Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Conversational AI System for Enhancing Autonomy in Individuals with Alzheimer's Disease
1
Zitationen
4
Autoren
2024
Jahr
Abstract
Alzheimer's disease manifests as cognitive decline, memory loss, and impaired decision-making, hindering daily tasks and independence. Memory decline includes forgetfulness of recent events, name recall, and spatial disorientation, compounded by communication impairments and difficulty in social interaction. Routine tasks become burdensome, and compromised judgment raises safety concerns. Technology advancements, such as cognitive assistive technologies and smart home systems, aid memory, cognition, and safety. The proposed conversational AI system integrates NLP, IoT sensors, and Blockchain to provide intuitive communication, real-time monitoring, secure data management, and personalized memory-stimulating activities. This system facilitates remote patient monitoring, collaboration with caregivers, and timely interventions, promising autonomy and improved well-being for Alzheimer's patients.
Ähnliche Arbeiten
The Pittsburgh sleep quality index: A new instrument for psychiatric practice and research
1989 · 33.682 Zit.
Clinical diagnosis of Alzheimer's disease
1984 · 27.895 Zit.
The Montreal Cognitive Assessment, MoCA: A Brief Screening Tool For Mild Cognitive Impairment
2005 · 24.564 Zit.
Special Care Units and Traditional Care in Dementia: Relationship with Behavior, Cognition, Functional Status and Quality of Life - A Review
2013 · 20.643 Zit.
The diagnosis of dementia due to Alzheimer's disease: Recommendations from the National Institute on Aging‐Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease
2011 · 18.504 Zit.