Fig. 3: Detecting PD from nasal airflow during wake.
From: Discriminating Parkinson’s disease patients from healthy controls using nasal respiratory airflow
a–c Box plots for respiration parameters during the first 30-min of recording during wake, n(control) = 33, n(PD) = 28. a Duty Cycle inhale, P = 6.9 × 10−5. b Breathing rate variation coefficient, P = 5.3 × 10−5. c Duty cycle inhale pause, P = 0.006. Central lines indicate median, Edges of the box indicate 75th and 25th percentiles. Whiskers reflect 1.5 times the interquartile range. d The three features during the first 30 min in healthy (blue) and PD (red) groups. Each circle represents a 5-minute block in a single participant, n(control)=33, n(PD) = 28. e ROC curve for detecting PD from 5 min (green), 30 min (purple), and 6.5 h (orange) using a subspace discriminant classifier (n(control) = 33, n(PD) = 28). f Histogram of classification accuracy for shuffled data with actual classification accuracy marked by red dashed line, P = 3.5×10−9. g. Model accuracy over time.
