Wearable Based Calibration of Contactless In-home Motion Sensors for Physical Activity Monitoring in Community-Dwelling Older Adults

Schütz, Narayan; Saner, Hugo; Botros, Angela; Buluschek, Philipp; Urwyler, Prabitha; Müri, René M.; Nef, Tobias (2021). Wearable Based Calibration of Contactless In-home Motion Sensors for Physical Activity Monitoring in Community-Dwelling Older Adults. Frontiers in Digital Health, 2, p. 566595. 10.3389/fdgth.2020.566595

[img]
Preview
Text
Schutz__2020__Wearable_sensors.pdf - Published Version
Available under License Creative Commons: Attribution (CC-BY).

Download (1MB) | Preview

Passive infrared motion sensors are commonly used in telemonitoring applications to
monitor older community-dwelling adults at risk. One possible use case is quantification
of in-home physical activity, a key factor and potential digital biomarker for healthy
and independent aging. A major disadvantage of passive infrared sensors is their lack
of performance and comparability in physical activity quantification. In this work, we
calibrate passive infrared motion sensors for in-home physical activity quantification with
simultaneously acquired data from wearable accelerometers and use the data to find
a suitable correlation between in-home and out-of-home physical activity. We use data
from 20 community-dwelling older adults that were simultaneously provided with wireless
passive infrared motion sensors in their homes, and a wearable accelerometer for at
least 60 days. We applied multiple calibration algorithms and evaluated results based on
several statistical and clinical metrics. We found that using even relatively small amounts
of wearable based ground-truth data over 7–14 days, passive infrared based wireless
sensor systems can be calibrated to give largely better estimates of older adults’ daily
physical activity. This increase in performance translates directly to stronger correlations
of measured physical activity levels with a variety of age relevant health indicators and
outcomes known to be associated with physical activity.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Department of Head Organs and Neurology (DKNS) > Clinic of Neurology
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; Saner, Hugo Ernst; Botros, Angela Amira; Urwyler-Harischandra, Prabitha; Müri, René Martin and Nef, Tobias

Subjects:

500 Science > 570 Life sciences; biology
600 Technology > 610 Medicine & health
600 Technology > 620 Engineering

ISSN:

2673-253X

Language:

English

Submitter:

Aileen Näf

Date Deposited:

15 Nov 2021 15:15

Last Modified:

15 Nov 2021 15:15

Publisher DOI:

10.3389/fdgth.2020.566595

PubMed ID:

34713038

BORIS DOI:

10.48350/160766

URI:

https://boris.unibe.ch/id/eprint/160766

Actions (login required)

Edit item Edit item
Provide Feedback