Estimation of inhalation flow profile using audio-based methods to assess inhaler medication adherence

• DOI: 10.1371/journal.pone.0191330
• Publication Date: 2018-01-18T13:48:31Z
• Authors: Terence E. Taylor; Helena Lacalle Muls; Richard W. Costello; Richard B. Reilly
• Keywords: Peak flow meter

Asthma and chronic obstructive pulmonary disease (COPD) patients are required to inhale forcefully deeply receive medication when using a dry powder inhaler (DPI). There is clinical need objectively monitor the inhalation flow profile of DPIs in order remotely patient technique. Audio-based methods have been previously employed accurately estimate parameters such as peak inspiratory rate inhalations, however, these multiple calibration audio recordings. In this study, an audio-based method presented that estimates only one recording. Twenty healthy participants were asked perform 15 inhalations through placebo Ellipta™ DPI at range rates. Inhalation signals recorded pneumotachograph spirometer while simultaneously Inhaler Compliance Assessment device attached inhaler. The acoustic (amplitude) envelope was estimated from each signal. Using recording, linear power law regression models determine which model best described relationship between Each then remaining 14 This process repeated until recordings calibrate single testing on It observed generated highest average estimation accuracy across all (90.89±0.9% for 76.63±2.38% models). also sufficient estimating capacity within presence noise. Estimating profiles based may be clinically beneficial technique training remote monitoring adherence.