.png){kind=icon}
.png){kind=icon}
Return
Speech analysis for acute decompensated heart failure: reporting a pilot study in Germany
.png){kind=icon}
OA
AI
A
W
A
L
B
T
DOI：10.3389/fdgth.2026.1885715.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Acute decompensated heart failure (ADHF) has been shown to affect breathing and speech production. We present a new German speech dataset and conduct a pilot study to show the feasibility of using speech to distinguish between decompensated and recompensated ADHF. We achieve accuracy rates of 77% for this binary classification using read speech; with the use of segmented phrases scoring at 75% and sustained vowels trailing far behind at 52%. Our feature analysis shows a reduction in breathiness and an increase in articulation stability during recompensation. Overall; our results show the promise of speech analysis in the monitoring of ADHF and demonstrate that further efforts should be invested to obtain large-scale data and replicate our results in more heterogeneous populations.
Keywords:
digital health
heart failure
personalization
feature interpretation
pathological speech
Journal
F
IF:
3.8
Papers:
2.0K
Citations:
3.1K
Organization
Cited Papers