Development and external validation of a novel modality for rapid recognition of aortic dissection based on peripheral pulse oximetry waveforms

This study demonstrated the feasibility and strong performance of identifying AD based on peripheral pulse oximetry waveforms in high-risk chest pain populations in the emergency setting. The findings also provided valuable insights for future human fluid dynamics simulations to elucidate the impact of AD on blood flow in greater detail.

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Publication Details

Journal
Medical Physics
Published
2024-09-13
DOI
https://doi.org/10.1002/mp.17405
Citations
1
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
article
Field-Weighted Citation Impact
0.18

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article

Development and external validation of a novel modality for rapid recognition of aortic dissection based on peripheral pulse oximetry waveforms

Zhe Luo, Wanting Zhou, Jing‐chao Luo, Minghao Luo et al.
1 citations
Medical Physics
Non-Invasive Vital Sign Monitoring
0.18
article

Development and external validation of a novel modality for rapid recognition of aortic dissection based on peripheral pulse oximetry waveforms

Zhe Luo, Wanting Zhou, Jing‐chao Luo, Minghao Luo, Guo-Wei Tu, Guorong Gu, Siying Zhou, Chen Zhao, Ying Niu, Xu‐feng Cheng, Feng Sun, Yu‐wei Zhao, Yijie Zhang
article en
1 citations

Abstract

This study demonstrated the feasibility and strong performance of identifying AD based on peripheral pulse oximetry waveforms in high-risk chest pain populations in the emergency setting. The findings also provided valuable insights for future human fluid dynamics simulations to elucidate the impact of AD on blood flow in greater detail.

Medical PhysicsVol. 51(11)
Shanghai Medical College of Fudan University (CN), Sun Yat-sen University (CN), Fudan University (CN), Zhongshan Hospital (CN), The First Affiliated Hospital, Sun Yat-sen University (CN), Jiangsu Province Hospital (CN), Xi’an Jiaotong-Liverpool University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 53%
Non-Invasive Vital Sign Monitoring
0.18
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