Cellular phone enabled non-invasive tissue classifier.

ABSTRACT: Cellular phone technology is emerging as an important tool in the effort to provide advanced medical care to the majority of the world population currently without access to such care. In this study, we show that non-invasive electrical measurements and the use of classifier software can be combined with cellular phone technology to produce inexpensive tissue characterization. This concept was demonstrated by the use of a Support Vector Machine (SVM) classifier to distinguish through the cellular phone between heart and kidney tissue via the non-invasive multi-frequency electrical measurements acquired around the tissues. After the measurements were performed at a remote site, the raw data were transmitted through the cellular phone to a central computational site and the classifier was ap

SUBMITTER: Laufer S 

PROVIDER: S-EPMC2664897 | biostudies-literature | 2009

REPOSITORIES: biostudies-literature