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Advanced Signal Processing in Wearable Sensors for Health Monitoring

Resumen/Descripción – provisto por la editorial

No disponible.

Palabras clave – provistas por la editorial

automated dietary monitoring; eating detection; eating timing error analysis; biomedical signal processing; smart eyeglasses; wearable health monitoring; artificial neural network; joint moment prediction; extreme learning machine; Hill muscle model; online input variables; Review; ECG; Signal Processing; Machine Learning; Cardiovascular Disease; Anomaly Detection; photoplethysmography; motion artifact; independent component analysis; multi-wavelength; continuous arterial blood pressure; systolic blood pressure; diastolic blood pressure; deep convolutional autoencoder; genetic algorithm; electrocardiography; vectorcardiography; myocardial infarction; long short-term memory; spline; multilayer perceptron; pain detection; stress detection; wearable sensor; physiological signals; behavioral signals; non-invasive system; hemodynamics; arterial blood pressure; central venous pressure; pulmonary arterial pressure; intracranial pressure; heart rate measurement; remote HR; remote PPG; remote BCG; blind source separation; drowsiness detection; EEG; frequency-domain features; multicriteria optimization; machine learning; n/a

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Información

Tipo de recurso:

libros

ISBN electrónico

978-3-0365-3888-4

País de edición

Suiza