Results of using a wireless inertial measurirlg system to quantify gait motions in control subjects

Authors:
Iris Tien;Steven D. Glaser;Ruzena Bajcsy;Douglas S. Goodin;Michael J. Aminoff
Affiliations:
Center for Information Technology Research in the Interest of Society, University of California, Berkeley, CA;Center for Information Technology Research in the Interest of Society, University of California, Berkeley, CA and Intel Berkeley Laboratory, Berkeley, CA and Energy Resources Department, Lawrence ...;Electrical Engineering and Computer Sciences Department, University of California, Berkeley, CA;Neurology Department, University of California, San Francisco, CA;Neurology Department, University of California, San Francisco, CA
Venue:
IEEE Transactions on Information Technology in Biomedicine
Year:
2010

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Abstract

Gait analysis is important for the diagnosis of many neurological diseases such as Parkinson's. The discovery and interpretation of minor gait abnormalities can aid in early diagnosis. We have used an inertial measuring system mounted on the subject's foot to provide numerical measures of a subject's gait (3-D displacements and rotations), thereby creating an automated tool intended to facilitate diagnosis and enable quantitative prognostication of various neurological disorders in which gait is disturbed. This paper describes the process used for ensuring that these inertial measurement units yield accurate and reliable displacement and rotation data, and for validating the preciseness and robustness of the gait-deconstruction algorithms. It also presents initial results from control subjects, focusing on understanding the data recorded by the shoe-mounted sensor to quantify relevant gait-related motions.