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Declan A. E. Costello

Publications -  8
Citations -  907

Declan A. E. Costello is an academic researcher. The author has contributed to research in topics: Medicine & Aerosol. The author has an hindex of 3, co-authored 3 publications receiving 749 citations.

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Exploiting Nonlinear Recurrence and Fractal Scaling Properties for Voice Disorder Detection

TL;DR: Two new tools to speech analysis are introduced: recurrence and fractal scaling, which overcome the range limitations of existing tools by addressing directly these two symptoms of disorder, together reproducing a "hoarseness" diagram.
Journal ArticleDOI

Exploiting Nonlinear Recurrence and Fractal Scaling Properties for Voice Disorder Detection

TL;DR: Two new tools to speech analysis are introduced: recurrence and fractal scaling, which overcome the range limitations of existing tools by addressing directly these two symptoms of disorder, together reproducing a "hoarseness" diagram.
Journal ArticleDOI

Exploiting Nonlinear Recurrence and Fractal Scaling Properties for Voice Disorder Detection

TL;DR: This paper introduced recurrence and fractal scaling, which overcome the range limitations of existing tools by addressing directly these two symptoms of disorder, and a simple bootstrapped classifier distinguishes normal from disordered voices to 91.8% overall accuracy on a large database of subjects with a wide variety of voice disorders.
Journal ArticleDOI

Comparing aerosol number and mass exhalation rates from children and adults during breathing, speaking and singing

TL;DR: In this paper , the absolute particle number and mass exhalation rates from measurements of minute ventilation using a non-invasive Vyntus Hans Rudolf mask kit with straps housing a rotating vane spirometer along with measurements of the exhaled particle number concentrations and size distributions were provided.
Journal ArticleDOI

A comparison of respiratory particle emission rates at rest and while speaking or exercising

TL;DR: In this paper , an aerodynamic particle sizer (0.54-20 μm diameter) samples exhalate from within a cardiopulmonary exercise testing mask, at rest, while speaking and during cycle ergometer-based exercise.