Wearable bio-adhesive metal detector array (BioMDA) for spinal implants

Jian Li, Shengxin Jia, Dengfeng Li, Lung Chow, Qiang Zhang, Yiyuan Yang, Xiao Bai, Qingao Qu, Yuyu Gao, Zhiyuan Li, Zongze Li, Rui Shi, Binbin Zhang, Ya Huang, Xinyu Pan, Yue Hu, Zhan Gao, Jingkun Zhou, WooYoung Park, Xingcan HuangHongwei Chu, Zhenlin Chen, Hu Li, Pengcheng Wu, Guangyao Zhao, Kuanming Yao, Muhamed Hadzipasic, Joshua D. Bernstock, Ganesh M. Shankar*, Kewang Nan*, Xinge Yu*, Giovanni Traverso*

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

4 Citations (Scopus)
12 Downloads (CityUHK Scholars)

Abstract

Dynamic tracking of spinal instrumentation could facilitate real-time evaluation of hardware integrity and in so doing alert patients/clinicians of potential failure(s). Critically, no method yet exists to continually monitor the integrity of spinal hardware and by proxy the process of spinal arthrodesis; as such hardware failures are often not appreciated until clinical symptoms manifest. Accordingly, herein, we report on the development and engineering of a bio-adhesive metal detector array (BioMDA), a potential wearable solution for real-time, non-invasive positional analyses of osseous implants within the spine. The electromagnetic coupling mechanism and intimate interfacial adhesion enable the precise sensing of the metallic implants position without the use of radiation. The customized decoupling models developed facilitate the precise determination of the horizontal and vertical positions of the implants with incredible levels of accuracy (e.g., <0.5 mm). These data support the potential use of BioMDA in real-time/dynamic postoperative monitoring of spinal implants. © The Author(s) 2024.
Original languageEnglish
Article number7800
JournalNature Communications
Volume15
Online published6 Sept 2024
DOIs
Publication statusPublished - 2024

Funding

This work was supported in part by: InnoHK Project on Project 2.2—AI-based 3D ultrasound imaging algorithm at Hong Kong Centre for Cerebro-Cardiovascular Health Engineering (COCHE), City University of Hong Kong (Grants No. 9667221, 924007 and 9680322), National Natural Science Foundation of China (Grants No. 62122002), Research Grants Council of the Hong Kong Special Administrative Region (Grant No. RFS2324-1S03), Shenzhen Science and Technology Innovation Commission (Grant No. SGDX20220530111401011), the Innovation and Technology Fund of Innovation and Technology Commission (Grant No. ITS/119/22), Karl Van Tassel (1925) Career Development Professorship and. The Department of Mechanical Engineering, MIT.

Publisher's Copyright Statement

  • This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/

Fingerprint

Dive into the research topics of 'Wearable bio-adhesive metal detector array (BioMDA) for spinal implants'. Together they form a unique fingerprint.

Cite this