Detection of coronary microvascular dysfunction based on machine learning algorithm with multidimensional temporal-spatial features from electrocardiogram.

Zhao X, Gong Y, Xia L, Zhang J, Huang T, Mao J, Li J, Liu H

Open source

DOI
10.1088/1361-6579/ae7799
Published
2026 Jun 29
Container
Physiological measurement
Publisher
Not recorded
Open access
unknown

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BibTeX

@article{allodium:10.1088/1361-6579/ae7799,
  title = {Detection of coronary microvascular dysfunction based on machine learning algorithm with multidimensional temporal-spatial features from electrocardiogram.},
  author = {Zhao X and Gong Y and Xia L and Zhang J and Huang T and Mao J and Li J and Liu H},
  year = {2026},
  journal = {Physiological measurement},
  doi = {10.1088/1361-6579/ae7799},
  url = {https://doi.org/10.1088/1361-6579/ae7799}
}

RIS

TY  - JOUR
TI  - Detection of coronary microvascular dysfunction based on machine learning algorithm with multidimensional temporal-spatial features from electrocardiogram.
AU  - Zhao X
AU  - Gong Y
AU  - Xia L
AU  - Zhang J
AU  - Huang T
AU  - Mao J
AU  - Li J
AU  - Liu H
PY  - 2026
JO  - Physiological measurement
DO  - 10.1088/1361-6579/ae7799
UR  - https://doi.org/10.1088/1361-6579/ae7799
ER  - 

APA

X, Z., Y, G., L, X., J, Z., T, H., J, M., J, L., & H, L. (2026). Detection of coronary microvascular dysfunction based on machine learning algorithm with multidimensional temporal-spatial features from electrocardiogram.. Physiological measurement. https://doi.org/10.1088/1361-6579/ae7799

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