Development and Validation of a Mobile Gait Analysis System Providing Clinically Relevant Target Parameters in Parkinson’s Disease
Abstract
In 1817 James Parkinson described in his Essay on the Shaking Palsy that impaired gait is one of the most important symptoms in Parkinson’s disease (PD): "Walking becomes a task which cannot be performed without considerable attention. The legs are not raised to that height, or with that promptitude which the will directs,...". Gait disorders still play an important role in PD since the diagnosis, the staging of the disease level, and also the assessment of therapeutic outcomes are based mainly on the rating of movement impairments. The state-of-the-art scores and scales to rate PD are based solely on subjective assessment of movement disorder specialists. A more objective rating of disease related impairments is therefore an urgent need to support clinical decision making. In this thesis the development of a mobile and unobtrusive system to rate gait impairments with wearable sensors is described. An inertial measurement system was used to provide standard gait parameters and a scoring that rates PD related gait impairments. This system supplies physicians and therapists of movement disorders with objective and complementary data and consequently improves clinical decision making.
Keywords
Instrumented Gait Score; Ganganalyse; Classification; Parkinsonismus; Bewegungsstörung; Beschleunigungssensor; Inertial Sensors; Machine learning; UPDRSDOI
10.25593/978-3-96147-083-9ISBN
9783961470839, 9783961470839, 9783961470822Publisher
FAU University PressPublisher website
https://www.university-press.fau.de/Publication date and place
Erlangen, 2018Series
FAU Studien aus der Informatik, 3Classification
Technology, Engineering, Agriculture, Industrial processes
Computing and Information Technology


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