Otakar Sprdlík

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This paper focuses on tremor frequency analysis from the video sequence. In order to analyse the video data, the signal needs to be extracted from the video using the intensity change of the local area in time. Next, the power spectral density is used for the frequency estimate from the signal. Finally the results obtained from the video are compared with(More)
We present a validation study for TremAn--a tool for automatic detection of tremor and measurement of its frequency from video recordings. To assess the validity of TremAn we designed a study consisting of tremor assessment from video, by accelerometry and by clinical evaluation using Fahn-Tolosa-Marin scale. 26 patients with essential tremor and 5 healthy(More)
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