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A multimodal physiological and psychological dataset for human with mental stress induced myocardial ischemia.
Peng, Xiaoting; Li, Dantong; Quan, Jun; Wu, Chao; Li, Huixian; Liu, Entao; Hu, Lianting; Huang, Shuai; Kong, Lingcong; Chen, Xuanhui; Yang, Huan; Liang, Huiying; Wang, Shuxia; Ma, Huan; Geng, Qingshan.
Afiliación
  • Peng X; Medical Big Data Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China.
  • Li D; Guangdong Provincial Cardiovascular Institute, Guangzhou, Guangdong Province, 510080, China.
  • Quan J; Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangdong Province, 510080, China.
  • Wu C; Medical Big Data Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China.
  • Li H; Guangdong Provincial Cardiovascular Institute, Guangzhou, Guangdong Province, 510080, China.
  • Liu E; Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangdong Province, 510080, China.
  • Hu L; Guangdong Provincial Cardiovascular Institute, Guangzhou, Guangdong Province, 510080, China.
  • Huang S; Guangdong Provincial Cardiovascular Institute, Guangzhou, Guangdong Province, 510080, China.
  • Kong L; Medical Big Data Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China.
  • Chen X; Guangdong Provincial Cardiovascular Institute, Guangzhou, Guangdong Province, 510080, China.
  • Yang H; Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangdong Province, 510080, China.
  • Liang H; Department of Nuclear Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
  • Wang S; Medical Big Data Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China.
  • Ma H; Guangdong Provincial Cardiovascular Institute, Guangzhou, Guangdong Province, 510080, China.
  • Geng Q; Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangdong Province, 510080, China.
Sci Data ; 11(1): 704, 2024 Jun 27.
Article en En | MEDLINE | ID: mdl-38937514
ABSTRACT
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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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Estrés Psicológico / Isquemia Miocárdica / Electrocardiografía Límite: Female / Humans / Middle aged Idioma: En Revista: Sci Data Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Estrés Psicológico / Isquemia Miocárdica / Electrocardiografía Límite: Female / Humans / Middle aged Idioma: En Revista: Sci Data Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido