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research-article

Opportunistic sensing and detection of mild cognitive impairment

Authors:

Netzahualcóyotl Hernández,

Temitayo OlugbadeAuthors Info & Claims

PETRA '14: Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments

Article No.: 67, Pages 1 - 2

https://doi.org/10.1145/2674396.2674424

Published: 27 May 2014 Publication History

Abstract

Dementia is a growing healthcare problem, and it has become necessary to find a way to reduce the prevalence of this disease. Mild cognitive impairment is a risk factor for dementia, and being able to detect the onset of mild cognitive impairment gives healthcare professionals the chance to reduce the effect of dementia on the society. In this paper, we propose a system that seeks to detect mild cognitive impairment in otherwise healthy persons. We are particularly interested in being able to gather data for monitoring without interfering with the subject's daily living.

References

[1]

World Health Organization. 2012. Dementia.

[2]

Gauthier, S., Reisberg, B., and Zaudig, M. et al. 2006. Mild Cognitive Impairment. The Lancet 367, 9518, 1262--1270.

[3]

Albert, M. S., Dekosky, S. T., Dickson, D. et al. 2011. The Diagnosis of Mild Cognitive Impairment due to Alzheimer's Disease. Alzheimer & Dementia 7, 3, 270--279.

[4]

Folstein, M. et al. 1975. Mini-Mental State. J. Psychiat. Res. 12, 3, 189--198.

[5]

Smith, T., Gildeh, N., and Holmes, C. 2007. The Montreal Cognitive Assessment: Validity and Utility in a Memory Clinic Setting. The Canadian J. Psychiatry 52, 5, 329--332.

[6]

Morley, J. E., and Tumosa, N. 2002. Saint Louis University Mental Status Examination. Aging Successfully 12, 1, 4.

[7]

Liu-Ambrose, T. et al. 2008. Increased Risk of Falling in Older Community-Dwelling Women with Mild Cognitive Impairment. Physical therapy 88, 12, 1482--1491.

[8]

Ladas, A. et al. 2013. Eye Blink Rate as a Biological Marker of Mild Cognitive Impairment. Int'l J. Psychophysiol.

[9]

Gabryelewicz, T., Styczynska, M., Pfeffer, A. et al. 2004. Prevalence of Major and Minor Depression in Elderly Persons with Mild Cognitive Impairment---MADRS Factor Analysis. Geriatric Psychiat. 19, 12, 1168--1172.

[10]

G. Sacco, V. Joumier, et al. 2012. Detection of activities of daily living impairment in Alzheimer's disease and mild cognitive impairment using information and communication technology. Clin. Interv. Aging, 7, 539--549.

[11]

P. Robert, E. Castelli, P. Chung et al. 2013. SWEET-HOME ICT technologies for the assessment of elderly subjects. IRBM, 34, 2, 186--190.

[12]

Doi T. et al. 2013. Cognitive activities and instrumental activity of daily living in older adults with mild cognitive impairment. Dement Geriatr Cogn Dis Extra 3, 1, 398--406.

[13]

France, D., Shiavi, R., Silverman, S. et al. 2000. Acoustical Properties of Speech as Indicators of Depression and Suicidal Risk. IEEE Trans. Biom. Eng. 47, 7, 829--837.

[14]

Possin K, Chester S et al. 2012. The Frontal-Anatomic Specificity of Design Fluency Repetitions and their Diagnostic Relevance for Behavioral Variant Frontotemporal Dementia. J. Int'l Neuropsychol. Soc. 18, 5, 834--844.

[15]

Culhane, K., O'Connor, M., Lyons D., and Lyons, G. 2005. Accelerometers in Rehabilitation Medicine for Older Adults. Age and Ageing. 34, 6, 556--560.

[16]

R. Mayagoitia, J. Lötters, P. Veltink et al. 2002. Standing balance evaluation using a triaxial accelerometer. Gait & Posture, 16, 1, 55--59.

[17]

Nasreddine, Z., Phillips, N., Bédirian, V. et al. 2005. The Montreal Cognitive Assessment. J. American Geriatrics Soc. 53, 4, 695--699.

Cited By

Chowdhury ABhattacharya SGhose AKrishnan B(2019)Early Detection of Mild Cognitive Impairment using Pervasive Sensing2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)10.1109/EMBC.2019.8856435(5456-5459)Online publication date: Jul-2019
https://doi.org/10.1109/EMBC.2019.8856435

Index Terms

Opportunistic sensing and detection of mild cognitive impairment
1. Applied computing
  1. Life and medical sciences
    1. Consumer health
    2. Health informatics
2. Computing methodologies
  1. Machine learning

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Published In

cover image ACM Other conferences

PETRA '14: Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments

May 2014

408 pages

ISBN:9781450327466

DOI:10.1145/2674396

Conference Chair:
Fillia Makedon
University of Texas at Arlington
,
Program Chairs:
Mark Clements
Georgia Institute of Technology
,
Catherine Pelachaud
TELECOM ParisTech, France
,
Vana Kalogeraki
Athens University of Economics and Bus
,
Ilias Maglogiannis
University of Piraeus, Greece

Copyright © 2014 ACM.

Permission to make digital or hard copies of all or part 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 components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

Sponsors

iPerform Center: iPerform Center for Assistive Technologies to Enhance Human Performance
CSE@UTA: Department of Computer Science and Engineering, The University of Texas at Arlington
HERACLEIA: HERACLEIA Human-Centered Computing Laboratory at UTA
U of Tex at Arlington: U of Tex at Arlington
NCRS: Demokritos National Center for Scientific Research
Fulbrigh, Greece: Fulbright Foundation, Greece

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 May 2014

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PETRA '14

Sponsor:

iPerform Center
CSE@UTA
HERACLEIA
U of Tex at Arlington
NCRS
Fulbrigh, Greece

PETRA '14: The 7th International Conference on PErvasive Technologies Related to Assistive Environments

May 27 - 30, 2014

Rhodes, Greece

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Cited By

Chowdhury ABhattacharya SGhose AKrishnan B(2019)Early Detection of Mild Cognitive Impairment using Pervasive Sensing2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)10.1109/EMBC.2019.8856435(5456-5459)Online publication date: Jul-2019
https://doi.org/10.1109/EMBC.2019.8856435

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