Subglottal Pressure Experiments with Ex-vivo Porcine Larynges

The dataset consists of 288 high-speed video endoscopy (HSV) porcine larynx recordings. Phonation was recorded at differing subglottal pressure levels. Each video was segmented using the software Glottis Analysis Tools, and trajectories were computed from each segmentation. The following files are included: videos.zip - larynx recordings in .mp4-format measures.csv - table consisting metadata larynx: numeric identifier of the larynx gap: Length of the inserted metal shim (mm) glottis_length: length of the glottal midline (px) psub: measured subglottal pressure (Pa) adduction_left, adduction_right: arytenoid torques (mNm) trajectories.npy - trajectories (longitudinal 25%, 50%, 75%) as numpy array 0: left - posterior 1: left - medial 2: left - anterior 3: right - posterior 4: right - medial 5: right - anterior Usage: # load trajectoriesimport numpy as nparr = np.load('trajectories.npy') # load meta-dataimport pandas as pddf = pd.read_csv('measures.csv')