Detecting Activities of Daily Living and Routine Behaviours in Dementia Patients Living Alone Using Smart Meter Load Disaggregation
نویسندگان
چکیده
The emergence of an ageing population is a significant public health concern. This has led to increase in the number people living with progressive neurodegenerative disorders. strain this places on services means providing 24-hour monitoring not sustainable. No solution exists non-intrusively monitor wellbeing patients dementia, resulting delayed intervention. Using machine learning and signal processing, domestic energy supplies can be disaggregated detect appliance usage. enables Activities Daily Living (ADLs) assessed. aim facilitate early intervention enable stay their homes for longer. A Support Vector Machine (SVM) Random Decision Forest classifier are modelled using data from three test homes. trained models then used two dementia during six-month clinical trial undertaken partnership Mersey Care NHS Foundation Trust. In case load disaggregation, SVM achieved (AUC = 0.86074, Sen 0.756 Spec 0.92838). While 0.9429, 0.9634 0.9634). ADLs also analysed identify behavioural patterns occupant while detecting alterations routine. approach sensitive identifying routines anomalies patient behaviour.
منابع مشابه
Health Promotion Behaviours and Level of Activities of Daily Living and Instrumental Activities of Daily Living Among Elderly People in West Region of Tehran: A Cross-Sectional Survey
Objectives: As individuals live longer, health promotion behaviors get even more important, particularly with regard to maintaining functional independence and improving quality of life. The purpose of this study was to explore the relationship between health promotion behaviors and level of Activities of Daily Living (ADL) and Instrumental Activities of Daily Living (IADL) among elderly people...
متن کاملValidity and Reliability of the Persian Version of Lawton Instru-mental Activities of Daily Living Scale in Patients with Dementia
متن کامل
Status of Daily Living Activities among Older People in Maku
Introduction: One of the most popular methods for evaluating old people’s health condition is to assess their functional practice. The aim of this study was to assess the status of daily living activities among the older people of Maku, Iran. Methods: The present cross-sectional study was accomplished among 216 older people in Maku via simple random sampling. Participant’s subj...
متن کاملRecognizing and Discovering Activities of Daily Living in Smart Environments
Identifying human activities is a key task for the development of advanced and effective ubiquitous applications in fields like Ambient Assisted Living. Depending on the availability of labeled data, recognition methods can be categorized as either supervised or unsupervised. Designing a comprehensive activity recognition system that works on a real-world setting is extremely challenging becaus...
متن کاملInference of Hygiene Behaviours While Recognising Activities of Daily Living
Many health problems are generally caused by unhealthy behaviours that occur whilst conducting everyday Activities of Daily Living (ADL), such as poor use of sanitation and hygiene. This paper describes the development of an ADL inference engine, which is able to recognise natural hygiene behaviour patterns. As opposed to traditional ADL classification approaches, the developed inference engine...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Emerging Topics in Computing
سال: 2022
ISSN: ['2168-6750', '2376-4562']
DOI: https://doi.org/10.1109/tetc.2020.2993177