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With input from Dr Monica Vasudev
1120: Voice-Based Screening Predicts Lung Function
- A preliminary study has revealed that novel voice and breath analysis using a smartphone app could be a useful measure of lung function.
- It may serve as a valuable tool for the identification and monitoring of respiratory disease.
- Automated voice and breath analysis was shown to be effective for predicting lung function, with an 82% accuracy for predicting patients with and without obstructive lung disease.
- The study was presented recently at the virtual CHEST conference.
- The ongoing, prospective, cross-sectional study included 128 initial participants (76 women, 52 men), enrolled during appointments for pulmonary function testing conducted at Allegheny General Hospital in Pittsburgh. Around 16.4% had lung obstruction.
- A voice collector app collected voice data. Participants read a phonetically-balanced passage with 199 words to optimize findings. It was later reduced to around 50 words.
- Voice and breath sound samples were recorded prior to and after pulmonary function testing, which corresponded with pre-and post-bronchodilator samples.
- Pre- and post-pulmonary function test forced expiratory volume in one second (FEV1) and forced vital capacity (FVC) results were obtained from each patient. Voice and breath audio samples were recorded on a smart tablet, with the help of the proprietary software app. The voice data were analyzed using cloud-based software. Voice audio recordings were calibrated to create a customized noise profile.
- The phonetically balanced reading passage was used to assess respiration, phonation, articulation, and resonance. A long vowel word list helped detect speaking-related dyspnea during articulation of long vowel sounds.
- Machine learning compared the voice-based screening to spirometry data.
- The automated voice analysis yielded good diagnostic accuracy for the prediction of FEV1 and FVC.
- Obstruction classification demonstrated an accuracy of 98%, and a sensitivity of 96%.
Source: Ashraf O, et al "Voice-based screening and monitoring of chronic respiratory conditions" CHEST 2020.
Dr KK Aggarwal
President CMAAO, HCFI and Past National President IMA