id: 06067353
dt: a
an: 06067353
au: Merilahti, Juho; Pärkkä, Juha; Korhonen, Ilkka
ti: Estimating older people’s physical functioning with automated health
    monitoring technologies at home: feature correlations and multivariate
    analysis.
so: Rautiainen, Mika (ed.) et al., Grid and pervasive computing workshops.
    International workshops, S3E, HWTS, doctoral colloquium, held in
    conjunction with GPC 2011, Oulu, Finland, May 11‒13, 2011. Revised
    selected papers. Berlin: Springer (ISBN 978-3-642-27915-7/pbk). Lecture
    Notes in Computer Science 7096, 94-104 (2012).
py: 2012
pu: Berlin: Springer
la: EN
cc: 
ut: physical functioning; actigraphy; bed sensor; pedometer; weight scale;
    blood pressure monitor
ci: 
li: doi:10.1007/978-3-642-27916-4_11
ab: Summary: As person’s functional capacity determines partly one’s
    independency and quality of life, it should be observed and monitored.
    We calculated different features from actigraphy, bed sensor,
    pedometer, weight scale and blood pressure monitor over time period
    varying between one and two weeks. These features’ connections to
    typical functional capacity tests such as ADL, balance and muscle
    strength were studied. No single feature was connected to all the
    functioning measures which again suggest importance of screening
    multiple health data sources. Created multivariate model to estimate
    holistic functional status has statistically significant correlation
    with ADL and two lower limb muscle strength tests, and almost
    statistically significant correlation with balance and walk tests.
rv: