Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
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 online resource (318 p.) |
| Soggetto topico |
History of engineering and technology
Technology: general issues |
| Soggetto non controllato |
accelerometer
annotations artificial intelligence atrial fibrillation beta rebound biomedical monitoring brain-machine interface calibration carbon nanotube cardiac time interval cell signal enhancement cell-line analysis cirrhosis classification models classifications compressed sensing convolutional neural network convolutional neural networks Convolutional Neural Networks (CNN) correlation COVID-19 decoding deep learning deep metric learning dimensionality reduction disease management dynamic time warping ECG signal ECG trace image EEG EEG classification electrocardiogram electrocardiogram (ECG) electrocardiography electrodes electromyography electronic nose epileptic seizure detection feature extraction feature selection fiducial point detection gait analysis grasp classification grasp phases analysis heart failure heart rate variability high blood pressure hypertension IMU intrafascicular intraneural k-nearest neighbors classifier Laplacian eigenmaps lens-free shadow imaging technique liver dysfunction locality preserving projections machine learning motor execution motor imagery myoelectric prosthesis n/a osteopenia Parkinson's disease photoplethysmography prediction premature ventricular contraction pressure sensor projection matrices random forest reconstruction dictionaries recording RISC-V sarcopenia seismocardiography sEMG semiconductor metal oxide gas sensor sensors sepsis SHAP signal classifications skin sympathetic nerve activity (SKNA) sympathetic activity (SNA) transfer learning ultra-low-power vagus nerve wearable electroencephalography XAI |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910580203203321 |
Costin Hariton-Nicolae
|
||
| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 online resource (132 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
airway volume analysis
animal rat models artificial intelligence CADx classification models colon cancer colon polyps computed tomography convolutional neural network convolutional neural networks coronary artery disease data augmentation deep learning handcrafted machine learning medical image segmentation microscopic n/a neoplasm metastasis OCT optical biopsy oral carcinoma ovarian neoplasms pancreas prostate carcinoma radiation exposure segmentation SPECT MPI scans tomography transfer learning x-ray computed |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557791503321 |
|
Nishio Mizuho
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 |
|
Drabińska Natalia
|
||
| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||