The study found that a speech analysis system tested by cardiologists was able to predict in advance
The study included 180 patients with heart failure who received the recommended medications.Before the study began, all participants recorded five sentences on a standard smartphone using a voice analysis app.In the experiment, the patients repeated the same text every morning before breakfast.The app compares the new records with the baseline ones and informs doctors about the detection of lung congestion.
“The system establishes a baseline foreach individual patient when the condition stabilizes. It then detects changes in speech over time that indicate the presence of fluid in the lungs,” explains Professor William Abraham of Ohio State University, one of the authors of the study.
In the study, patients kept records for an average of 512 days.A total of 37 patients experienced 49 cases of worsening heart failure, of which 39 (80%) were correctly predicted by the app and 10 (20%) were missed.True warnings were issued an average of 21 days before symptoms worsened.
“In this study, physicians did not respond towarnings, as the goal was to determine the diagnostic performance of the instrument. In real life, notifications will be sent to the patient's doctor until they are answered,” adds Abraham.
The researchers note that the application forvoice analysis predicted most cases of worsening heart failure well in advance, with very few false positives. In future studies, scientists will test whether administering diuretics after receiving a warning would be effective in preventing hospitalization.
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