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Identifying Methamphetamine Abstainers With Convolutional Neural Networks and Short-Time Fourier Transform.
Lai, Xin; Huang, Qiuping; Xin, Jiang; Yu, Hufei; Wen, Jingxi; Huang, Shucai; Zhang, Hao; Shen, Hongxian; Tang, Yan.
Afiliación
  • Lai X; School of Computer Science and Engineering, Central South University, Changsha, China.
  • Huang Q; National Clinical Research Center for Mental Disorders, Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China.
  • Xin J; Institute of Mental Health of Central South University, Chinese National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Hunan Medical Center for Mental Health, Changsha, China.
  • Yu H; School of Computer Science and Engineering, Central South University, Changsha, China.
  • Wen J; School of Computer Science and Engineering, Central South University, Changsha, China.
  • Huang S; School of Computer Science and Engineering, Central South University, Changsha, China.
  • Zhang H; National Clinical Research Center for Mental Disorders, Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China.
  • Shen H; Institute of Mental Health of Central South University, Chinese National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Hunan Medical Center for Mental Health, Changsha, China.
  • Tang Y; The Fourth People's Hospital of Wuhu, Wuhu, China.
Front Psychol ; 12: 684001, 2021.
Article en En | MEDLINE | ID: mdl-34456796
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Front Psychol Año: 2021 Tipo del documento: Article País de afiliación: China
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Front Psychol Año: 2021 Tipo del documento: Article País de afiliación: China