2022
DOI: 10.1016/j.mex.2022.101739
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Classification of extremity movements by visual observation of signals and their transforms

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Cited by 4 publications
(18 citation statements)
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“…Although this dataset was obtained to identify deficits in the performance of rhythmic processes by humans, the general framework also constitutes the basis for the quality assurance of rhythmic processes by machinery and technology utilizing a vast spectrum of rhythmic activities. The sequential publications of the procedure dealt with the measurement of movements by humans conducting repetitive tasks [ 1 , 12 , 17 , 21 ]. The goal of the current manuscript is to provide the means to generalize these data for worldwide use to assess the qualities of general rhythmic processes.…”
Section: Objectivementioning
confidence: 99%
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“…Although this dataset was obtained to identify deficits in the performance of rhythmic processes by humans, the general framework also constitutes the basis for the quality assurance of rhythmic processes by machinery and technology utilizing a vast spectrum of rhythmic activities. The sequential publications of the procedure dealt with the measurement of movements by humans conducting repetitive tasks [ 1 , 12 , 17 , 21 ]. The goal of the current manuscript is to provide the means to generalize these data for worldwide use to assess the qualities of general rhythmic processes.…”
Section: Objectivementioning
confidence: 99%
“…An electronic framework was constructed in Urbana, Illinois, United States, to represent the signals from the accelerometers attached to the extremities of participants in Baltimore, Maryland, United States, and their transforms so that international raters could access the images and submit rating scores to the administrator for future analysis [15] , [16] , [17] . The electronic framework provided the means for 35 trained rates around the world to independently visualize and score the random representation of accelerometer signals and their fast Fourier [5] and amor and bump continuous wavelet [6] transforms.…”
Section: Objectivementioning
confidence: 99%
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