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Markerless motion analysis for early detection of infantile movement disorders

 
: Hesse, Nikolas; Schroeder, Sebastian; Müller-Felber, Wolfgang; Bodensteiner, Christoph; Arens, Michael; Hofmann, Ulrich G.

:

Eskola, H. ; International Federation for Medical and Biological Engineering -IFMBE-:
EMBEC & NBC 2017, Joint Conference of the European Medical and Biological Engineering Conference (EMBEC) and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics (NBC) : Tampere, Finland, June 2017
Singapore: Springer Singapore, 2017 (IFMBE proceedings 65)
ISBN: 978-981-10-5121-0 (Print)
ISBN: 978-981-10-5122-7 (Online)
S.197-200
European Medical and Biological Engineering Conference (EMBEC) <2017, Tampere>
Nordic-Baltic Conference on Biomedical Engineering and Medical Physics (NBC) <2017, Tampere>
Englisch
Konferenzbeitrag
Fraunhofer IOSB ()
motion analysis; infants; diagnostics

Abstract
The analysis of spontaneous movements provides valuable information for diagnosing infantile movement disorders. However, analysis is time-consuming and interpretation requires well-trained experts. We present an automated system that captures 3D joint positions and head rotation of infants without attached markers or sensors. We introduce motion parameters of head, trunk, upper and lower limbs of both body sides that are related to range, variability, and symmetry of motions and offer objective diagnostic information for assessment of motor behavior. We analyze 6 recordings of 5 infants who are at high-risk of impaired motor development, and show how the system highlights movement characteristics that hint at disorders.

: http://publica.fraunhofer.de/dokumente/N-452533.html