A multimodal physiological and psychological dataset for human with mental stress induced myocardial ischemia

Peng, Xiaoting1,2,3; Li, Dantong1,2,3; Quan, Jun2; Wu, Chao2; Li, Huixian1,2,3; Liu, Entao4; Hu, Lianting1,2,3; Huang, Shuai1,2,3; Kong, Lingcong1,2,3; Chen, Xuanhui1,2,3; Yang, Huan1,2,3; Liang, Huiying1,2,3; Wang, Shuxia4; Ma, Huan2; Geng, Qingshan5

2024-06-27

10.1038/s41597-024-03462-2

SCIENTIFIC DATA   影响因子和分区

2052-4463

Accurate differentiation between angina with no obstructive coronary arteries (ANOCA) and mental stress-induced myocardial ischemia (MSIMI) is crucial for tailored treatment strategies, yet public data scarcity hampers understanding. Given the higher incidence of both conditions in women, this study prospectively enrolled 80 female ANOCA and 39 age-matched female controls, subjecting them to three types of mental stress tasks. ECGs were continuously monitored across Rest, Stress, and Recover stages of the mental stress tasks, with PET/CT imaging during the Stress stage to evaluate myocardial perfusion. With PET/CT serving as the gold standard for MSIMI diagnosis, 35 of the 80 ANOCA patients were diagnosed as MSIMI. Using ECG variables from different stages of mental stress tasks, we developed five machine learning models to diagnose MSIMI. The results showed that ECG data from different stages provide valuable information for MSIMI classification. Additionally, the dataset encompassed demographic details, physiological, and blood sample test results of the patients. We anticipate this new dataset will significantly push further progress in ANOCA and MSIMI research.

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英语

通讯

Young Scientists Fund of National Natural Science Foundation of China[82200558] ; Guangdong Provincial Medical Science and Technology Research Fund Project[A2023027] ; National Key Research and Development Program of China[2019YFB1404803] ; General Program of National Natural Science Foundation of China[62076076] ; Excellent Young Scientists Fund[82122036] ; Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application[2022B1212010011]

Science & Technology - Other Topics

Multidisciplinary Sciences

WOS:001266333800003

NATURE PORTFOLIO

Web of Science

1.Southern Med Univ, Guangdong Prov Peoples Hosp, Guangdong Acad Med Sci, Med Big Data Ctr, Guangzhou 510080, Peoples R China
2.Guangdong Prov Cardiovasc Inst, Guangzhou 510080, Guangdong, Peoples R China
3.Guangdong Acad Med Sci, Guangdong Prov Peoples Hosp, Guangdong Prov Key Lab Artificial Intelligence Med, Guangzhou 510080, Peoples R China
4.Guangdong Acad Med Sci, Guangdong Prov Peoples Hosp, Dept Nucl Med, Guangzhou, Peoples R China
5.Jinan Univ, Southern Univ Sci & Technol, Shenzhen Peoples Hosp, Affiliated Hosp 1,Dept Cardiol,Clin Med Coll 2, Shenzhen 518020, Guangdong, Peoples R China

Peng, Xiaoting,Li, Dantong,Quan, Jun,et al. A multimodal physiological and psychological dataset for human with mental stress induced myocardial ischemia[J]. SCIENTIFIC DATA,2024,11(1).

Peng, Xiaoting.,Li, Dantong.,Quan, Jun.,Wu, Chao.,Li, Huixian.,...&Geng, Qingshan.(2024).A multimodal physiological and psychological dataset for human with mental stress induced myocardial ischemia.SCIENTIFIC DATA,11(1).

Peng, Xiaoting,et al."A multimodal physiological and psychological dataset for human with mental stress induced myocardial ischemia".SCIENTIFIC DATA 11.1(2024).