@inproceedings{61ca0e3dc5f64a57a85f35087b15ff0f,
title = "Design and Calibration of Puncture Needle Shape Sensing Sensor Based on FBG",
abstract = "Accurately determining the shape and tip position of puncture needles in surgery is challenging due to the limitations of traditional sensors. This work introduces a Fiber Bragg Grating (FBG) sensor designed for this purpose. The sensor bonding and calibration platforms were developed, and a shape perception algorithm based on differential geometry was implemented. For a 150 mm puncture needle, the average tip positional error was 3.687 mm, with a maximum error of 6.832 mm. Additionally, a flexible hose-based curvature sensor was created for real-time sensing of the needle tip{\textquoteright}s curvature. For a 30 mm needle, this sensor achieved an average positional error of 0.244 mm and a maximum error of 0.528 mm.",
keywords = "FBG, Puncture needle, Shape sensing sensor",
author = "Hao Wen and Wen Fu and Junlan Dong and Changsheng Li and Xingguang Duan",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.; 16th International Conference on Social Robotics, ICSR + BioMed 2024 ; Conference date: 16-08-2024 Through 18-08-2024",
year = "2025",
doi = "10.1007/978-981-97-8963-4\_2",
language = "English",
isbn = "9789819789627",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "11--20",
editor = "Ge, \{Shuzhi Sam\} and Ruihang Ji and Zhuojing Luo and Yanen Wang and Hooman Samani and Hongsheng He",
booktitle = "Social Robotics - 16th International Conference, ICSR + BioMed 2024, Proceedings",
address = "Germany",
}