An intelligent video-monitoring system to detect responsive behaviours associated with Alzheimer's disease and related disorders.
Background Responsive behaviours affect 90% of older adults with Alzheimer's disease and related disorders. They have significant consequences including decreased functional independence and quality of life for older adults living in long-term care facilities. An intelligent video-monitoring system...
| Publicado en: | Gerontechnology Vol. 19; no. 1; pp. 28 - 42 |
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| Autores principales: | , , , , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
International Society for Gerontechnology
2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=144595822&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 144595822 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15691101 904R jtl: Gerontechnology issn: 15691101 maglogo: N pubinfo: dt: 2020 vid: 19 iid: 1 pid: 54298 pub: International Society for Gerontechnology artinfo: ui: 144595822 144595822 144595822 10.4017/gt.2020.19.1.004.00 144595822 ppf: 28 ppct: 14 formats: tig: atl: An intelligent video-monitoring system to detect responsive behaviours associated with Alzheimer's disease and related disorders. aug: au: Tran, Nathalie Lapierre, Nolwenn Meunier, Jean St-Arnaud, Alain Sit, Céline Bourbonnais, Anne Rousseau, Jacqueline affil: School of Rehabilitation, Faculty of Medicine, Université de Montréal, Site Pavillon Parc. C.P. 6128 Centre-ville, Montréal, Québec H3C 3J7, Canada sug: subj: Alzheimer's Disease Videorecording Utilization Behavior Evaluation Technology Utilization Gerontologic Care Monitoring, Physiologic Human Students, Occupational Therapy Simulations Laboratories Geriatrics Sensitivity and Specificity Long Term Care Diffusion of Innovation Qualitative Studies Quantitative Studies ab: Background Responsive behaviours affect 90% of older adults with Alzheimer's disease and related disorders. They have significant consequences including decreased functional independence and quality of life for older adults living in long-term care facilities. An intelligent video-monitoring system (IVS) is being developed to detect responsive behaviours, document their causes and alert health-care professionals to ensure immediate intervention. Purpose To test the IVS's efficacy for responsive behaviour detection. Methods Two occupational therapy students completed a simulation study in an apartment-laboratory under the supervision of experts in gerontology (clinicians, researchers). Four responsive behaviours (aggressiveness, apathy, motor behaviours, vocal behaviours) were realistically replicated across six scenarios, and five were repeated under three different luminosity conditions (total: 16 scenarios). The IVS detects responsive behaviours based on unusual movements or screaming in a specific location. To assess its detection capacity, the scenarios were divided into actions to record true and false positives (TP, FP), and true and false negatives (TN, FN). Sensitivity and specificity were then calculated. The quality of sound, images, and alerts was also analysed. Findings Seventeen TP, two FP, 42 TN, and three FN were recorded, generating an overall sensitivity of 85% and specificity of 95%. Sensitivity and specificity of 100% were obtained for apathy and aggressiveness scenarios. Motor behaviour scenarios achieved a sensitivity of 75% and specificity of 84%, and verbal behaviour scenarios obtained a sensitivity of 50% and specificity of 100%. With this IVS, the quality of the images was satisfactory, but the sound recording was poor. Alerts were received on average 32.4 seconds after detection. Discussion The IVS is an innovative technology that can contribute to responsive behaviour management by immediately detecting such behaviours and helping identify their causes (by recording the previous 30 seconds). These results validate the IVS's potential for responsive behaviour detection before its use is explored in real contexts. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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