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<bibitem type="J">   <ARLID>0359324</ARLID> <utime>20240111140755.6</utime><mtime>20110505235959.9</mtime>   <WOS>000291142600016</WOS>  <DOI>10.1016/j.jneumeth.2011.02.033</DOI>           <title language="eng" primary="1">Validation of a new tool for automatic assessment of tremor frequency from video recordings</title>  <specification> <page_count>4 s.</page_count> </specification>   <serial><ARLID>cav_un_epca*0257055</ARLID><ISSN>0165-0270</ISSN><title>Journal of Neuroscience Methods</title><part_num/><part_title/><volume_id>198</volume_id><volume>1 (2011)</volume><page_num>110-113</page_num><publisher><place/><name>Elsevier</name><year/></publisher></serial>    <keyword>Tremor frequency</keyword>   <keyword>essential tremor</keyword>   <keyword>video analysis</keyword>   <keyword>Fourier transformation</keyword>   <keyword>accelerometry</keyword>    <author primary="1"> <ARLID>cav_un_auth*0271850</ARLID> <name1>Uhríková</name1> <name2>Z.</name2> <country>CZ</country>  </author> <author primary="0"> <ARLID>cav_un_auth*0228408</ARLID> <name1>Šprdlík</name1> <name2>Otakar</name2> <full_dept language="cz">Teorie řízení</full_dept> <full_dept>Department of Control Theory </full_dept> <department language="cz">TŘ</department> <department>TR</department> <institution>UTIA-B</institution>  <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author> <author primary="0"> <ARLID>cav_un_auth*0255917</ARLID> <name1>Hoskovcová</name1> <name2>M.</name2> <country>CZ</country>  </author> <author primary="0"> <ARLID>cav_un_auth*0284142</ARLID> <name1>Komárek</name1> <name2>A.</name2> <country>CZ</country>  </author> <author primary="0"> <ARLID>cav_un_auth*0271852</ARLID> <name1>Ulmanová</name1> <name2>O.</name2> <country>CZ</country>  </author> <author primary="0"> <ARLID>cav_un_auth*0074729</ARLID> <name1>Hlaváč</name1> <name2>V.</name2> <country>CZ</country>  </author> <author primary="0"> <ARLID>cav_un_auth*0271854</ARLID> <name1>Nugent</name1> <name2>Ch. D.</name2> <country>GB</country>  </author> <author primary="0"> <ARLID>cav_un_auth*0040406</ARLID> <name1>Růžička</name1> <name2>E.</name2> <country>CZ</country>  </author>   <source> <url>http://library.utia.cas.cz/separaty/2011/TR/sprdlik-0359324.pdf</url> <url>linkinghub.elsevier.com/retrieve/pii/S0165027011001294</url> <source_size>344 kB</source_size> </source>        <cas_special> <project> <project_id>1M0567</project_id> <agency>GA MŠk</agency> <country>CZ</country> <ARLID>cav_un_auth*0202350</ARLID> </project> <research> <research_id>CEZ:AV0Z10750506</research_id> </research>  <abstract language="eng" primary="1">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 volunteers underwent the examination in four  standardized positions with focuson the hand tremor. Results showed that the frequencies of tremor  measured with TremAn and with accelerometry are closely related, at taining agreement with lesst han  0.1 Hz difference in 80% and less than 0.5 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)).</abstract>     <reportyear>2012</reportyear>  <RIV>BC</RIV>      <num_of_auth>8</num_of_auth>   <permalink>http://hdl.handle.net/11104/0197126</permalink>          <unknown tag="mrcbT16-e">BIOCHEMICALRESEARCHMETHODS|NEUROSCIENCES</unknown> <unknown tag="mrcbT16-f">2.400</unknown> <unknown tag="mrcbT16-g">0.386</unknown> <unknown tag="mrcbT16-h">7.5</unknown> <unknown tag="mrcbT16-i">0.0275</unknown> <unknown tag="mrcbT16-j">0.847</unknown> <unknown tag="mrcbT16-k">10653</unknown> <unknown tag="mrcbT16-l">337</unknown> <unknown tag="mrcbT16-q">86</unknown> <unknown tag="mrcbT16-s">1.208</unknown> <unknown tag="mrcbT16-y">34.12</unknown> <unknown tag="mrcbT16-x">2.27</unknown> <unknown tag="mrcbT16-4">Q2</unknown> <unknown tag="mrcbT16-B">33.76</unknown> <unknown tag="mrcbT16-C">31.256</unknown> <unknown tag="mrcbT16-D">Q3</unknown> <unknown tag="mrcbT16-E">Q3</unknown> <arlyear>2011</arlyear>       <unknown tag="mrcbU34"> 000291142600016 WOS </unknown> <unknown tag="mrcbU56"> 344 kB </unknown> <unknown tag="mrcbU63"> cav_un_epca*0257055 Journal of Neuroscience Methods 0165-0270 1872-678X Roč. 198 č. 1 2011 110 113 Elsevier </unknown> </cas_special> </bibitem>