Ecological Assessment of Autonomy in Instrumental Activities of Daily Living in Dementia Patients by the means of an Automatic Video Monitoring System
Currently, the assessment of autonomy and functional ability involves clinical rating scales. However, scales are often limited in their ability to provide objective and sensitive information. In contrast, information and communication technologies may overcome these limitations by capturing more fu...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2015-06-01
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| Series: | Frontiers in Aging Neuroscience |
| Subjects: | |
| Online Access: | http://journal.frontiersin.org/Journal/10.3389/fnagi.2015.00098/full |
| _version_ | 1828485309956882432 |
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| author | Alexandra eKönig Alexandra eKönig Carlos eCrispim-Junior Alvaro eGomez Uria Covella Francois eBremond Alexandre eDerreumaux Gregory eBensadoun Renaud eDavid Frans eVerhey Pauline eAalten Philippe eRobert Philippe eRobert |
| author_facet | Alexandra eKönig Alexandra eKönig Carlos eCrispim-Junior Alvaro eGomez Uria Covella Francois eBremond Alexandre eDerreumaux Gregory eBensadoun Renaud eDavid Frans eVerhey Pauline eAalten Philippe eRobert Philippe eRobert |
| author_sort | Alexandra eKönig |
| collection | DOAJ |
| description | Currently, the assessment of autonomy and functional ability involves clinical rating scales. However, scales are often limited in their ability to provide objective and sensitive information. In contrast, information and communication technologies may overcome these limitations by capturing more fully the functional, as well as cognitive disturbances associated with Alzheimer disease (AD). We investigated the quantitative assessment of the autonomy of dementia patients based not only on gait analysis but also on the participant performance on Instrumental Activities of Daily Living (IADL) automatically recognized by a video event monitoring system (EMS). Three groups of participants (healthy controls, Mild Cognitive Impairment and AD patients) had to carry out a standardized scenario consisting of physical tasks (single and dual task) and several IADLs such as preparing a pillbox or making a phone call while being recorded. After, video sensor data was processed by an event monitoring system that automatically extracts kinematic parameters of the participants’ gait and recognizes their carried out activities. These parameters were then used for the assessment of the participants’ performance levels, here referred as autonomy. Autonomy assessment were approached as classification task using artificial intelligence methods that takes as input the parameters extracted by the event monitoring system, here referred as behavioral data. Activities were accurately recognized by the EMS with high precision. The most accurately recognized activities were: ‘prepare medication’ with 93% and ‘using phone’ with 89% precision. The diagnostic group classifier obtained a precision of 73.46% when combining the analyses of physical tasks with IADLs. In a further analysis, the created autonomy group classifier which obtained a precision of 83.67% when combining physical tasks and IADLs. Results suggest that it is possible to quantitatively assess IADL functioning supported by an EMS. |
| first_indexed | 2024-12-11T09:10:50Z |
| format | Article |
| id | doaj.art-f9190d55e042427c8c3d34a19f83f062 |
| institution | Directory Open Access Journal |
| issn | 1663-4365 |
| language | English |
| last_indexed | 2024-12-11T09:10:50Z |
| publishDate | 2015-06-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Aging Neuroscience |
