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Intelligent Biosignal Processing in Wearable and Implantable Sensors
| Intelligent Biosignal Processing in Wearable and Implantable Sensors |
| Autore | Costin Hariton-Nicolae |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (318 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
electrocardiogram
deep metric learning k-nearest neighbors classifier premature ventricular contraction dimensionality reduction classifications Laplacian eigenmaps locality preserving projections compressed sensing convolutional neural network EEG epileptic seizure detection RISC-V ultra-low-power sepsis atrial fibrillation prediction heart rate variability feature extraction random forest annotations myoelectric prosthesis sEMG grasp phases analysis grasp classification machine learning electronic nose liver dysfunction cirrhosis semiconductor metal oxide gas sensor vagus nerve intraneural decoding intrafascicular recording carbon nanotube artificial intelligence lens-free shadow imaging technique cell-line analysis cell signal enhancement deep learning ECG signal reconstruction dictionaries projection matrices signal classifications osteopenia sarcopenia XAI SHAP IMU gait analysis sensors convolutional neural networks Parkinson's disease biomedical monitoring accelerometer pressure sensor disease management electromyography correlation high blood pressure hypertension photoplethysmography electrocardiography calibration classification models COVID-19 ECG trace image transfer learning Convolutional Neural Networks (CNN) feature selection sympathetic activity (SNA) skin sympathetic nerve activity (SKNA) electrodes electrocardiogram (ECG) cardiac time interval dynamic time warping fiducial point detection heart failure seismocardiography wearable electroencephalography motor imagery motor execution beta rebound brain-machine interface EEG classification |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910580203203321 |
Costin Hariton-Nicolae
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Machine Learning/Deep Learning in Medical Image Processing
| Machine Learning/Deep Learning in Medical Image Processing |
| Autore | Nishio Mizuho |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (132 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
pancreas
segmentation computed tomography deep learning data augmentation neoplasm metastasis ovarian neoplasms radiation exposure tomography x-ray computed prostate carcinoma microscopic convolutional neural network machine learning handcrafted oral carcinoma medical image segmentation colon cancer colon polyps OCT optical biopsy animal rat models CADx airway volume analysis artificial intelligence coronary artery disease SPECT MPI scans convolutional neural networks transfer learning classification models |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557791503321 |
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Nishio Mizuho
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Recent Advances in Volatile Organic Compound Analysis as Diagnostic Biomarkers
| Recent Advances in Volatile Organic Compound Analysis as Diagnostic Biomarkers |
| Autore | Drabińska Natalia |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (224 p.) |
| Soggetto topico |
Research & information: general
Chemistry |
| Soggetto non controllato |
liquid–liquid extraction
volatile compounds urine method optimization GC-MS 1H-NMR iron deficiency anaemia iron supplementation volatile organic compounds (VOCs) intestinal metabolome gut microbiome CDH microbiome VOCs spiroergometry outcome exhaled breath eNose smoking asthma COPD NTD-GC-MS breath lung cancer biomarkers volatile organic compounds urine analysis comprehensive two-dimensional gas chromatography kidney diseases urinary biomarkers hepatocellular carcinoma diagnosis headspace analysis untargeted analysis breath analysis cancer biomarkers volatolomics whole grain rye comprehensive two-dimensional gas chromatography–mass spectrometry dietary fiber e-nose electronic nose breathing rhythm mechanical ventilation anesthesia supplemental oxygen oxygen toxicity lipid peroxidation volatile aldehydes pentanal hexanal classification models dairy cows fecal headspace Mycobacterium avium ssp. paratuberculosis (MAP) paratuberculosis random forest stable air volatile organic compound (VOC) biomarker MCC–IMS ventilator-induced lung injury metabolome feces neonates fermentation protein carbohydrate short chain fatty acid metabolites volatile organic compound acute gastritis antibiotic treatment treatment dynamics: microbiota mid-infrared spectroscopy short-chain fatty acid alpha-keto acid Helicobacter pylori MOX sensors low sensing chamber volume calibration transfer standard samples piecewise direct standardization correlation alignment breath sampling pattern recognition |
| ISBN | 3-0365-5349-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910619463903321 |
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Drabińska Natalia
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| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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