PT - JOURNAL ARTICLE AU - Rokhsaneh Tehrany AU - Anna Barney AU - Anne Bruton TI - Differentiating between health and respiratory disease using speech breathing pattern analysis DP - 2014 Sep 01 TA - European Respiratory Journal PG - P4308 VI - 44 IP - Suppl 58 4099 - http://erj.ersjournals.com/content/44/Suppl_58/P4308.short 4100 - http://erj.ersjournals.com/content/44/Suppl_58/P4308.full SO - Eur Respir J2014 Sep 01; 44 AB - Background: While breathing patterns produced during speech have been reported to differ between healthy adults and patients with respiratory disease, it is not known whether the type of speech influences the detection of these differences.Aim: To compare speech breathing patterns between healthy adults and patients with chronic respiratory disease during a spontaneous speech task and an oral reading task.Method: Breathing patterns were recorded non-invasively using Respiratory Inductive Plethysmography (RIP) from 29 healthy adults (mean age 33.7 ± 12.64) and 20 patients (mean age 69.7 ± 8.81) with chronic respiratory disease during a spontaneous speech and oral reading task, each lasting two minutes. Offline analysis was performed using Matlab and six breathing parameters were extracted: Inspiration and expiration time (TI and TE), breathing cycle duration (Ttot), respiratory rate (RR) and inspiration and expiration volume (Iv and Ev).Results: A statistically significant difference (p<0.05) was found between healthy adults and patients with chronic respiratory disease for every breathing parameter (TI (p = 0.02), TE (p = 0.02), Ttot (p = 0.04), RR (p = 0.02), Iv (p = 0.00), Ev (p = 0.00)) during the spontaneous speech task. Statistically significant differences were found for two breathing parameters (Iv (p = 0.02) and Ev (p = 0.01)) during the reading task.Conclusion: These findings suggest that a spontaneous speech task is more useful than an oral reading task for differentiating between respiratory disease patients and healthy people. If confirmed in larger samples, this has implications for monitoring respiratory health using speech breathing patterns.