Towards bio-inspired tactile sensing capsule endoscopy for detection of submucosal tumours

Winstone, B., Melhuish, C., Pipe, A. G., Callaway, M. and Dogramadzi, S. (2017) Towards bio-inspired tactile sensing capsule endoscopy for detection of submucosal tumours. IEEE Sensors Journal, 17 (3). pp. 848-857. ISSN 1530-437X Available from:

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Here we present a method for lump characterisation using a bio-inspired remote tactile sensing capsule endoscopy system. Whilst current capsule endoscopy utilises cameras to diagnose lesions on the surface of the gastrointestinal tract lumen, this proposal uses remote palpation to stimulate a bio-inspired tactile sensing surface that deforms under the impression of both hard and soft raised objects. Current capsule endoscopy utilises cameras to visually diagnose lesions on the surface of the gastrointestinal tract. Our approach introduces remote palpation by deploying a bio-inspired tactile sensor that deforms when pressed against soft or hard lumps. This can enhance visual inspection of lesions and provide more information about the structure of the lesions. Using classifier systems we have shown that lumps of different size, shape and hardness can be distinguished in a synthetic test environment. This is a promising early start towards achieving a remote palpation system used inside the GI tract that will utilise the clinician’s sense of touch.

Item Type:Article
Additional Information:© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Uncontrolled Keywords:tactile sensing, capsule endoscopy, remote palpation, tumour classification
Faculty/Department:Faculty of Environment and Technology > Department of Engineering Design and Mathematics
ID Code:30664
Deposited By: Professor S. Dogramadzi
Deposited On:03 Jan 2017 10:30
Last Modified:02 Mar 2018 12:51

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