Advances in Non-Invasive Biomedical Signal Sensing and Processing with Machine L
Titel: Advances in Non-Invasive Biomedical Signal Sensing and Processing with Machine Learning, Einband: Taschenbuch, Autor: Saeed Mian Qaisar, Verlag: Springer International Publishing, Springer Nature Switzerland, Sprache: Englisch, Seiten: 392, Maße: 235x155x22 mm, Gewicht: 593 g, Verkäufer: buch-mimpf, Schlagworte: Artificial Intelligence Biomedical Signal Processing Chronic obstructive pulmonary (COP) Compression Dimension reduction Electroencephalogram (EEG) Electromyography (EMG) Electrooculography (EOG) Empirical Mode Decomposition Features extraction Fourier Analysis Machine Learning Non-invasive sensing Pre-processing, phonocardiogram (PCG) Time-frequency analysis Wavelet Transform classification deep learning electrocardiogram (ECG) optimization algorithms.
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