The epidural needle guidance with an intelligent and automatic identification system for epidural anesthesia

Meng Chun Kao, Chien Kun Ting, Wen Chuan Kuo*

*此作品的通信作者

研究成果: Conference contribution同行評審

1 引文 斯高帕斯(Scopus)

摘要

Incorrect placement of the needle causes medical complications in the epidural block, such as dural puncture or spinal cord injury. This study proposes a system which combines an optical coherence tomography (OCT) imaging probe with an automatic identification (AI) system to objectively identify the position of the epidural needle tip. The automatic identification system uses three features as image parameters to distinguish the different tissue by three classifiers. Finally, we found that the support vector machine (SVM) classifier has highest accuracy, specificity, and sensitivity, which reached to 95%, 98%, and 92%, respectively.

原文English
主出版物標題Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XVI
編輯Tuan Vo-Dinh, Warren S. Grundfest, Anita Mahadevan-Jansen
發行者SPIE
ISBN(電子)9781510614536
DOIs
出版狀態Published - 2018
事件Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XVI 2018 - San Francisco, United States
持續時間: 28 1月 201830 1月 2018

出版系列

名字Progress in Biomedical Optics and Imaging - Proceedings of SPIE
10484
ISSN(列印)1605-7422

Conference

ConferenceAdvanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XVI 2018
國家/地區United States
城市San Francisco
期間28/01/1830/01/18

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