Breathing Pattern Disorders Distinguished from Healthy Breathing Patterns Using Optoelectronic Plethysmography

There is no gold standard diagnostic method for breathing pattern disorders (BPD) which commonly diagnosed through the exclusion of other pathologies. Optoelectronic plethysmography (OEP) a 3D motion capture technique that provides comprehensive noninvasive assessment chest wall during rest and exercise. The purpose this study was to determine if OEP can distinguish between active individuals classified with without BPD at Forty-seven healthy (HBP) twenty-six performed submaximal exercise challenge. measured movement calculation timing, percentage contribution, phase angle variables. A mixed model repeated measures ANOVA analysed variables groups as HBP rest, exercise, after recovery. At regional contribution including ribcage (HBP: 71% BPD: 69%), abdominal 13% 11%), abdomen 29% 31%), volume index (HPB: 2.5 2.2) were significantly p < 0.05 different groups. During displayed id="M2"> more asynchrony various thoracic compartments ?1.9 ?2.7), pulmonary ?0.5 BPD, 0.5), shoulders ?0.3 0.6), 0.2 0.6). Additionally, novel inhale deviation 8.8% 19.7%) exhale ?10.9% ?17.6%) also id="M3"> high intensity Regional angles via from Characteristics include asynchronous dominant patterns could form part future objective criteria diagnosis BPD.