logo Idiap Research Institute        
 [BibTeX] [Marc21]
A Sensor-Driven Visit Detection System in Older Adults? Homes: Towards Digital Late-Life Depression Marker Extraction
Type of publication: Journal paper
Citation: Schutz_IEEEJ-BHI_2021
Publication status: Published
Journal: IEEE Journal of Biomedical And Health Informatics
Volume: 26
Number: 4
Year: 2021
Month: September
Pages: 1560-1569
ISSN: 2168-2194 2168-2208
URL: https://ieeexplore.ieee.org/do...
DOI: 10.1109/JBHI.2021.3114595
Abstract: 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 (rho = -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.
Keywords: classifiers, digital biomarker, domain adaptation, late-life depression, loneliness, pervasive computing, self-training, support, telemonitoring
Projects Idiap
Authors Schütz, Narayan
Botros, Angela
Hassen, Sami Ben
Saner, Hugo
Buluschek, Philipp
Urwyler, Prabitha
Pais, Bruno
Santschi, Valérie
Gatica-Perez, Daniel
Müri, René M.
Nef, Tobias
Added by: [UNK]
Total mark: 0
  • Schutz_IEEEJ-BHI_2021.pdf