Pineda, Aruane Mello 
; Vicchietti, Mario Lucas ; Carra, Rafael Bernhart ; Thome-Souza, Sigride ; Salgado, Daniele; Rodrigues, Francisco Aparecido ; Campanharo, Andriana ; Cury, Rubens Gisbert
Source: Biomedical Signal Processing and Control. Unidades: ICMC, FM
Subjects: CLASSIFICAÇÃO, REDES COMPLEXAS, ELETROENCEFALOGRAFIA
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ABNT
PINEDA, Aruane Mello et al. Exploring quantile graphs: a novel approach for classifying Parkinson’s disease-related events during the TUG test. Biomedical Signal Processing and Control, v. 114, p. 1-10, 2026Tradução . . Disponível em: https://doi.org/10.1016/j.bspc.2025.109269. Acesso em: 03 maio 2026.APA
Pineda, A. M., Vicchietti, M. L., Carra, R. B., Thome-Souza, S., Salgado, D., Rodrigues, F. A., et al. (2026). Exploring quantile graphs: a novel approach for classifying Parkinson’s disease-related events during the TUG test. Biomedical Signal Processing and Control, 114, 1-10. doi:10.1016/j.bspc.2025.109269NLM
Pineda AM, Vicchietti ML, Carra RB, Thome-Souza S, Salgado D, Rodrigues FA, Campanharo A, Cury RG. Exploring quantile graphs: a novel approach for classifying Parkinson’s disease-related events during the TUG test [Internet]. Biomedical Signal Processing and Control. 2026 ; 114 1-10.[citado 2026 maio 03 ] Available from: https://doi.org/10.1016/j.bspc.2025.109269Vancouver
Pineda AM, Vicchietti ML, Carra RB, Thome-Souza S, Salgado D, Rodrigues FA, Campanharo A, Cury RG. Exploring quantile graphs: a novel approach for classifying Parkinson’s disease-related events during the TUG test [Internet]. Biomedical Signal Processing and Control. 2026 ; 114 1-10.[citado 2026 maio 03 ] Available from: https://doi.org/10.1016/j.bspc.2025.109269
