Development of a Smart Spinal Epidural Needle Based on Load Cell Sensors-Reference-Cited by-同舟云学术

Development of a Smart Spinal Epidural Needle Based on Load Cell Sensors

Published:2023 Issue: Volume:11 Page:125411-125420
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Althobaiti Murad¹^ORCID,Alagl Yara¹^ORCID,Alzahrani Najwa Ali¹^ORCID,Alzahrani Sara¹,Ali Sajid²^ORCID,Hariri Nasir G.²,Hameed Kamran¹^ORCID,Al-Naib Ibraheem³^ORCID

Affiliation:

1. Biomedical Engineering Department, College of Engineering, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia

2. Department of Mechanical and Energy Engineering, College of Engineering, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia

3. Bioengineering Department, King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia

Funder

Deputyship for Research and Innovation, Ministry of Education of Saudi Arabia, through Imam Abdulrahman Bin Faisal University/College of Engineering

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10313269.pdf?arnumber=10313269

Reference26 articles.

1. Ultrasound control for presumed difficult epidural puncture

2. Ultrasound Using the Transverse Approach to the Lumbar Spine Provides Reliable Landmarks for Labor Epidurals

3. Discriminant analysis for anaesthetic decision-making: an intelligent recognition system for epidural needle insertion

4. Real-time epidural anesthesia guidance using optical coherence tomography needle probe;tang;Quantum Imag Med Surg,2015

5. Epidural Needle Guidance Using Viscoelastic Tissue Response