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Advanced Signal Processing in Wearable Sensors for Health Monitoring
| Advanced Signal Processing in Wearable Sensors for Health Monitoring |
| Autore | Abbod Maysam |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (206 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
automated dietary monitoring
eating detection eating timing error analysis biomedical signal processing smart eyeglasses wearable health monitoring artificial neural network joint moment prediction extreme learning machine Hill muscle model online input variables Review ECG Signal Processing Machine Learning Cardiovascular Disease Anomaly Detection photoplethysmography motion artifact independent component analysis multi-wavelength continuous arterial blood pressure systolic blood pressure diastolic blood pressure deep convolutional autoencoder genetic algorithm electrocardiography vectorcardiography myocardial infarction long short-term memory spline multilayer perceptron pain detection stress detection wearable sensor physiological signals behavioral signals non-invasive system hemodynamics arterial blood pressure central venous pressure pulmonary arterial pressure intracranial pressure heart rate measurement remote HR remote PPG remote BCG blind source separation drowsiness detection EEG frequency-domain features multicriteria optimization machine learning |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566462503321 |
Abbod Maysam
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Electromagnetic Technologies for Medical Diagnostics. Fundamental Issues, Clinical Applications and Perspectives
| Electromagnetic Technologies for Medical Diagnostics. Fundamental Issues, Clinical Applications and Perspectives |
| Autore | Crocco Lorenzo |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (240 p.) |
| Soggetto non controllato |
glucose-dependent dielectric properties
bioradar dielectric measurements dielectric spectroscopy snare RF sensing microwave breast imaging stress detection microwave resonators dielectric properties equipment-related confounders EMR monitoring phantom tissue-related confounders microwave imaging automated breast diagnosis breast cancer detection dielectric characterization blood glucose levels breast cancer diagnosis numerical calculation breast phantoms tomography image-guided on-site validation microwave tomography microwave non-invasive measurement on-body antennas psychophysiological state monitoring thermal ablation microwave ablation biological tissues breast cancer open-ended coaxial probe brain stroke monitoring machine learning patient study UWB diagnostics reconstruction medical radar unobtrusive monitoring medical imaging microwave spectroscopy UWB breast and head phantoms |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346687003321 |
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Crocco Lorenzo
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Emotion and Stress Recognition Related Sensors and Machine Learning Technologies
| Emotion and Stress Recognition Related Sensors and Machine Learning Technologies |
| Autore | Kyamakya Kyandoghere |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (550 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
subject-dependent emotion recognition
subject-independent emotion recognition electrodermal activity (EDA) deep learning convolutional neural networks automatic facial emotion recognition intensity of emotion recognition behavioral biometrical systems machine learning artificial intelligence driving stress electrodermal activity road traffic road types Viola-Jones facial emotion recognition facial expression recognition facial detection facial landmarks infrared thermal imaging homography matrix socially assistive robot EEG arousal detection valence detection data transformation normalization mental stress detection electrocardiogram respiration in-ear EEG emotion classification emotion monitoring elderly caring outpatient caring stress detection deep neural network convolutional neural network wearable sensors psychophysiology sensor data analysis time series analysis signal analysis similarity measures correlation statistics quantitative analysis benchmarking boredom emotion GSR classification sensor face landmark detection fully convolutional DenseNets skip-connections dilated convolutions emotion recognition physiological sensing multimodal sensing flight simulation activity recognition physiological signals thoracic electrical bioimpedance smart band stress recognition physiological signal processing long short-term memory recurrent neural networks information fusion pain recognition long-term stress electroencephalography perceived stress scale expert evaluation affective corpus multimodal sensors overload underload interest frustration cognitive load stress research affective computing human-computer interaction deep convolutional neural network transfer learning auxiliary loss weighted loss class center stress sensing smart insoles smart shoes unobtrusive sensing stress center of pressure regression signal processing arousal aging adults musical genres emotion elicitation dataset emotion representation feature selection feature extraction computer science virtual reality head-mounted display |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557346003321 |
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Kyamakya Kyandoghere
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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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Procedures and Methodologies for the Control and Improvement of Energy-Environmental Quality in Construction
| Procedures and Methodologies for the Control and Improvement of Energy-Environmental Quality in Construction |
| Autore | Nastasi Benedetto |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (304 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
CFD
enclosed building wind environment group layout Hangzhou China indoor air quality IAQ enthalpy humidity thermal comfort TC dissatisfaction panel tests nearly zero energy building NZEB indoor environmental quality IEQ indoor air quality models sustainable building multi-criteria decision analysis MCDM MADM user dissatisfaction weights system building comfort PD Residential users Demand Response Flexible loads Dwellings clustering building-integrated photovoltaics-BIPV building heritage energy efficiency traditional materials resilience urban regeneration adapting to change climate performance innovative technologies smoke natural exhaust mechanical exhaust smoke curtain fire dynamics simulator drying heat and moisture transfer hygro-thermal behavior masonry walls wet wall in situ monitoring energy benchmarking university campus energy performance certificate CIBSE TM46 thermal energy efficiency dynamic model energy performance of buildings low temperature district heating indoor comfort renovation urban scale energy requalification building envelope sustainable development and planning standardized interventions of requalification Geographic Information System biometric data biosignals non-intrusive sensing physiological metrics environmental stimuli stress detection health comfort human thermal perception multi-domain interactions noise sensation cross-modal perception |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557332203321 |
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Nastasi Benedetto
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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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Smart Sensors for Structural Health Monitoring
| Smart Sensors for Structural Health Monitoring |
| Autore | Laflamme Simon |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (342 p.) |
| Soggetto non controllato |
NSGA-II
wind force wavelet packet decomposition structural health monitoring amplitude spectrum environmental noise patch antenna damage identification event-triggered sensing Particle Swarm Optimization (PSO) algorithm high-speed train low-velocity impacts concrete structures sensors distribution optimization acceleration digital sampling moiré crack displacement sensor length effect FBG sensor array SHM space window Bayesian blind source separation feature selection stress detection wheel minor defect strain uniaxial stress measurement turbine impact identification helical antenna energy analysis of wavelet band strain wave time window structural steel members steel frame acoustoelastic effect demand-based nodes online wayside detection sensor bridge sensitivity acoustic emission bending stiffness wireless smart sensors distributed dense sensor network mapping construction data fusion fuzzy classification shear-wave birefringence normal mode piezoelectric wafer active sensors resonant frequency electromagnetic oscillation settlement sensor optimization modal frequencies perturbation theory feature extraction Virtual Distortion Method (VDM) reflective optical sensor fibre bundle smartphones crack identification active sensing test vehicle calibration stretching method model updating rotary ultrasonic array 2D crack growth data processing damage detection impactor stiffness tip clearance transmission tower phase spectrum concrete crack structural impact monitoring shaking table tests optical crack growth sensor steel strand passive sensing sudden event monitoring aero engine principal component analysis |
| ISBN | 3-03921-759-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367746603321 |
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Laflamme Simon
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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