fig2

A multimodal approach combining tool-pressure and EEG features for laparoscopic skill classification using machine learning

Figure 2. Comparison between inexperienced and Surg across four measures: (A) Heart Rate Variability; (B) Number of errors; (C) Task completion time; and (D) Total NASA-TLX scores. Bars represent group means, and error bars indicate SD. Group differences were evaluated using the Mann-Whitney U test. (*) Indicate significant group differences (P < 0.05). Surg: Surgeons; HRV: heart rate variability; NASA-TLX: National Aeronautics and Space Administration Task Load Index; SD: standard deviation.

Artificial Intelligence Surgery
ISSN 2771-0408 (Online)
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