تقرير
Surgical task expertise detected by a self-organizing neural network map
| العنوان: | Surgical task expertise detected by a self-organizing neural network map |
|---|---|
| المؤلفون: | Dresp-Langley, Birgitta, Liu, Rongrong, Wandeto, John M. |
| سنة النشر: | 2021 |
| المجموعة: | Computer Science Quantitative Biology |
| مصطلحات موضوعية: | Quantitative Biology - Neurons and Cognition, Computer Science - Artificial Intelligence, Computer Science - Robotics |
| الوصف: | Individual grip force profiling of bimanual simulator task performance of experts and novices using a robotic control device designed for endoscopic surgery permits defining benchmark criteria that tell true expert task skills from the skills of novices or trainee surgeons. Grip force variability in a true expert and a complete novice executing a robot assisted surgical simulator task reveal statistically significant differences as a function of task expertise. Here we show that the skill specific differences in local grip forces are predicted by the output metric of a Self Organizing neural network Map (SOM) with a bio inspired functional architecture that maps the functional connectivity of somatosensory neural networks in the primate brain. Comment: Conference on Automation in Medical Engineering AUTOMED21, University Hospital Basel, Switzerland, 2021, June 8-9 |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2106.08995 |
| رقم الأكسشن: | edsarx.2106.08995 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |