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Selected Papers from the 8th Symposium on Micro-Nano Science and Technology on Micromachines / Koji Miyazaki, Yuya Morimoto, Norihisa Miki
| Selected Papers from the 8th Symposium on Micro-Nano Science and Technology on Micromachines / Koji Miyazaki, Yuya Morimoto, Norihisa Miki |
| Autore | Miyazaki Koji |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (154 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
stretchable electronic device
Cu-Ni alloy bioremediation flexible electronic device microfluidic device tactile sensor self-organization stretchability origami flexible device pH indicator additive manufacturing fatigue Nafion Game of Life MEMS micropatterns stretchable elastomer microcantilever wearable polydimethylsiloxane reaction-diffusion system capacitive force sensor slipping detection microfabrication alginate hydrogel microfluidics shape from silhouette artificial cochlea micro/nano technology ion concentration polarization thermoelectric generator ultraviolet treatment micro-stereolithography proximity sensor blink 3D shape reconstruction reductive sintering cellular automata crack configuration Young model transparent object femtosecond laser piezoelectric material Turing pattern model microtubes thermoelectric film luciferin-luciferase assay fluorescein isothiocyanate (FITC) printing triple-coaxial flow photopolymer metal conductive track ion depletion zone sensors microbes direct writing outer hair cell dye-sensitized photovoltaic cells microfiber spinning ATP 3D printing parasitic capacitance |
| ISBN |
9783038977292
3038977292 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346859803321 |
Miyazaki Koji
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Signal Processing Using Non-invasive Physiological Sensors
| Signal Processing Using Non-invasive Physiological Sensors |
| Autore | Niazi Imran Khan |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (222 p.) |
| Soggetto topico | Medical equipment and techniques |
| Soggetto non controllato |
acoustic
AMR voice auscultation sites biomedical signal processing blink brain-computer interface Brain-Computer Interface channel of interest channel selection classification computer aided diagnosis congenital heart disease convolution neural network (CNN) convolutional neural network (CNN) deep neural network discrete wavelet transform ECG ECG derived respiration (EDR) EEG Electrocardiogram (ECG) electroencephalogram (EEG) electroencephalography EMG emotion recognition empirical mode decomposition eye blink feature extraction feature selection and reduction functional near-infrared spectroscopy GSR home automation human machine interface (HMI) hybrid brain-computer interface (BCI) hypertension image gradient image processing long short-term memory (LSTM) machine learning mel-frequency cepstral coefficients mental imagery mobile motor imagery movement intention movement-related cortical potential multiscale principal component analysis myoelectric control neurorehabilitation Open-CV pattern recognition phonocardiogram physiological signals pulse plethysmograph quadriplegia Raspberry Pi reaction reflex region of interest rehabilitation respiratory rate (RR) response short-time Fourier transform (STFT) sound startle statistical analysis steady-state visually evoked potential (SSVEP) stroke successive decomposition index support vector machines wheelchair z-score method |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566473903321 |
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Niazi Imran Khan
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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