Heart Rate Information-Based Machine Learning Prediction of Emotions Among Pregnant Women

In this study, the extent to which different emotions of pregnant women can be predicted based on heart rate-relevant information as indicators of autonomic nervous system functioning was explored using various machine learning algorithms. Nine heart rate-relevant autonomic system indicators, includ...

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Detalles Bibliográficos
Autores principales: Li, Xue, Ono, Chiaki, Warita, Noriko, Shoji, Tomoka, Nakagawa, Takashi, Usukura, Hitomi, Yu, Zhiqian, Takahashi, Yuta, Ichiji, Kei, Sugita, Norihiro, Kobayashi, Natsuko, Kikuchi, Saya, Kunii, Yasuto, Murakami, Keiko, Ishikuro, Mami, Obara, Taku, Nakamura, Tomohiro, Nagami, Fuji, Takai, Takako, Ogishima, Soichi, Sugawara, Junichi, Hoshiai, Tetsuro, Saito, Masatoshi, Tamiya, Gen, Fuse, Nobuo, Kuriyama, Shinichi, Yamamoto, Masayuki, Yaegashi, Nobuo, Homma, Noriyasu, Tomita, Hiroaki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Psychiatry
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8830335/
https://www.ncbi.nlm.nih.gov/pubmed/35153864
http://dx.doi.org/10.3389/fpsyt.2021.799029

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8830335/
https://www.ncbi.nlm.nih.gov/pubmed/35153864
http://dx.doi.org/10.3389/fpsyt.2021.799029

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