Vocal Acoustic Features as Potential Biomarkers for Identifying/Diagnosing Depression: A Cross-Sectional Study.

Zhao, Qing; Fan, Hong-Zhen; Li, Yan-Li; Liu, Lei; Wu, Ya-Xue; Zhao, Yan-Li; Tian, Zhan-Xiao; Wang, Zhi-Ren; Tan, Yun-Long; Tan, Shu-Ping

Zhao, Qing; Fan, Hong-Zhen; Li, Yan-Li; Liu, Lei; Wu, Ya-Xue; Zhao, Yan-Li; Tian, Zhan-Xiao; Wang, Zhi-Ren; Tan, Yun-Long; Tan, Shu-Ping.

Afiliação

Zhao Q; Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, China.
Fan HZ; Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, China.
Li YL; Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, China.
Liu L; Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, China.
Wu YX; Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, China.
Zhao YL; Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, China.
Tian ZX; Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, China.
Wang ZR; Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, China.
Tan YL; Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, China.
Tan SP; Peking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital, Beijing, China.

Front Psychiatry ; 13: 815678, 2022.

Article em En | MEDLINE | ID: mdl-35573349

Palavras-chave

MFCC; acoustic characteristics; biomarker; depression; zero-crossing rate

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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