title: Temporal fluctuation analysis of tremor signal in Parkinson's disease and Essential tremor subjects.
abstract: Tremor is a common symptom shared in both Parkinson's disease (PD) and Essential tremor (ET) subjects. The differential diagnosis of PD and ET tremor is important since the treatment depends on specific medication. A novel feature was developed based on a hypothesis stating that the tremor of PD subject has a larger fluctuation while performing resting task than action task. Tremor signal was collected using a gyroscope sensor attached to subject's finger. The angular velocity signal was analyzed by transforming a one-dimensional to two-dimensional signal based on relation of different units of time-delay. The tremor fluctuation was defined as the area of 95% confidence ellipse covering the two-dimensional signal. Experimenting with 32 PD and 20 ET subjects, a ratio of fluctuation of resting to kinetic task can be a sensitive feature to discriminate PD from ET with 100% accuracy.
authors.forename: C
authors.initials: C
authors.lastname: Thanawattano
authors.forename: C
authors.initials: C
authors.lastname: Anan
authors.forename: R
authors.initials: R
authors.lastname: Pongthornseri
authors.forename: S
authors.initials: S
authors.lastname: Dumnin
authors.forename: R
authors.initials: R
authors.lastname: Bhidayasiri
mesh_terms: D061725:Accelerometry / Q000295:instrumentation / Q000379:methods; D000368:Aged; D016022:Case-Control Studies; D003937:Diagnosis, Differential; D020329:Essential Tremor / Q000175:diagnosis* / Q000503:physiopathology; D005260:Female; D005385:Fingers; D006801:Humans; D008297:Male; D008875:Middle Aged; D010300:Parkinson Disease / Q000175:diagnosis* / Q000503:physiopathology*; D012815:Signal Processing, Computer-Assisted; D014202:Tremor / Q000175:diagnosis / Q000503:physiopathology