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Article

A French–Greek Cross-Site Comparison Study of the Use of Automatic Video Analyses for the Assessment of Autonomy in Dementia Patients

1
Information Technologies Institute, Centre for Research and Technology Hellas (CERTH-ITI), 57001 Thessaloniki, Greece
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EA CoBTeK, University of Nice Sophia Antipolis, 06100 Nice, France
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Centre Mémoire de Ressources et de Recherche, CHU de Nice, 06100 Nice, France
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INRIA-STARS Team-Sophia Antipolis, CEDEX, 06902 Sophia Antipolis, France
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1st Department of Neurology, Medical School, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
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Greek Association of Alzheimer’s Disease and Related Disorders, 54643 Thessaloniki, Greece
*
Author to whom correspondence should be addressed.
Biosensors 2020, 10(9), 103; https://doi.org/10.3390/bios10090103
Received: 13 July 2020 / Revised: 11 August 2020 / Accepted: 17 August 2020 / Published: 21 August 2020
(This article belongs to the Special Issue Mobile and Wearable Systems for Smarthealth)
Background: At present, the assessment of autonomy in daily living activities, one of the key symptoms in Alzheimer’s disease (AD), involves clinical rating scales. Methods: In total, 109 participants were included. In particular, 11 participants during a pre-test in Nice, France, and 98 participants (27 AD, 38 mild cognitive impairment—MCI—and 33 healthy controls—HC) in Thessaloniki, Greece, carried out a standardized scenario consisting of several instrumental activities of daily living (IADLs), such as making a phone call or preparing a pillbox while being recorded. Data were processed by a platform of video signal analysis in order to extract kinematic parameters, detecting activities undertaken by the participant. Results: The video analysis data can be used to assess IADL task quality and provide clinicians with objective measurements of the patients’ performance. Furthermore, it reveals that the HC statistically significantly outperformed the MCI, which had better performance compared to the AD participants. Conclusions: Accurate activity recognition data for the analyses of the performance on IADL activities were obtained. View Full-Text
Keywords: smart home; dementia; ambient assisted living; assistive technology; sensors; remote monitoring smart home; dementia; ambient assisted living; assistive technology; sensors; remote monitoring
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MDPI and ACS Style

Karakostas, A.; König, A.; Crispim-Junior, C.F.; Bremond, F.; Derreumaux, A.; Lazarou, I.; Kompatsiaris, I.; Tsolaki, M.; Robert, P. A French–Greek Cross-Site Comparison Study of the Use of Automatic Video Analyses for the Assessment of Autonomy in Dementia Patients. Biosensors 2020, 10, 103. https://doi.org/10.3390/bios10090103

AMA Style

Karakostas A, König A, Crispim-Junior CF, Bremond F, Derreumaux A, Lazarou I, Kompatsiaris I, Tsolaki M, Robert P. A French–Greek Cross-Site Comparison Study of the Use of Automatic Video Analyses for the Assessment of Autonomy in Dementia Patients. Biosensors. 2020; 10(9):103. https://doi.org/10.3390/bios10090103

Chicago/Turabian Style

Karakostas, Anastasios, Alexandra König, Carlos F. Crispim-Junior, François Bremond, Alexandre Derreumaux, Ioulietta Lazarou, Ioannis Kompatsiaris, Magda Tsolaki, and Philippe Robert. 2020. "A French–Greek Cross-Site Comparison Study of the Use of Automatic Video Analyses for the Assessment of Autonomy in Dementia Patients" Biosensors 10, no. 9: 103. https://doi.org/10.3390/bios10090103

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