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Opis: This video work documents "an inter-media and site-specific percussive opinion on the Mapping Komiža Narratives ( adriart.net/mapping-komi-narratives ) show/exhibition on 12.9.2013 at the Reading room (Čitaona) of Komiža, island of Vis, Croatia, by pETER Purg, together with Lavoslava Benćić (mobile phone; digi-theremin) and Dorian Mataija (shakers, keyboard/sampler)." The video was shot by Adam Whitehall (also credited for the Spieldose-background-theme-WeAreTheChampions), the piece was collectively evolved, coordinated by pETER Purg. "With the support of the Lifelong Learning, Erasmus, Programme of the European Union. These videos reflect the views only of the authors, and the Commission cannot be held responsible for any use which may be made of the information contained therein."
Najdeno v: ključnih besedah
Ključne besede: video, experiment, percussion, narrative, intermedia, sound
Objavljeno: 06.07.2016; Ogledov: 3873; Prenosov: 0

Najdeno v: ključnih besedah
Povzetek najdenega: ...algorithm, programming, technology, languages, sonic arts, sound, contemporary art...
Ključne besede: algorithm, programming, technology, languages, sonic arts, sound, contemporary art
Objavljeno: 23.02.2021; Ogledov: 1247; Prenosov: 5
Polno besedilo (0,00 KB)

Opis: The development of novel digital auscultation techniques has become highly significant in the context of the outburst of the pandemic COVID 19. The present work reports the spectral, nonlinear time series, fractal, and complexity analysis of vesicular (VB) and bronchial (BB) breath signals. The analysis is carried out with 37 breath sound signals. The spectral analysis brings out the signatures of VB and BB through the power spectral density plot and wavelet scalogram. The dynamics of airflow through the respiratory tract during VB and BB are investigated using the nonlinear time series and complexity analyses in terms of the phase portrait, fractal dimension, Hurst exponent, and sample entropy. The higher degree of chaoticity in BB relative to VB is unwrapped through the maximal Lyapunov exponent. The principal component analysis helps in classifying VB and BB sound signals through the feature extraction from the power spectral density data. The method proposed in the present work is simple, cost-effective, and sensitive, with a far-reaching potential of addressing and diagnosing the current issue of COVID 19 through lung auscultation.
Najdeno v: ključnih besedah
Povzetek najdenega: ...The analysis is carried out with 37 breath sound signals. The spectral analysis brings out the...
Ključne besede: Breath sound analysis, Fractal dimension, Nonlinear time series analysis, Sample entropy, Hurst exponent, Principal component analysis
Objavljeno: 28.06.2022; Ogledov: 351; Prenosov: 0
Polno besedilo (2,73 MB)