Fig. 5: Performance of the Automatic Emesis Detection (AED) system in short-duration (≤30 min) emesis models induced by six different drugs.
From: A deep learning-based system for automatic detection of emesis with high accuracy in Suncus murinus
Episodes of retching (R) + vomiting (V) were quantified manually and using the AED system for the (A) resiniferatoxin (RTX)-induced, (C) nicotine-induced, (E) copper sulfate-induced, (G) naloxone-induced, and (I) U46619-induced emesis models. Heatmaps showing the latency and number of episodes of R + V per minute for each animal in the (B) RTX-induced, (D) nicotine-induced, (F) copper sulfate-induced, (H) naloxone-induced, and (J) U46619-induced emesis models. Data are presented as the mean ± standard deviation (n = 8 animals). M = male, F = female. The 2D structures of corresponding compounds were obtained from the PubChem database (https://pubchem.ncbi.nlm.nih.gov/).
