Application of the 3G AMR Speech Compression Algorithm to Drill Signature Analysis in Temporal Bone Surgery

Author

Mercade, J.L. ; Connell, Jonathan ; Noma, U.Y. ; O´Sullivan, Pat ; Shine, N.

Author_Institution

Depart. of Electron. Eng., Cork Inst. of Technol.

fYear

2006

fDate

28-30 June 2006

Firstpage

309

Lastpage

314

Abstract

The mastoid is a honeycomb structure of aerated cells situated behind the ear. It can become diseased and require surgical removal to prevent brain abscesses, meningitis, etc. Access is achieved by lifting the skin, drilling through the outer temporal bone and then grinding out the mastoid area to leave a thin, hard bone structure which protects the brain, facial nerve and sigmoid sinus. Changes in drill pitch and tissue colour indicate proximity to critical structures. This paper examines the feasibility of using the 3G adaptive multi-rate (AMR) linear prediction and coding techniques to estimate drill position based on its acoustic signature. The ultimate goal is enhancement of patient safety and greater accuracy in drill sound synthesis in training simulators

Keywords

acoustic signal processing; adaptive signal processing; bone; ear; linear predictive coding; medical computing; safety; speech coding; speech synthesis; surgery; 3G adaptive multirate linear prediction techniques; acoustic signature; aerated cells; brain; drill signature analysis; facial nerve; hard bone structure; honeycomb structure; mastoid area; patient safety; sigmoid sinus; sound synthesis; speech coding; speech compression algorithm; temporal bone surgery; tissue colour; Acoustic Signature; Linear Prediction; Temporal bone;

fLanguage

English

Publisher

iet

Conference_Titel

Irish Signals and Systems Conference, 2006. IET

Conference_Location

Dublin

Print_ISBN

0-86341-665-9

Type

conf

Filename

4123916