Non-linear prediction for oesophageal voice analysis
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Updated: Sep 29, 2026

Asthma Detection Research Based on Voice Signal Processing and Machine Learning
Published on: July 22, 2025
L Landini1, C Manfredi, V Positano
1Department of Information Engineering, University of Pisa, Via Diotisalvi 2, 56126 Pisa, Italy.
Abstract:
Herein, non-linear prediction methods are applied to oesophageal voice analysis. The research aims to investigate normal and pathological subjects, in order to improve knowledge of the oesophageal voice behaviour. Analysis is performed in the reconstructed phase space, using both non-linear prediction with local linear approximation and the S-Map method. Preliminary results seem to confirm that in normal subjects a non-linear stable deterministic behaviour takes place, while in pathological subjects the non-linear contribution reduces while the time series becomes unstable.
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