Development of a Smart Spinal Epidural Needle Based on Load Cell Sensors
In this article, we have developed a high-accuracy and low-cost smart epidural needle system. It is based on force puncture sensing and guidance mechanism that enhances success rate and reduces the risks of accidental punctures. The design incorporates a subminiature load cell embedded in the spinal...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10313269/ |
| _version_ | 1797627795898105856 |
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| author | Murad Althobaiti Yara Alagl Najwa Ali Alzahrani Sara Alzahrani Sajid Ali Nasir G. Hariri Kamran Hameed Ibraheem Al-Naib |
| author_facet | Murad Althobaiti Yara Alagl Najwa Ali Alzahrani Sara Alzahrani Sajid Ali Nasir G. Hariri Kamran Hameed Ibraheem Al-Naib |
| author_sort | Murad Althobaiti |
| collection | DOAJ |
| description | In this article, we have developed a high-accuracy and low-cost smart epidural needle system. It is based on force puncture sensing and guidance mechanism that enhances success rate and reduces the risks of accidental punctures. The design incorporates a subminiature load cell embedded in the spinal needle which measures the force exerted by each tissue layer on the needle tip. By identifying the force range for each layer, the needle can be safely inserted and accurately reach the targeted area. Accordingly, a classifier model for this identification process was developed and tested. More than a hundred experimental readings were collected and used for training the developed classifier model of the system. Furthermore, a phantom with six spinal cord layers, that mimics the properties of different spinal tissue layers, was built and utilized for testing purposes. The experimental results of the developed smart spinal epidural needle system highlight the ability of the system to identify the needle location with an accuracy of about 86.7%. Hence, it provides promising outcomes and a feasible solution for the future development of spinal epidural needle systems. |
| first_indexed | 2024-03-11T10:30:33Z |
| format | Article |
| id | doaj.art-4a82c6a3d846434cb0e813c59cae8513 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-03-11T10:30:33Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-4a82c6a3d846434cb0e813c59cae85132023-11-15T00:00:44ZengIEEEIEEE Access2169-35362023-01-011112541112542010.1109/ACCESS.2023.333150010313269Development of a Smart Spinal Epidural Needle Based on Load Cell SensorsMurad Althobaiti0https://orcid.org/0000-0002-8084-6916Yara Alagl1https://orcid.org/0009-0006-1004-4391Najwa Ali Alzahrani2https://orcid.org/0009-0002-0992-6187Sara Alzahrani3Sajid Ali4https://orcid.org/0000-0003-3451-1047Nasir G. Hariri5Kamran Hameed6https://orcid.org/0000-0003-3295-2981Ibraheem Al-Naib7https://orcid.org/0000-0002-7499-0655Biomedical Engineering Department, College of Engineering, Imam Abdulrahman Bin Faisal University, Dammam, Saudi ArabiaBiomedical Engineering Department, College of Engineering, Imam Abdulrahman Bin Faisal University, Dammam, Saudi ArabiaBiomedical Engineering Department, College of Engineering, Imam Abdulrahman Bin Faisal University, Dammam, Saudi ArabiaBiomedical Engineering Department, College of Engineering, Imam Abdulrahman Bin Faisal University, Dammam, Saudi ArabiaDepartment of Mechanical and Energy Engineering, College of Engineering, Imam Abdulrahman Bin Faisal University, Dammam, Saudi ArabiaDepartment of Mechanical and Energy Engineering, College of Engineering, Imam Abdulrahman Bin Faisal University, Dammam, Saudi ArabiaBiomedical Engineering Department, College of Engineering, Imam Abdulrahman Bin Faisal University, Dammam, Saudi ArabiaBioengineering Department, King Fahd University of Petroleum & Minerals, Dhahran, Saudi ArabiaIn this article, we have developed a high-accuracy and low-cost smart epidural needle system. It is based on force puncture sensing and guidance mechanism that enhances success rate and reduces the risks of accidental punctures. The design incorporates a subminiature load cell embedded in the spinal needle which measures the force exerted by each tissue layer on the needle tip. By identifying the force range for each layer, the needle can be safely inserted and accurately reach the targeted area. Accordingly, a classifier model for this identification process was developed and tested. More than a hundred experimental readings were collected and used for training the developed classifier model of the system. Furthermore, a phantom with six spinal cord layers, that mimics the properties of different spinal tissue layers, was built and utilized for testing purposes. The experimental results of the developed smart spinal epidural needle system highlight the ability of the system to identify the needle location with an accuracy of about 86.7%. Hence, it provides promising outcomes and a feasible solution for the future development of spinal epidural needle systems.https://ieeexplore.ieee.org/document/10313269/Epidural spacespinal needleload sensorepidural anesthesiaforce measurements |
| spellingShingle | Murad Althobaiti Yara Alagl Najwa Ali Alzahrani Sara Alzahrani Sajid Ali Nasir G. Hariri Kamran Hameed Ibraheem Al-Naib Development of a Smart Spinal Epidural Needle Based on Load Cell Sensors IEEE Access Epidural space spinal needle load sensor epidural anesthesia force measurements |
| title | Development of a Smart Spinal Epidural Needle Based on Load Cell Sensors |
| title_full | Development of a Smart Spinal Epidural Needle Based on Load Cell Sensors |
| title_fullStr | Development of a Smart Spinal Epidural Needle Based on Load Cell Sensors |
| title_full_unstemmed | Development of a Smart Spinal Epidural Needle Based on Load Cell Sensors |
| title_short | Development of a Smart Spinal Epidural Needle Based on Load Cell Sensors |
| title_sort | development of a smart spinal epidural needle based on load cell sensors |
| topic | Epidural space spinal needle load sensor epidural anesthesia force measurements |
| url | https://ieeexplore.ieee.org/document/10313269/ |
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