Projects

Computer-Aided Decision Support System for Hepatic Encephalopathy

The goal of this project is to provide deep speech and handwriting analysis and investigate whether speech and handwriting can be used for diagnosis and monitoring of hepatic encephalopathy and whether there exists relationship between speech, handwriting and other biomarkers in hepatic encephalopathy

Funding agency: Slovak research and development agency under contract APVV-16-0211

Principal investigator:doc. Ing. Peter Drotár, PhD.

Funding: 246 910 EUR

Project duration: Jun 2017 - Jun 2021

Status: Ongoing


The goal of this project is to provide deep speech and handwriting analysis and investigate whether speech and

handwriting can be used for diagnosis and monitoring of hepatic encephalopathy and whether there exists

relationship between speech, handwriting and other biomarkers in hepatic encephalopathy. The number of novel

signal processing algorithms, which reveal alteration in handwriting and speech more accurately than existing

approaches, are proposed, giving rise to new group of features. The robust feature selection algorithms select

the optimal subset of these features, which are fed into non-parametric regression and classification algorithms,

mapping the signal processing algorithm outputs to stage of hepatic encephalopathy. Even though proposed

project is focused on particular disease, we expect that some of the outputs, such as new features will be

applicable also for other diseases.

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