Clinical Research Directory

Assessing Cognitive Decline at Home

Sponsor: Stanford University

Summary

Neuropsychiatric symptoms (NPS) refer to a range of mental and emotional issues that can be observed through how patients move, perform daily tasks, and express feelings on their faces. In this study, the investigators want to find ways to accurately and unobtrusively track these symptoms in people's homes over time. Our goals are to note when these symptoms happen, predict potential problems, and gather clear data to help doctors make accurate diagnoses. To do this, the investigators will first collect information from participants who have in-home sensors. the investigators will then use special computer programs that can recognize everyday activities and identify features that connect to scores from the Mild Behavioral Impairment Checklist (MBI-C). These scores will be compared to a questionnaire (NPIQ) filled out by caregivers or family members, along with any relevant information from doctors about the patients' symptoms. The investigators aim to see how these features can help differentiate between types of NPS, such as mood changes and agitation. Finally, the investigators will create a dashboard for doctors that summarizes the patterns of these symptoms in patients, making it easier to monitor and manage their mental health.

Official title: Automatic Assessment of Neuropsychiatric Symptoms at Home Predictive of Mental Health and Cognitive Disorders Using Non-Intrusive Ambient Intelligence Technologies

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