@article {221,
	title = {Validation of a new tool for automatic assessment of tremor frequency from video recordings},
	journal = {Journal of Neuroscience Methods},
	volume = {198},
	year = {2011},
	month = {May},
	pages = {110-113},
	publisher = {Elsevier},
	abstract = {<p>We present a validation study for TremAn{\textemdash}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{\textendash}Tolosa{\textendash}Marin scale. 26 patients with essential tremor and 5  healthy volunteers underwent the examination in four standardized  positions with focus on the hand tremor. Results showed that the  frequencies of tremor measured with TremAn and with accelerometry are  closely related, attaining agreement with less than 0.1\&$\#$160;Hz difference in  80\% and less than 0.5\&$\#$160;Hz in 94\% of measured samples. The  reproducibility of frequency measurements using TremAn was comparable to  the accelerometry, with the TremAn/accelerometry ratio of measurement  error standard deviations equal to 0.99 (95\% confidence interval (0.84,  1.17)).</p>},
	doi = {j.jneumeth.2011.02.033},
	url = {http://dx.doi.org/10.1016/j.jneumeth.2011.02.033},
	author = {Zdenka Uhr{\'\i}kov{\'a} and {\v S}prdl{\'\i}k, Otakar and Hoskovcov{\'a}, Martina and Arno{\v s}t Kom{\'a}rek and Ulmanov{\'a}, Olga and V{\'a}clav Hlav{\'a}{\v c} and Chris D. Nugent and R{\r u}{\v z}i{\v c}ka, Ev{\v z}en}
}