Zhang, Qingyu;
Al-Hindawi, Ahmed;
Demosthenous, Andreas;
Wu, Yu;
(2025)
Haptic-Enhanced Bioimpedance Needle for Precision Navigation in Central Venous Catheterisation with Millimetre Accuracy.
In:
2025 IEEE International Symposium on Circuits and Systems (ISCAS).
IEEE: London, United Kingdom.
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Abstract
Central venous catheterisation (CVC) involves the precise and challenging task of needle insertion, which can be difficult and prone to complications. This paper presents a bioimpedance (BIOZ) system for precision needle navigation in CVC. The system integrates BIOZ with a haptic feedback mechanism to assist clinicians during the catheterisation procedure. Four types of embedded needle probes were designed for high-sensitivity BIOZ sensing. The probe integrates with a compact electronic handle system for real-time BIOZ measurement and data communication, enabling real-time tissue classification and haptic feedback for optimal needle positioning. In 24 experimental trials with user participation using a phantom model, the system demonstrated a 100% success rate in venous entry, with a root mean square error (RMSE) of 0.66 mm and an 87% probability of achieving a position within ±1 mm of the vein centre. The compact and portable design ensures compatibility with clinical settings, laying a foundation for future improvements in robotic-assisted CVC and procedures alike.
Type: | Proceedings paper |
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Title: | Haptic-Enhanced Bioimpedance Needle for Precision Navigation in Central Venous Catheterisation with Millimetre Accuracy |
Event: | 2025 IEEE International Symposium on Circuits and Systems (ISCAS) |
Dates: | 25 May 2025 - 28 May 2025 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1109/iscas56072.2025.11044142 |
Publisher version: | https://doi.org/10.1109/iscas56072.2025.11044142 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | Navigation, Veins, Phantoms, Surgery, Bioimpedance, Needles, Real-time systems, Haptic interfaces, Probes, Signal to noise ratio |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
URI: | https://discovery.ucl.ac.uk/id/eprint/10212766 |
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