Author(s):
1. Tijana Geroski, University of Kragujevac, Faculty of Engineering, Serbia
2. Lazar Dašić, Institute for Information Technologies Kragujevac, Serbia
3. Andjela Blagojević, Bioengineering Research and Development Center (BioIRC), Serbia
4. Ognjen Pavić, Institute for Information Technologies Kragujevac, Serbia
5. Nenad Filipović, Univerzitet u Kragujevcu, Serbia

Abstract:
This paper explores the potential of vocal features as non-invasive biomarkers for heart failure detection. Changes in voice may result from disruptions in the respiratory and cardiovascular systems, making voice a promising clinical signal. A standardized recording protocol was defined, consisting of five tasks: (1) reading a text at a normal speaking pace, (2) free speech for at least 30 seconds, (3) counting from 1 to 30, (4) counting down from 30 to 1, and (5) a maximum phonation task (“aaa” for as long as possible). From these recordings, various acoustic features are extracted, including phonation duration, number and length of pauses, pitch, loudness, mel-frequency cepstral coefficients (MFCCs), jitter, shimmer, and cepstral peak prominence (CPP). Clinical studies are currently underway to assess the effectiveness of this methodology and its applicability in real-world settings as a tool for early, non-invasive diagnosis and monitoring of heart failure. This approach could empower patient self-management and help reduce healthcare costs.

Key words:
heart failure, vocal biomarkers, voice analysis, non-invasive diagnosis,heart failure,vocal biomarkers,voice analysis,non-invasive diagnosis

Date of abstract submission:
07.08.2025.

Conference:
Contemporary Materials 2025 - Savremeni Materijali

Applied paper from author