Öppna denna publikation i ny flik eller fönster >>2012 (Engelska)Ingår i: BIOSIGNALS 2012 - Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing, [S. l.]: SciTePress, 2012, s. 180-188Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]
Gait analysis (GA) is an important tool in the assessment of several physical and cognitive conditions. The lack of simple and economically viable quantitative GA systems has hindered the routine clinical use of GA in many areas. As a result, patients may be receiving sub-optimal treatment. The present study introduces and evaluates measures of gait symmetry and gait normality calculated from inertial sensor data. These indices support the creation of mobile, cheap and easy to use quantitative GA systems. The proposed method was compared to measures of symmetry and normality derived from 3D kinematic data. Results show that the proposed method is well correlated to the kinematic analysis in both symmetry (r=0.84, p<0.0001) and normality (r=0.81, p<0.0001). In addition, the proposed indices can be used to classify normal from abnormal gait.
Ort, förlag, år, upplaga, sidor
[S. l.]: SciTePress, 2012
Nyckelord
gait analysis, symmetry, normality, motion capture, inertial sensors
Nationell ämneskategori
Annan medicinteknik
Identifikatorer
urn:nbn:se:hh:diva-17517 (URN)2-s2.0-84861964337 (Scopus ID)9789898425898 (ISBN)
Konferens
International Conference on Bio-inspired Systems and Signal Processing, BIOSIGNALS 2012, Vilamoura, Algarve, 1-4 February, 2012
Projekt
AccelGait
Anmärkning
Partially funded by the PromobiliaFoundation and the Institute of Health and Care Sci-ences, Sahlgrenska Academy, University of Gothen-burg, Sweden.
2012-04-182012-04-172017-04-21Bibliografiskt granskad