Cargando…
Severity Classification Using Dynamic Time Warping–Based Voice Biomarkers for Patients With COVID-19: Feasibility Cross-Sectional Study
BACKGROUND: In Japan, individuals with mild COVID-19 illness previously required to be monitored in designated areas and were hospitalized only if their condition worsened to moderate illness or worse. Daily monitoring using a pulse oximeter was a crucial indicator for hospitalization. However, a dr...
Autores principales: | Watase, Teruhisa, Omiya, Yasuhiro, Tokuno, Shinichi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10631492/ https://www.ncbi.nlm.nih.gov/pubmed/37982072 http://dx.doi.org/10.2196/50924 |
Ejemplares similares
-
Discrimination of mild cognitive impairment based on involuntary changes caused in voice elements
por: Higuchi, Masakazu, et al.
Publicado: (2023) -
Mental status assessment of disaster relief personnel by vocal affect display based on voice emotion recognition
por: Mitsuyoshi, Shunji, et al.
Publicado: (2017) -
Distinguish the Severity of Illness Associated with Novel Coronavirus (COVID-19) Infection via Sustained Vowel Speech Features
por: Omiya, Yasuhiro, et al.
Publicado: (2023) -
Effectiveness of a Voice-Based Mental Health Evaluation System for Mobile Devices: Prospective Study
por: Higuchi, Masakazu, et al.
Publicado: (2020) -
Classification of genomic signals using dynamic time warping
por: Skutkova, Helena, et al.
Publicado: (2013)