A Surface-Integrated Sensor Network for Personalized Multifunctional Catheters.

Gupta, Nishant; Kuert, Gerhard; Ryser, Adrian; Häberlin, Andreas; Niederhauser, Thomas (2023). A Surface-Integrated Sensor Network for Personalized Multifunctional Catheters. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2023, pp. 1-4. IEEE 10.1109/EMBC40787.2023.10340550

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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.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Department of Cardiovascular Disorders (DHGE) > Clinic of Cardiology

UniBE Contributor:

Ryser, Adrian, Häberlin, Andreas David Heinrich

Subjects:

600 Technology > 610 Medicine & health

ISSN:

2694-0604

Publisher:

IEEE

Language:

English

Submitter:

Vjollca Coli

Date Deposited:

28 Dec 2023 13:08

Last Modified:

28 Dec 2023 13:08

Publisher DOI:

10.1109/EMBC40787.2023.10340550

PubMed ID:

38083213

BORIS DOI:

10.48350/190882

URI:

https://boris.unibe.ch/id/eprint/190882

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