Sensors for expert grip force profiling: towards benchmarking manual control of a robotic device for surgical tool movements

TL;DR

This paper explores the use of wearable force sensors integrated into gloves to profile expert versus novice grip forces during robotic surgical tasks, aiming to establish benchmarks for training and assessing surgical proficiency.

Contribution

It introduces a novel method of using sensor-embedded gloves to analyze grip force profiles for benchmarking surgical skill levels in robotic procedures.

Findings

Distinct grip force patterns identified between experts and novices.

Sensor data reveals specific hand regions critical for skill assessment.

Potential for developing objective training benchmarks for robotic surgery.

Abstract

STRAS (Single access Transluminal Robotic Assistant for Surgeons) is a new robotic system for application to intraluminal surgical procedures. Preclinical testing of STRAS has recently permitted to demonstrate major advantages of the system in comparison with classic procedures. Benchmark methods permitting to establish objective criteria for expertise need to be worked out now to effectively train surgeons on this new system in the near future. STRAS consists of three cable driven subsystems, one endoscope serving as guide, and two flexible instruments. The flexible instruments have three degrees of freedom and can be teleoperated by a single user via two specially designed master interfaces. In this study here, small force sensors sewn into a wearable glove to ergonomically fit the master handles of the robotic system were employed for monitoring the forces applied by an expert and a trainee who was a complete novice during all the steps of surgical task execution in a simulator task, a four step pick and drop. Analysis of gripforce profiles is performed sensor by sensor to bring to the fore specific differences in handgrip force profiles in specific sensor locations on anatomically relevant parts of the fingers and hand controlling the master slave system.