An origami-inspired endoscopic capsule with tactile perception for early tissue anomaly detection
File(s)
Author(s)
Ge, Yukun
Zong, Rui
Chen, Xiaoshuai
Nanayakkara, Thrishantha
Type
Journal Article
Abstract
Video Capsule Endoscopy (VCE) is currently one of the most effective methods for detecting intestinal diseases. However, it is challenging to detect early-stage small nodules with this method because they lack obvious color or shape features. In this letter, we present a new origami capsule endoscope to detect early small intestinal nodules using tactile sensing. Four soft tactile sensors made out of piezoresistive material feed four channels of phase-shifted data that are processed using a particle filter. The particle filter uses an importance assignment template designed using experimental data from six known sizes of nodules. Moreover, the proposed capsule can use shape changes to move forward or backward under peristalsis passively. In the experiment, it was able to return to a specific area for repeated detection in a straight, two-dimensional intestinal model. Experimental results show that the proposed capsule can detect nodules of more than 3 mm diameter with 100% accuracy.
Date Issued
2024-11
Date Acceptance
2024-09-13
Citation
IEEE Robotics and Automation Letters, 2024, 9 (11), pp.10018-10025
ISSN
2377-3766
Publisher
Institute of Electrical and Electronics Engineers
Start Page
10018
End Page
10025
Journal / Book Title
IEEE Robotics and Automation Letters
Volume
9
Issue
11
Copyright Statement
Copyright © 2024 IEEE. This is the author’s accepted manuscript made available under a CC-BY licence in accordance with Imperial’s Research Publications Open Access policy (www.imperial.ac.uk/oa-policy)
License URL
Identifier
http://dx.doi.org/10.1109/lra.2024.3469821
Publication Status
Published
Date Publish Online
2024-09-27