| spelling | doaj.art-f9190d55e042427c8c3d34a19f83f0622022-12-22T01:13:30ZengFrontiers Media S.A.Frontiers in Aging Neuroscience1663-43652015-06-01710.3389/fnagi.2015.00098137420Ecological Assessment of Autonomy in Instrumental Activities of Daily Living in Dementia Patients by the means of an Automatic Video Monitoring SystemAlexandra eKönig0Alexandra eKönig1Carlos eCrispim-Junior2Alvaro eGomez Uria Covella3Francois eBremond4Alexandre eDerreumaux5Gregory eBensadoun6Renaud eDavid7Frans eVerhey8Pauline eAalten9Philippe eRobert10Philippe eRobert11EA CoBTek CHU de Nice - Université de Nice Sophia AntipolisAlzheimer Center Limburg, Maastricht University Medical CenterINRIAINRIAINRIAEA CoBTek CHU de Nice - Université de Nice Sophia AntipolisEA CoBTek CHU de Nice - Université de Nice Sophia AntipolisCentre Mémoire de Ressources et de Recherche, CHU de NiceAlzheimer Center Limburg, Maastricht University Medical CenterAlzheimer Center Limburg, Maastricht University Medical CenterEA CoBTek CHU de Nice - Université de Nice Sophia AntipolisCentre Mémoire de Ressources et de Recherche, CHU de NiceCurrently, the assessment of autonomy and functional ability involves clinical rating scales. However, scales are often limited in their ability to provide objective and sensitive information. In contrast, information and communication technologies may overcome these limitations by capturing more fully the functional, as well as cognitive disturbances associated with Alzheimer disease (AD). We investigated the quantitative assessment of the autonomy of dementia patients based not only on gait analysis but also on the participant performance on Instrumental Activities of Daily Living (IADL) automatically recognized by a video event monitoring system (EMS). Three groups of participants (healthy controls, Mild Cognitive Impairment and AD patients) had to carry out a standardized scenario consisting of physical tasks (single and dual task) and several IADLs such as preparing a pillbox or making a phone call while being recorded. After, video sensor data was processed by an event monitoring system that automatically extracts kinematic parameters of the participants’ gait and recognizes their carried out activities. These parameters were then used for the assessment of the participants’ performance levels, here referred as autonomy. Autonomy assessment were approached as classification task using artificial intelligence methods that takes as input the parameters extracted by the event monitoring system, here referred as behavioral data. Activities were accurately recognized by the EMS with high precision. The most accurately recognized activities were: ‘prepare medication’ with 93% and ‘using phone’ with 89% precision. The diagnostic group classifier obtained a precision of 73.46% when combining the analyses of physical tasks with IADLs. In a further analysis, the created autonomy group classifier which obtained a precision of 83.67% when combining physical tasks and IADLs. Results suggest that it is possible to quantitatively assess IADL functioning supported by an EMS.http://journal.frontiersin.org/Journal/10.3389/fnagi.2015.00098/fullDementiaMild Cognitive ImpairmentAlzheimerautonomyassessmentfunctionality |
| spellingShingle | Alexandra eKönig Alexandra eKönig Carlos eCrispim-Junior Alvaro eGomez Uria Covella Francois eBremond Alexandre eDerreumaux Gregory eBensadoun Renaud eDavid Frans eVerhey Pauline eAalten Philippe eRobert Philippe eRobert Ecological Assessment of Autonomy in Instrumental Activities of Daily Living in Dementia Patients by the means of an Automatic Video Monitoring System Frontiers in Aging Neuroscience Dementia Mild Cognitive Impairment Alzheimer autonomy assessment functionality |
| title | Ecological Assessment of Autonomy in Instrumental Activities of Daily Living in Dementia Patients by the means of an Automatic Video Monitoring System |
| title_full | Ecological Assessment of Autonomy in Instrumental Activities of Daily Living in Dementia Patients by the means of an Automatic Video Monitoring System |
| title_fullStr | Ecological Assessment of Autonomy in Instrumental Activities of Daily Living in Dementia Patients by the means of an Automatic Video Monitoring System |
| title_full_unstemmed | Ecological Assessment of Autonomy in Instrumental Activities of Daily Living in Dementia Patients by the means of an Automatic Video Monitoring System |
| title_short | Ecological Assessment of Autonomy in Instrumental Activities of Daily Living in Dementia Patients by the means of an Automatic Video Monitoring System |
| title_sort | ecological assessment of autonomy in instrumental activities of daily living in dementia patients by the means of an automatic video monitoring system |
| topic | Dementia Mild Cognitive Impairment Alzheimer autonomy assessment functionality |
| url | http://journal.frontiersin.org/Journal/10.3389/fnagi.2015.00098/full |
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