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Prediction of menarcheal status of girls using voice features.
Bugdol, Marcin D; Bugdol, Monika N; Lipowicz, Anna M; Mitas, Andrzej W; Bienkowska, Maria J; Wijata, Agata M.
Affiliation
  • Bugdol MD; Faculty of Biomedical Engineering, Silesian University of Technology, Roosevelta 40, 41-800 Zabrze, Poland. Electronic address: marcin.bugdol@polsl.pl.
  • Bugdol MN; Faculty of Biomedical Engineering, Silesian University of Technology, Roosevelta 40, 41-800 Zabrze, Poland.
  • Lipowicz AM; Wroclaw University of Environmental and Life Science, Department of Anthropology, Wroclaw, Poland.
  • Mitas AW; Faculty of Biomedical Engineering, Silesian University of Technology, Roosevelta 40, 41-800 Zabrze, Poland.
  • Bienkowska MJ; Faculty of Biomedical Engineering, Silesian University of Technology, Roosevelta 40, 41-800 Zabrze, Poland.
  • Wijata AM; Faculty of Biomedical Engineering, Silesian University of Technology, Roosevelta 40, 41-800 Zabrze, Poland.
Comput Biol Med ; 100: 296-304, 2018 09 01.
Article in En | MEDLINE | ID: mdl-29150091
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Voice / Algorithms / Signal Processing, Computer-Assisted / Menarche / Support Vector Machine Type of study: Prognostic_studies / Risk_factors_studies Limits: Adolescent / Female / Humans Language: En Journal: Comput Biol Med Year: 2018 Document type: Article Country of publication: United States
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Voice / Algorithms / Signal Processing, Computer-Assisted / Menarche / Support Vector Machine Type of study: Prognostic_studies / Risk_factors_studies Limits: Adolescent / Female / Humans Language: En Journal: Comput Biol Med Year: 2018 Document type: Article Country of publication: United States