| Attributes | Values |
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| rdf:type
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| rdfs:seeAlso
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| Description
| - DDK (Diadochokinetic Tasks) are specially designed for an analysis of articulation precision in patients with Parkinson's disease. During these tasks patients repeatedly pronounce syllables that contains combination plosive-vowel, for instance %22pa-ta-ka-pa-ta-ka-pa-ta-ka...%22. Fast changes in articulatory organs position can be observed during these tasks. In some cases the patients are not able to do these fast changes, in other cases they keep speech rate at the expense of decreased articulatory organs movement, therefore a speech intelligibility is decreased. This tool quantifies DDK tasks according to local maxima that are used to split DDK task into particular cycles. These local maxima are identified in speech signal using an analysis of envelope that was calculated using Hilbert transformation or difference of consecutive speech samples. The tool provides extraction of these features: position of local DDK maxima, values of local DDK maxima, mean DDK period, number of DDK cycles, mean DDK cycle intensity, maximal DDK cycle intensity, maximal speech intensity, mean speech intensity, std of DDK period, std of DDK cycle intensity, coefficient of variation of DDK period, coefficient of variation of DDK cycle and jitter of DDK periods. It is possible to analyse DDK in MATLAB using function results = ddk(data, vzorkovacia_frekvencia, vykresli_grafy), where variable data contains a column vector of speech samples, variable vzorkovacia_frekvencia contains sampling frequency and binary variable vykresli_grafy determines, whether some plots showing the maxima in signal (and other characteristics) will be displayed (to display the graphs, set this variable to 1). Structure results contains the calculated features. Particular features in this structure are described in help, that can be in MATLAB command line shown using command: help ddk
- DDK (Diadochokinetic Tasks) are specially designed for an analysis of articulation precision in patients with Parkinson's disease. During these tasks patients repeatedly pronounce syllables that contains combination plosive-vowel, for instance %22pa-ta-ka-pa-ta-ka-pa-ta-ka...%22. Fast changes in articulatory organs position can be observed during these tasks. In some cases the patients are not able to do these fast changes, in other cases they keep speech rate at the expense of decreased articulatory organs movement, therefore a speech intelligibility is decreased. This tool quantifies DDK tasks according to local maxima that are used to split DDK task into particular cycles. These local maxima are identified in speech signal using an analysis of envelope that was calculated using Hilbert transformation or difference of consecutive speech samples. The tool provides extraction of these features: position of local DDK maxima, values of local DDK maxima, mean DDK period, number of DDK cycles, mean DDK cycle intensity, maximal DDK cycle intensity, maximal speech intensity, mean speech intensity, std of DDK period, std of DDK cycle intensity, coefficient of variation of DDK period, coefficient of variation of DDK cycle and jitter of DDK periods. It is possible to analyse DDK in MATLAB using function results = ddk(data, vzorkovacia_frekvencia, vykresli_grafy), where variable data contains a column vector of speech samples, variable vzorkovacia_frekvencia contains sampling frequency and binary variable vykresli_grafy determines, whether some plots showing the maxima in signal (and other characteristics) will be displayed (to display the graphs, set this variable to 1). Structure results contains the calculated features. Particular features in this structure are described in help, that can be in MATLAB command line shown using command: help ddk (en)
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| Title
| - Diadochokinetic tasks analysis tool
- Diadochokinetic tasks analysis tool (en)
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| skos:prefLabel
| - Diadochokinetic tasks analysis tool
- Diadochokinetic tasks analysis tool (en)
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| skos:notation
| - RIV/00216305:26220/14:PR27816!RIV15-MSM-26220___
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| http://linked.open...avai/riv/aktivita
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| http://linked.open...avai/riv/aktivity
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| http://linked.open...vai/riv/dodaniDat
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| http://linked.open...aciTvurceVysledku
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| http://linked.open.../riv/druhVysledku
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| http://linked.open...iv/duvernostUdaju
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| http://linked.open...onomickeParametry
| - Software je využíván na univerzitě Escola Universitaria Politecnica de Mataro, Avda. Ernest Lluch 32, 08302 Mataro (BARCELONA), Spain a v technologickém kampusu Tecnocampus Mataro-Maresme, Avda. Ernest Lluch 32, 08302 Mataro (BARCELONA) Spain.
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| http://linked.open...titaPredkladatele
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| http://linked.open...dnocenehoVysledku
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| http://linked.open...ai/riv/idVysledku
| - RIV/00216305:26220/14:PR27816
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| http://linked.open...terniIdentifikace
| - Diadochokinetic tasks analysis t
|
| http://linked.open...riv/jazykVysledku
| |
| http://linked.open.../riv/klicovaSlova
| - Diadochokinetic tasks, Parkinson's disease, speech signal processing (en)
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| http://linked.open.../riv/klicoveSlovo
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| http://linked.open...ontrolniKodProRIV
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| http://linked.open.../licencniPoplatek
| |
| http://linked.open...in/vavai/riv/obor
| |
| http://linked.open...ichTvurcuVysledku
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| http://linked.open...cetTvurcuVysledku
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| http://linked.open...vavai/riv/projekt
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| http://linked.open...UplatneniVysledku
| |
| http://linked.open...echnickeParametry
| - Pro jednání o licenčních podmínkách tohoto softwaru je za VUT pověřen pracovník Centra pro transfer technologií VUT v Brně Ing. Lukáš Novák, Kounicova 966/67a, Veveří, 60200, Brno, Česká republika, novak@ro.vutbr.cz.
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| http://linked.open...iv/tvurceVysledku
| - Smékal, Zdeněk
- Mekyska, Jiří
- Kukučka, Peter
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| http://linked.open...avai/riv/vlastnik
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| http://linked.open...itiJinymSubjektem
| |
| http://localhost/t...ganizacniJednotka
| |
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