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.
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
|
||
| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
New Indicators for the Assessment and Prevention of Noise Nuisance
| New Indicators for the Assessment and Prevention of Noise Nuisance |
| Autore | Fredianelli Luca |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (170 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
sound emergence
legislation annoyance measurement prediction uncertainty audibility signal-to-noise ratio sound pressure level field measurements spectrum analysis interior noise and vibration of vehicle COVID-19 noise soundscape metrics indicators descriptors sound lockdown geolocation noise classification seafarers acoustic pollution noise onboard ship health impact environmental pollution noise survey hypertension environmental noise railway noise recreational noise airport noise road traffic noise blood pressure noise annoyance diastolic blood pressure helicopter cabin noise levels noise reduction acoustic evaluation IAR Puma 330 ultrasound active noise control adjustable PAL quiet areas macro-temporal pattern noise indicator cognitive performance Stroop task listening experiment port noise noise sources noise mapping noise mitigations noise modeling ship noise sustainable management noise exposure prevention noise measurements research projects noise indicators noise metrics psychoacoustic nuisance sleep disturbance peak noise impulsive events health related quality of life health effects |
| ISBN | 3-0365-5740-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910637791903321 |
|
Fredianelli Luca
|
||
| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||