Title :
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.
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;
Conference_Titel :
Irish Signals and Systems Conference, 2006. IET
Conference_Location :
Dublin
Print_ISBN :
0-86341-665-9
