Sensors, Signal and Image Processing in Biomedicine and Assisted Living |
Autore | Iakovidis Dimitris |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (312 p.) |
Soggetto topico | Information technology industries |
Soggetto non controllato |
high efficiency video coding
low complexity hardware friendly vehicular ad-hoc networks color vision deficiency image re-coloring visual assistance video pletysmography image processing heart rate estimation human-computer interaction biomedicine healthcare assisted living action classification human motor behavior computer vision deep learning pose tracking Brain-Computer Interface Blind Source Separation Movement Related Independent Component Wavelet Transform Convolutional Neural Network brain cancer hyperspectral imaging intraoperative imaging feature selection image-guided surgery genetic algorithm particle swarm optimization ant colony optimization support vector machine machine learning visual perception electrocardiogram (ECG) coder non-uniform sampling telecardiology compressed sensing strain gauge tremor quantification Parkinson's disease action tremors wearables biosensors sleep Fitbit Oura Hexoskin Withings cognition medical optics and biotechnology optical pathology convolutional neural networks tissue diagnostics tissue characterization glioblastoma contactless measurement vital signs RGB-thermal image processing infection diseases artificial neural network Doppler radar heart rate real-time processing visually challenged navigation image analysis fuzzy sets convolutional neural networks (CNNs) eye tracking motorized wheelchair ultrasonic proximity sensors laryngeal cancer contact endoscopy narrow band imaging automatic classification feature extraction Barrett neoplasia tissue detection recurrent neural networks upper GI tract |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557758703321 |
Iakovidis Dimitris
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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Signal Processing Using Non-invasive Physiological Sensors |
Autore | Niazi Imran Khan |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (222 p.) |
Soggetto topico | Medical equipment & techniques |
Soggetto non controllato |
movement intention
brain–computer interface movement-related cortical potential neurorehabilitation phonocardiogram machine learning empirical mode decomposition feature extraction mel-frequency cepstral coefficients support vector machines computer aided diagnosis congenital heart disease statistical analysis convolutional neural network (CNN) long short-term memory (LSTM) emotion recognition EEG ECG GSR deep neural network physiological signals electroencephalography Brain-Computer Interface multiscale principal component analysis successive decomposition index motor imagery mental imagery classification hybrid brain-computer interface (BCI) home automation electroencephalogram (EEG) steady-state visually evoked potential (SSVEP) eye blink short-time Fourier transform (STFT) convolution neural network (CNN) human machine interface (HMI) rehabilitation wheelchair quadriplegia Raspberry Pi image gradient AMR voice Open-CV image processing acoustic startle reaction response reflex blink mobile sound stroke EMG brain-computer interface myoelectric control pattern recognition functional near-infrared spectroscopy z-score method channel selection region of interest channel of interest respiratory rate (RR) Electrocardiogram (ECG) ECG derived respiration (EDR) auscultation sites pulse plethysmograph biomedical signal processing feature selection and reduction discrete wavelet transform hypertension |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910566473903321 |
Niazi Imran Khan
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Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
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Lo trovi qui: Univ. Federico II | ||
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