Towards a Wireless Force Sensor Based on Wave Backscattering for Medical Applications

Mar 1, 2021·
Cédric Girerd
Cédric Girerd
,
Qiming zhang
,
Agrim gupta
,
Manideep dunna
,
Dinesh bharadia
,
Tania k. morimoto
,
Equal contribution
,
Equal contribution
· 0 min read
Abstract
In medical applications, sensing forces along surgical tools is of high importance in order to avoid collateral damage of tissue and surrounding structures. However, the space available in their central lumen limits the routing of wired sensors that are widely available today, and thus their integration into such tools. In this paper, we present a new wireless force sensor based on wave backscattering that reflects electromagnetic waves with phase changes that are directly related to the applied force magnitude and location. The proposed sensor can sense force magnitudes with an average error of 0.01 N and a standard deviation of 0.49 N, and their application location with an average error of -0.33 mm and a standard deviation of 0.82 mm. The sensor also has the potential to be translated to applications beyond medical instruments, including applications involving a large number of sensors and situations where wire routing is challenging due to the environment in which they are used.
Type
Publication
IEEE Sensors Journal
publications
Cédric Girerd
Authors
CNRS Researcher
I am a CNRS Researcher in Robotics. I work in the DEXTER Team in the Robotics Department at LIRMM in Montpellier, France. I obtained a PhD from Strasbourg University in 2018 in Robotics, and was a Postdoctoral Scholar at the University of California San Diego from 2019 to 2022. Since 2023, I am an Associate Editor for the IEEE RoboSoft Conference.