A Sensor-Driven Visit Detection System in Older Adults Homes: Towards Digital Late-Life Depression Marker Extraction

Schütz, Narayan; Botros, Angela Amira; Ben Hassen, Sami; Saner, Hugo Ernst; Buluschek, Philipp; Urwyler, Prabitha; Pais, Bruno; Santschi, Valerie; Gatica-Perez, Daniel; Müri, René M.; Nef, Tobias (2021). A Sensor-Driven Visit Detection System in Older Adults Homes: Towards Digital Late-Life Depression Marker Extraction. IEEE Journal of Biomedical and Health Informatics, PP IEEE 10.1109/JBHI.2021.3114595

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Modern sensor technology is increasingly used in older adults to not only provide additional safety but also to monitor health status, often by means of sensor derived digital measures or biomarkers. Social isolation is a known risk factor for late-life depression, and a potential component of social-isolation is the lack of home visits. Therefore, home visits may serve as a digital measure for social isolation and late-life depression. Late-life depression is a common mental and emotional disorder in the growing population of older adults. The disorder, if untreated, can significantly decrease quality of life and, amongst other effects, leads to increased mortality. Late-life depression often goes undiagnosed due to associated stigma and the incorrect assumption that it is a normal part of ageing. In this work, we propose a visit detection system that generalizes well to previously unseen apartments - which may differ largely in layout, sensor placement, and size from apartments found in the semi-annotated training dataset. We find that by using a self-training-based domain adaptation strategy, a robust system to extract home visit information can be built (ROC AUC=0.773). We further show that the resulting visit information correlates well with the common geriatric depression scale screening tool (=-0.87, p=0.001), providing further support for the idea of utilizing the extracted information as a potential digital measure or even as a digital biomarker to monitor the risk of late-life depression.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Department of Head Organs and Neurology (DKNS) > Clinic of Neurology
04 Faculty of Medicine > Department of Cardiovascular Disorders (DHGE) > Clinic of Cardiology
04 Faculty of Medicine > Pre-clinic Human Medicine > BioMedical Research (DBMR) > DCR Unit Sahli Building > Forschungsgruppe Neurologie
10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research
10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research > ARTORG Center - Gerontechnology and Rehabilitation

Graduate School:

Graduate School for Cellular and Biomedical Sciences (GCB)

UniBE Contributor:

Schütz, Narayan; Botros, Angela Amira; Ben Hassen, Sami; Saner, Hugo Ernst; Buluschek, Philipp; Urwyler-Harischandra, Prabitha; Müri, René Martin and Nef, Tobias

Subjects:

600 Technology > 610 Medicine & health
300 Social sciences, sociology & anthropology > 360 Social problems & social services
500 Science > 570 Life sciences; biology
600 Technology > 620 Engineering

ISSN:

2168-2194

Publisher:

IEEE

Funders:

Organisations 17662 not found.

Language:

English

Submitter:

Aileen Näf

Date Deposited:

14 Oct 2021 16:10

Last Modified:

14 Oct 2021 16:11

Publisher DOI:

10.1109/JBHI.2021.3114595

PubMed ID:

34550895

BORIS DOI:

10.48350/159680

URI:

https://boris.unibe.ch/id/eprint/159680

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