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Measuring complexity of biomedical signals
(John Wiley & Sons Inc, 2018-09)
It is well known that biomedical signals, such as heart rate variability (HRV), electrocardiogram (ECG), electroencephalogram (EEG), and voice, arise from complex nonlinear dynamical systems, as the cardiovascular, nervous, ...
Biomedical signals and machine learning in amyotrophic lateral sclerosis: a systematic review
(Biomedical Engineering Online, 2023)
Detecção do complexo QRS através de morfologia matemática multiescalar
(Universidade Tecnológica Federal do ParanáCuritibaPrograma de Pós-Graduação em Engenharia Biomédica, 2012-09-05)
This work presents the multiscale mathematical morphology with four scales applied in the ECG signal for detection of the QRS complex. To develop this Biomedical Engineering multidisciplinary work were used knowledge of ...
Pipeline for the Classification of Subjects with Neurodegenerative Diseases Based on Biomedical Signal Processing and Machine Learning Techniques
(Grupo de Investigación en Bioinstrumentación e Ingeniería Clínica (GIBIC)Medellín, 2022)
Time - Frequency analysis of biosignals
(2009-09-01)
Time - Frequency analysis of biosignals
(2009-09-01)
METHOD AND APPARATUS FOR ANALYSING BIOMEDICAL SIGNALS
A method of analysing biomedical signals, and particularly electrocardiograph signals that have been received over a period of time, using data processing equipment. The method comprises storing data representing the ...
EEG Signals classification using linear and non-linear discriminant methods
(Universidad Autónoma de Occidente, 2013-04)
Plataforma web para el registro, almacenamiento y lectura de información biomédicaWeb platform for the registration, storage and reading of biomedical information
(Barranquilla, Unuversidad del Norte, 2022, 2022)