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 trajectories
import numpy as np
arr = np.load('trajectories.npy')

# load meta-data
import pandas as pd
df = pd.read_csv('measures.csv')