A Novel Smart Assistance System for Blood Vessel Approaching: A Technical Report Based on Oximetry
In clinical practice, the catheter has to be placed at an accurate position during anesthesia administration. However, effectively guiding the catheter to the accurate position in deeper tissues can be difficult for an inexperienced practitioner. We aimed to address the current issues associated wit...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-03-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/20/7/1891 |
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| author | Chien-Ching Lee Chia-Chun Chuang Bo-Cheng Lai Yi-Chia Huang Jen-Yin Chen Bor-Shyh Lin |
| author_facet | Chien-Ching Lee Chia-Chun Chuang Bo-Cheng Lai Yi-Chia Huang Jen-Yin Chen Bor-Shyh Lin |
| author_sort | Chien-Ching Lee |
| collection | DOAJ |
| description | In clinical practice, the catheter has to be placed at an accurate position during anesthesia administration. However, effectively guiding the catheter to the accurate position in deeper tissues can be difficult for an inexperienced practitioner. We aimed to address the current issues associated with catheter placement using a novel smart assistance system for blood vessel catheter placement. We used a hollow introducer needle embedded with dual wavelength (690 and 850 nm) optical fibers to advance the tip into the subclavian vessels in anesthetized piglets. The results showed average optical density changes, and the difference between the absorption spectra and hemoglobin concentrations of different tissue components effectively identified different tissues (p < 0.05). The radial basis function neural network (RBFNN) technique was applied to distinguish tissue components (the F-measure value and accuracy were 93.02% and 94%, respectively). Finally, animal experiments were designed to validate the performance of the proposed system. Using this system based on oximetry, we easily navigated the needle tip to the target vessel. Based on the experimental results, the proposed system could effectively distinguish different tissue layers of the animals. |
| first_indexed | 2024-03-11T10:10:07Z |
| format | Article |
| id | doaj.art-ab7eac1e1827429ca9708fc27fe7494b |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-11T10:10:07Z |
| publishDate | 2020-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-ab7eac1e1827429ca9708fc27fe7494b2023-11-16T14:34:59ZengMDPI AGSensors1424-82202020-03-01207189110.3390/s20071891A Novel Smart Assistance System for Blood Vessel Approaching: A Technical Report Based on OximetryChien-Ching Lee0Chia-Chun Chuang1Bo-Cheng Lai2Yi-Chia Huang3Jen-Yin Chen4Bor-Shyh Lin5Institute of Imaging and Biomedical Photonics, National Chiao Tung University, Tainan 71150, TaiwanDepartment of Anesthesia, An Nan Hospital, China Medical University, Tainan 70965, TaiwanInstitute of Imaging and Biomedical Photonics, National Chiao Tung University, Tainan 71150, TaiwanInstitute of Imaging and Biomedical Photonics, National Chiao Tung University, Tainan 71150, TaiwanDepartment of Anesthesiology, Chimei Medical Center, Tainan 71004, TaiwanInstitute of Imaging and Biomedical Photonics, National Chiao Tung University, Tainan 71150, TaiwanIn clinical practice, the catheter has to be placed at an accurate position during anesthesia administration. However, effectively guiding the catheter to the accurate position in deeper tissues can be difficult for an inexperienced practitioner. We aimed to address the current issues associated with catheter placement using a novel smart assistance system for blood vessel catheter placement. We used a hollow introducer needle embedded with dual wavelength (690 and 850 nm) optical fibers to advance the tip into the subclavian vessels in anesthetized piglets. The results showed average optical density changes, and the difference between the absorption spectra and hemoglobin concentrations of different tissue components effectively identified different tissues (p < 0.05). The radial basis function neural network (RBFNN) technique was applied to distinguish tissue components (the F-measure value and accuracy were 93.02% and 94%, respectively). Finally, animal experiments were designed to validate the performance of the proposed system. Using this system based on oximetry, we easily navigated the needle tip to the target vessel. Based on the experimental results, the proposed system could effectively distinguish different tissue layers of the animals.https://www.mdpi.com/1424-8220/20/7/1891catheter placementanesthesiaabsorption spectratissue componentsoptical density changehemoglobin concentration |
| spellingShingle | Chien-Ching Lee Chia-Chun Chuang Bo-Cheng Lai Yi-Chia Huang Jen-Yin Chen Bor-Shyh Lin A Novel Smart Assistance System for Blood Vessel Approaching: A Technical Report Based on Oximetry Sensors catheter placement anesthesia absorption spectra tissue components optical density change hemoglobin concentration |
| title | A Novel Smart Assistance System for Blood Vessel Approaching: A Technical Report Based on Oximetry |
| title_full | A Novel Smart Assistance System for Blood Vessel Approaching: A Technical Report Based on Oximetry |
| title_fullStr | A Novel Smart Assistance System for Blood Vessel Approaching: A Technical Report Based on Oximetry |
| title_full_unstemmed | A Novel Smart Assistance System for Blood Vessel Approaching: A Technical Report Based on Oximetry |
| title_short | A Novel Smart Assistance System for Blood Vessel Approaching: A Technical Report Based on Oximetry |
| title_sort | novel smart assistance system for blood vessel approaching a technical report based on oximetry |
| topic | catheter placement anesthesia absorption spectra tissue components optical density change hemoglobin concentration |
| url | https://www.mdpi.com/1424-8220/20/7/1891 |
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