alexandra König, Aharon Satt, Alexander Sorin, Ron Hoory, Orith Toledo-Ronen, Alexandre Derreumaux, Valeria Manera, Frans Verhey, Pauline Aalten, Phillipe H Robert, et al. 2015. Automatic speech analysis for the assessment of patients with predementia and Alzheimer's disease. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring 1, 1 (2015), 112--124.
[8]
Niken Prasasti Martono, Takehiko Yamaguchi, and Hayato Ohwada. 2016. Utilizing finger movement data to cluster patients with everyday action impairment. In 2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI* CC). IEEE, 459--464.
[9]
Michelle E Mlinac and Michelle C Feng. 2016. Assessment of activities of daily living, self-care, and independence. Archives of Clinical Neuropsychology 31, 6 (2016), 506--516.
[10]
Ulrich Seidl, Ulrike Lueken, Philipp A Thomann, Andreas Kruse, and Johannes Schröder. 2012. Facial expression in Alzheimer's disease: impact of cognitive deficits and neuropsychiatric symptoms. American Journal of Alzheimer's Disease & Other Dementias® 27, 2 (2012), 100--106.
[11]
Hiroki Tanaka, Hiroyoshi Adachi, Norimichi Ukita, Manabu Ikeda, Hiroaki Kazui, Takashi Kudo, and Satoshi Nakamura. 2017. Detecting dementia through interactive computer avatars. IEEE journal of translational engineering in health and medicine 5 (2017), 1--11.
[12]
William J Tippett and Lauren E Sergio. 2006. Visuomotor integration is impaired in early stage Alzheimer's disease. Brain Research 1102, 1 (2006), 92--102.
[13]
Thomas DW Wilcockson, Diako Mardanbegi, Baiqiang Xia, Simon Taylor, Pete Sawyer, Hans W Gellersen, Ira Leroi, Rebecca Killick, and Trevor J Crawford. 2019. Abnormalities of saccadic eye movements in dementia due to Alzheimer's disease and mild cognitive impairment. Aging (Albany NY) 11, 15 (2019), 5389.

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cover image ACM Conferences
IUI '20 Companion: Companion Proceedings of the 25th International Conference on Intelligent User Interfaces
March 2020
153 pages
ISBN:9781450375139
DOI:10.1145/3379336
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Publication History

Published: 17 March 2020

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Author Tags

  1. Alzheimer's Disease
  2. Behavioral Analytics
  3. Facial Expressions
  4. Gaze
  5. Hand Movements
  6. Multimodal
  7. Speech

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