SINEW
Sensors IN-home for Elder Wellbeing
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Introduction
Introduction
Background
Mild cognitive impairment (MCI) is a critical early stage between normal aging and more permanent cognitive health declines e.g. dementia or Alzheimer's.
The Well-Being of the Singapore Elderly (WiSE) study: 10 seniors aged >60 have dementia. Soaring cases of 80,000 Singaporeans with dementia in 2017, expected to more than double to 150,000 by 2030*.
Ineffective traditional methods for detection and intervention of MCI e.g. clinical visits, lab-based screening, incidental/sporadic examination
subtle but significant signs of MCI may be missed
their intrusive nature can be uncomfortable to some.
A more effective contemporary solution for early detection and intervention of MCI
continuously monitor the individuals' daily behaviors and routines right in their own home
enable timely identification and personalized intervention of MCI.
Sensors In-Home for Elder Wellbeing (SINEW) Project
First in Asia large scale longitudinal study in monitoring senior adults' daily routines
To assess their cognitive health (MCI condition)
Joint study led by Sengkang General Hospital led by Assoc Prof Iris Rawtaer, and Singapore Management University (SMU) led by Prof Ah-Hwee Tan
Conducted since 2020, recruited over 200 seniors (> 65 years old) who live alone in their homes to participate in the study
Leveraging non-intrusive in-home ambient sensor devices, wearables, and artificial intelligence (AI) to acquire the data, extract digital biomarkers, and predict the participants' cognitive health status supporting diagnoses for MCI and planning for the right intervention
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