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SUMMARY:The healthy voice: Developing an in silico basis for managing voic
 e disorder - Pinaki Bhattacharya (University of Sheffield)
DTSTART:20160615T120000Z
DTEND:20160615T130000Z
UID:TALK66333@talks.cam.ac.uk
CONTACT:Julius Bier Kirkegaard
DESCRIPTION:Several functions of daily life depend on us being able to use
  our voice\, whether it is introducing oneself to someone or singing a lul
 laby. Hence when voice health is compromised it strongly affects our quali
 ty of life. Conventional clinical approach to restoring voice health relie
 s heavily on the clinician’s ability to: a) identify aspects of the subj
 ect’s behaviour and hygiene e.g. posture\, hydration\, breath control an
 d b) assess the deviation in each aspect from a poorly characterized refer
 ence. Therefore it is critical to develop an objective\, mechanistic descr
 iption of how the mechanics of voice production affects voice health.\n\nV
 oice is produced when air pressure difference along the length of the airw
 ay causes the pair of vocal folds to vibrate and collide with each other a
 t high frequencies (~ 200 Hz). Past computational models failed to bring t
 ogether features of this process that are important for the determination 
 of mechanical stresses within the vocal folds. These include three-dimensi
 onality\, fluid–structure interaction\, self-sustained oscillations\, re
 alistic vocal fold constitutive properties\, contact interaction and surfa
 ce adhesion. In this talk\, I will present a validated computational model
  that for the first time overcomes each of these challenges in the same mo
 del. Model predictions led to the discovery that vibration and collision i
 nduced stresses give rise to non-negligible rates of dehydration in critic
 al regions of vocal fold tissue. Vocal fold surface adhesion characteristi
 cs were found to selectively control post-collision separation characteris
 tics as observed in high-speed imaging experiments (e.g. formation of flui
 d bridges). Furthermore\, these results were analysed within a patient-spe
 cific framework to aid clinical decision-making. We were thereby able to e
 stablish an objective mechanistic basis for the influence of voice product
 ion on voice health and to advance the state-of-the-art in _in silico_ man
 agement of voice disorder.
LOCATION:MR11\, Centre for Mathematical Sciences\, Wilberforce Road\, Camb
 ridge
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