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Design and Fabrication of an Elastomeric Unit for Soft Modular Robots in Minimally Invasive Surgery
Published on: November 14, 2015
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Novel force-sensing system for minimally invasive surgical instruments
Summary
This study introduces a novel system for real-time force measurement in minimally invasive surgery. The system accurately detects forces at the instrument tip, aiding surgeons and potentially reducing complications from improper force control.
Area of Science:
- Surgical Technology
- Biomedical Engineering
- Medical Instrumentation
Background:
- Minimally invasive surgery (MIS) requires precise force control, which is difficult to master.
- Improper force application in MIS can result in severe patient harm, including tissue necrosis, infection, and scarring.
- Current methods lack real-time, quantitative force feedback at the instrument's distal end.
Purpose of the Study:
- To develop and evaluate a novel system for real-time measurement, logging, and display of external forces at the distal end of MIS instruments.
- To assess the accuracy, linearity, and repeatability of the force-sensing system in a surgical context.
- To provide surgeons with objective force data to improve surgical technique and patient outcomes.
Main Methods:
- A novel system was designed, comprising a Force-Sensing Sleeve, Bluetooth electronics, and an Android application.
- A 5 mm minimally invasive surgical needle holder was sensorized and integrated with the system.
- The sensorized instrument underwent evaluation for bending force accuracy, linearity, and repeatability across six directions.
Main Results:
- The system demonstrated linear response to forces applied at the tool-tip, irrespective of direction.
- Root-mean-square (RMS) error for force measurement was found to be 0.088 N.
- System noise, potentially due to temperature drift and thermal noise, impacted repeatability.
Conclusions:
- The developed system offers accurate and real-time force sensing capabilities for MIS instruments.
- The system's linear response and low RMS error show promise for improving surgical precision.
- Further research is needed to characterize communication performance for force feedback applications in surgical training and assessment.

