In order to fully capture the complexity of the behavioural, functioning and cognitive disturbances in Alzheimer Disease (AD) and related disorders information and communication techniques (ICT), could be of interest. This article presents using 3 clinical cases the feasibility results of an automatic video monitoring system aiming to assess subjects involved in a clinical scenario. METHOD AND POPULATION: The study was conducted in an observation room equipped with everyday objects for use in activities of daily living. The overall aim of the clinical scenario was to enable the participants to undertake a set of daily tasks that could realistically be achieved in the setting of the observation room. The scenario was divided in three steps covering basic to more complex activities: (1) Directed activities, (2) Semi-directed activities, (3) Undirected ("free") activities. The assessment of each participant of the study was done with an automatic video monitoring system composed of a vision component and an event recognition component. The feasibility study involved three participants: two AD patients and one elderly control participant. RESULTS: The first result of the study was to demonstrate the feasibility of this new assessment method from both the patient and the technical points of view. During the first step the control participant performed all these activities faster than the two AD participants. During the second step of the scenario AD participants were not able to follow the correct order of the tasks and even omitted some of them. Finally during the last step of the scenario devoted to free activities the control participant chose one of the proposed activities (reading) and undertook this activity for almost the entire duration. In contrast, the two AD participants had more difficulties choosing one of the suggested activities and were not able to undertake any one activity in a sustained manner. DISCUSSION: The automatic video monitoring system presented here analyzes human behaviours and looks for changes in activity through the detection of the presence of people and their movements in real time. Once the technique has been standardized, it could significantly enhance the assessment of AD patients in both clinical and clinical trial settings as well as providing further information regarding patient frailty that could enhance their safety and ease caregiver burden.
In order to fully capture the complexity of the behavioural, functioning and cognitive disturbances in Alzheimer Disease (AD) and related disorders information and communication techniques (ICT), could be of interest. This article presents using 3 clinical cases the feasibility results of an automatic video monitoring system aiming to assess subjects involved in a clinical scenario. METHOD AND POPULATION: The study was conducted in an observation room equipped with everyday objects for use in activities of daily living. The overall aim of the clinical scenario was to enable the participants to undertake a set of daily tasks that could realistically be achieved in the setting of the observation room. The scenario was divided in three steps covering basic to more complex activities: (1) Directed activities, (2) Semi-directed activities, (3) Undirected ("free") activities. The assessment of each participant of the study was done with an automatic video monitoring system composed of a vision component and an event recognition component. The feasibility study involved three participants: two AD patients and one elderly control participant. RESULTS: The first result of the study was to demonstrate the feasibility of this new assessment method from both the patient and the technical points of view. During the first step the control participant performed all these activities faster than the two AD participants. During the second step of the scenario AD participants were not able to follow the correct order of the tasks and even omitted some of them. Finally during the last step of the scenario devoted to free activities the control participant chose one of the proposed activities (reading) and undertook this activity for almost the entire duration. In contrast, the two AD participants had more difficulties choosing one of the suggested activities and were not able to undertake any one activity in a sustained manner. DISCUSSION: The automatic video monitoring system presented here analyzes human behaviours and looks for changes in activity through the detection of the presence of people and their movements in real time. Once the technique has been standardized, it could significantly enhance the assessment of AD patients in both clinical and clinical trial settings as well as providing further information regarding patient frailty that could enhance their safety and ease caregiver burden.
Authors: P H Robert; S Clairet; M Benoit; J Koutaich; C Bertogliati; O Tible; H Caci; M Borg; P Brocker; P Bedoucha Journal: Int J Geriatr Psychiatry Date: 2002-12 Impact factor: 3.485
Authors: P H Robert; A Konig; S Andrieu; F Bremond; I Chemin; P C Chung; J F Dartigues; B Dubois; G Feutren; R Guillemaud; P A Kenisberg; S Nave; B Vellas; F Verhey; J Yesavage; P Mallea Journal: J Nutr Health Aging Date: 2013 Impact factor: 4.075
Authors: Peter Novitzky; Alan F Smeaton; Cynthia Chen; Kate Irving; Tim Jacquemard; Fiachra O'Brolcháin; Dónal O'Mathúna; Bert Gordijn Journal: Sci Eng Ethics Date: 2014-06-19 Impact factor: 3.525
Authors: Alexandra König; Carlos Fernando Crispim-Junior; Alvaro Gomez Uria Covella; Francois Bremond; Alexandre Derreumaux; Gregory Bensadoun; Renaud David; Frans Verhey; Pauline Aalten; Philippe Robert Journal: Front Aging Neurosci Date: 2015-06-02 Impact factor: 5.750