Clustering Methods for Vibro-Acoustic Sensing Features as a Potential Approach to Tissue Characterisation in Robot-Assisted Interventions

Clustering Methods for Vibro-Acoustic Sensing Features as a Potential Approach to Tissue Characterisation in Robot-Assisted Interventions

This article provides a comprehensive analysis of the feature extraction methods applied to vibro-acoustic signals (VA signals) in the context of robot-assisted interventions. The primary objective is to extract valuable information from these signals to understand tissue behaviour better and build...

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Bibliographic Details
Main Authors: Robin Urrutia, Diego Espejo, Natalia Evens, Montserrat Guerra, Thomas Sühn, Axel Boese, Christian Hansen, Patricio Fuentealba, Alfredo Illanes, Victor Poblete
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Sensors
Subjects:
robot-assisted surgery
dimensionality reduction
minimally invasive surgery
haptic information
vibration sensing
surgical data science
Online Access:https://www.mdpi.com/1424-8220/23/23/9297

Internet

https://www.mdpi.com/1424-8220/23/23/9297

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