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An Audio-Based Method for Assessing Proper Usage of Dry Powder Inhalers.
- Source :
- Applied Sciences (2076-3417); Oct2020, Vol. 10 Issue 19, p6677, 14p
- Publication Year :
- 2020
-
Abstract
- Critical technique errors are very often performed by patients in the use of Dry Powder Inhalers (DPIs) resulting in a reduction of the clinical efficiency of such medication. Those critical errors include: pure inhalation, non-arming of the device, no exhalation before or after inhalation, and non-holding of breath for 5–10 s between inhalation and exhalation. In this work, an audio-based classification method that assesses patient DPI user technique is presented by extracting the the non-silent audio segments and categorizing them into respiratory sounds. Twenty healthy and non-healthy volunteers used the same placebo inhaler (Bretaris Genuair Inhaler) in order to evaluate the performance of the algorithm. The audio-based method achieved an F1-score of 89.87% in classifying sound events (Actuation, Inhale, Button Press, and Exhale). The significance of the algorithm lies not just on automatic classification but on a post-processing step of peak detection that resulted in an improvement of 5.58% on the F1-score, reaching 94.85%. This method can provide a clinically accurate assessment of the patient's inhaler use without the supervision of a doctor. [ABSTRACT FROM AUTHOR]
- Subjects :
- INHALERS
AUTOMATIC classification
PLACEBOS
ALGORITHMS
FEATURE extraction
Subjects
Details
- Language :
- English
- ISSN :
- 20763417
- Volume :
- 10
- Issue :
- 19
- Database :
- Complementary Index
- Journal :
- Applied Sciences (2076-3417)
- Publication Type :
- Academic Journal
- Accession number :
- 147002656
- Full Text :
- https://doi.org/10.3390/app10196677