A Surface-Integrated Sensor Network for Personalized Multifunctional Catheters*
Version
Published
Date Issued
2023-07-27
Author(s)
Type
Conference Paper
Language
English
Abstract
Augmenting the sensing/actuating capabilities of multifunctional catheters used for minimally invasive interventions has been fostered by the reduction of transducers’ sizes. However, increasing the number of transducers to benefit from the entire catheter surface is challenging due to the number of connections and/or the required integrated circuits dedicated for multiplexing the transducer signals. Modular concepts enabling personalized catheters are lacking, at all. In this work, we investigated the feasibility of a simple and daisy-chainable transducer node network for active catheters, which overcomes these limitations. Sequentially accessible nodes enabling analog interaction (including signal buffering) with transducers were designed and fabricated using miniature components suited for catheter integration. The effective sampling rate (ESR) per node for acquiring bio-signals from 10 nodes was examined for various signal-to-noise ratios. Thanks to the low circuit complexity, an ESR up to 20 kHz was achieved, which is high enough for many bio-signals.Clinical relevance— Typical daisy-chaining features, namely theoretically indefinite node extension and simple reconfiguration facilitates modularization of the catheter design. The proposed network consequently ensures application and patient-specific requirements while incorporating transducer functions over the entire catheter surface, both may improve minimally invasive interventions.
Subjects
R Medicine (General)
TK Electrical engineering. Electronics Nuclear engineering
ISBN
979-8-3503-2447-1
Publisher DOI
Publisher URL
Sponsors
Swiss National Science Foundation
Innosuisse
Conference
2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
Publisher
IEEE
Submitter
Niederhauser, Thomas
Citation apa
Gupta, N., Kuert, G. F., Ryser, A., Haeberlin, A., & Niederhauser, T. (2023). A Surface-Integrated Sensor Network for Personalized Multifunctional Catheters*. 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE. https://doi.org/10.24451/arbor.20840
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