Publications by authors named "M Santello"

Article Synopsis
  • Surgical procedures on the posterior temporal bone require precise drilling to avoid damaging critical structures, making it essential to refine surgical techniques.
  • A study utilized a deep learning hand motion detector to track a surgeon's hand movements during cadaveric mastoidectomy, collecting nearly 2 million detections with an 85.9% overall performance.
  • The detector successfully measured hand motion without physical sensors, but there were challenges with tracking accuracy, indicating the need for further research to enhance and validate metrics for surgical training.
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Article Synopsis
  • The study utilized deep learning to track hand motions of five experienced neurosurgeons performing simulated microvascular surgery, focusing on understanding their surgical techniques.
  • Researchers analyzed hand movements by tracking key points on the hands and calculated metrics for both gross movements and finer micromovements.
  • Findings indicated distinct patterns and efficiencies in hand motions among the surgeons, highlighting unique individual styles while suggesting deep learning's potential to improve surgical training and performance assessment.
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How humans coordinate digit forces to perform dexterous manipulation is not well understood. This gap is due to the use of tasks devoid of dexterity requirements and/or the use of analytical techniques that cannot isolate the roles that digit forces play in preventing object slip and controlling object position and orientation (pose). In our recent work, we used a dexterous manipulation task and decomposed digit forces into , the internal force that prevents object slip, and , the force responsible for object pose control.

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Response inhibition in humans is important to avoid undesirable behavioral action consequences. Neuroimaging and lesion studies point to a locus of inhibitory control in the right inferior frontal gyrus (rIFG). Electrophysiology studies have implicated a downstream event-related potential from rIFG, the fronto-central P300, as a putative neural marker of the success and timing of inhibition over behavioral responses.

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Dexterous manipulation relies on the ability to simultaneously attain two goals: controlling object position and orientation (pose) and preventing object slip. Although object manipulation has been extensively studied, most previous work has focused only on the control of digit forces for slip prevention. Therefore, it remains underexplored how humans coordinate digit forces to prevent object slip and control object pose simultaneously.

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