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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 online resource (206 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
Anomaly Detection
arterial blood pressure artificial neural network automated dietary monitoring behavioral signals biomedical signal processing blind source separation Cardiovascular Disease central venous pressure continuous arterial blood pressure deep convolutional autoencoder diastolic blood pressure drowsiness detection eating detection eating timing error analysis ECG EEG electrocardiography extreme learning machine frequency-domain features genetic algorithm heart rate measurement hemodynamics Hill muscle model independent component analysis intracranial pressure joint moment prediction long short-term memory machine learning Machine Learning motion artifact multi-wavelength multicriteria optimization multilayer perceptron myocardial infarction n/a non-invasive system online input variables pain detection photoplethysmography physiological signals pulmonary arterial pressure remote BCG remote HR remote PPG Review Signal Processing smart eyeglasses spline stress detection systolic blood pressure vectorcardiography wearable health monitoring wearable sensor |
| 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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Wearable and Nearable Biosensors and Systems for Healthcare
| Wearable and Nearable Biosensors and Systems for Healthcare |
| Autore | Di Rienzo Marco |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (226 p.) |
| Soggetto topico |
Humanities
Social interaction |
| Soggetto non controllato |
acceleration
accelerometers acoustic emissions adaptive recursive least squares filter (ARLSF) ageing ballistocardiogram ballistocardiography BCI blood pressure body sensor network capacitive sensors cardiac mechanics cardiac output compression therapy consumer-wearable devices CSP EEG electro-oscillography (EOG) electrocardiogram Electrocardiogram (ECG) Emfit expertise FBCSP (filter bank common spatial pattern) feature engineering flexible sensors gender glove grip force control grip force profiles heart rate home monitoring human activity recognition in-ear joint sounds knee joint loading LC sensor machine learning medical pressure monitoring motion artifact n/a online learning optical pulse rate monitoring particle swarm optimization (PSO) photoplethysmogram photoplethysmography pick-and-drop simulator task pressure sensor pressure sensors pulse rate pulse transit time quaternion Riemannian geometry robotic assistant systems for surgery seismocardiogram seismocardiography Seismocardiography (SCG) sensor fusion sleep apnea sleep recording smartphone stress evaluation stroke volume support vector machine synchronization tangent space telemedicine telerehabilitation thin-film sensors total peripheral resistance ultra-short heart rate variability unsupervised learning validation voice analysis wearable sensing wearable sensor wireless sensors wound monitoring |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557338203321 |
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Di Rienzo Marco
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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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