Novel clinical device tracking and tissue event characterization using proximally placed audio signal acquisition and processing.

ABSTRACT: We propose a new and complementary approach to image guidance for monitoring medical interventional devices (MID) with human tissue interaction and surgery augmentation by acquiring acoustic emission data from the proximal end of the MID outside the patient to extract dynamical characteristics of the interaction between the distal tip and the tissue touched or penetrated by the MID. We conducted phantom based experiments (n = 955) to show dynamic tool/tissue interaction during tissue needle passage (a) and vessel perforation caused by guide wire artery perforation (b). We use time-varying auto-regressive (TV-AR) modelling to characterize the dynamic changes and time-varying maximal energy pole (TV-MEP) to compute subsequent analysis of MID/tissue interaction characterization patterns. Qual

SUBMITTER: Illanes A 

PROVIDER: S-EPMC6089924 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature