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Métodos Computacionais e Estatísticos no Estudo das Ondas de Frequência dos Sinais Eletroencefalográficos e o Envelhecimento: uma Abordagem Através da Análise Linear do Discriminante., , and . RITA, 20 (2): 90-110 (2013)Data fusion for automated pain recognition., , , , , , , , and . PervasiveHealth, page 261-264. ICST, (2015)Single channel approach for filtering electroencephalographic signals strongly contaminated with facial electromyography., , , , , , , , , and 1 other author(s). Frontiers Comput. Neurosci., (2022)Prediction and Visualisation of SICONV Project Profiles Using Machine Learning., , , , , and . Syst., 10 (6): 252 (2022)On the use of histograms of oriented gradients for tremor detection from sinusoidal and spiral handwritten drawings of people with Parkinson's disease., , , , , , and . Medical Biol. Eng. Comput., 59 (7-8): 195-214 (2021)Evaluation of Deep Brain Stimulation Effect on Motor Signs of Individuals with Movement Disorders Through Gaussian Models., , , , , , and . NER, page 585-588. IEEE, (2021)Influence of sampling frequency and number of strides on recurrence quantifiers extracted from gait data., , , , , , and . Comput. Biol. Medicine, (2020)RehaBEElitation: the architecture and organization of a serious game to evaluate motor signs in Parkinson's disease., , , , and . PeerJ Comput. Sci., (2023)Objective Evaluation of Bradykinesia Using the RehaBEElitation Serious Game., , , , , and . COMPENG, page 1-5. IEEE, (2022)Freezing of gait in Parkinson's disease: Classification using computational intelligence., , , , and . Biosyst., (October 2023)