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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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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 online resource (550 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
activity recognition
affective computing affective corpus aging adults arousal arousal detection artificial intelligence automatic facial emotion recognition auxiliary loss behavioral biometrical systems benchmarking boredom center of pressure class center classification cognitive load computer science convolutional neural network convolutional neural networks correlation statistics data transformation dataset deep convolutional neural network deep learning deep neural network dilated convolutions driving stress EEG elderly caring electrocardiogram electrodermal activity electrodermal activity (EDA) electroencephalography emotion emotion classification emotion elicitation emotion monitoring emotion recognition emotion representation expert evaluation face landmark detection facial detection facial emotion recognition facial expression recognition facial landmarks feature extraction feature selection flight simulation frustration fully convolutional DenseNets GSR head-mounted display homography matrix human-computer interaction in-ear EEG information fusion infrared thermal imaging intensity of emotion recognition interest long short-term memory recurrent neural networks long-term stress machine learning mental stress detection multimodal sensing multimodal sensors musical genres n/a normalization outpatient caring overload pain recognition perceived stress scale physiological sensing physiological signal processing physiological signals psychophysiology quantitative analysis regression respiration road traffic road types sensor sensor data analysis signal analysis signal processing similarity measures skip-connections smart band smart insoles smart shoes socially assistive robot stress stress detection stress recognition stress research stress sensing subject-dependent emotion recognition subject-independent emotion recognition thoracic electrical bioimpedance time series analysis transfer learning underload unobtrusive sensing valence detection Viola-Jones virtual reality wearable sensors weighted loss |
| 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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Intelligent Soft Sensors
| Intelligent Soft Sensors |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2023 |
| Descrizione fisica | 1 online resource (230 p.) |
| Soggetto topico |
History of engineering and technology
Technology: general issues |
| Soggetto non controllato |
affective computing
bioprocess monitoring BIS index computerized adaptive testing (CAT) D-S evidence theory depth of hypnosis early fire warning EDA electrical resistance executive functions extended Kalman filter extreme learning machine frequency analysis general anesthesia hybrid feature fusion image feature extraction improved mathematical model improved particle swarm algorithm intelligent building system joule heating effect keyframe extraction kinetic model least squares support vector machine modelling multi-source data fusion n/a neurodevelopmental disorders non-linear models nonlinear regression model nonlinear systems observability outliers physiological signals Pichia pastoris population-data-based model prognostic and health management propofol Raman residual model robust observer self-sensing actuation sensor selection shape memory coil simulator sintering quality prediction soft sensor soft sensors soft-sensor based diagnosis spectroscopy state estimation stress detection support vector machine regression model target-controlled infusion total intravenous anesthesia transfer learning variable selection variable stiffness actuation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910743269003321 |
| MDPI - Multidisciplinary Digital Publishing Institute, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Signal Processing Using Non-invasive Physiological Sensors
| Signal Processing Using Non-invasive Physiological Sensors |
| Autore | Niazi Imran Khan |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (222 p.) |
| Soggetto topico | Medical equipment and techniques |
| Soggetto non controllato |
acoustic
AMR voice auscultation sites biomedical signal processing blink brain-computer interface Brain-Computer Interface channel of interest channel selection classification computer aided diagnosis congenital heart disease convolution neural network (CNN) convolutional neural network (CNN) deep neural network discrete wavelet transform ECG ECG derived respiration (EDR) EEG Electrocardiogram (ECG) electroencephalogram (EEG) electroencephalography EMG emotion recognition empirical mode decomposition eye blink feature extraction feature selection and reduction functional near-infrared spectroscopy GSR home automation human machine interface (HMI) hybrid brain-computer interface (BCI) hypertension image gradient image processing long short-term memory (LSTM) machine learning mel-frequency cepstral coefficients mental imagery mobile motor imagery movement intention movement-related cortical potential multiscale principal component analysis myoelectric control neurorehabilitation Open-CV pattern recognition phonocardiogram physiological signals pulse plethysmograph quadriplegia Raspberry Pi reaction reflex region of interest rehabilitation respiratory rate (RR) response short-time Fourier transform (STFT) sound startle statistical analysis steady-state visually evoked potential (SSVEP) stroke successive decomposition index support vector machines wheelchair z-score method |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566473903321 |
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Niazi Imran Khan
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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 Sensors in the Evaluation of Gait and Balance in Neurological Disorders
| Wearable Sensors in the Evaluation of Gait and Balance in Neurological Disorders |
| Autore | Suppa Antonio |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (274 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
acceleration
accelerometer accelerometry activities of daily life aging Alzheimer's disease asymmetry autocorrelation back school balance bio-signals biomedical signal processing cerebellar ataxia classification cueing CV diagnosis dynamic balance dynamic posturography dynamic time warping EEG EMG gait gait analysis gait assessment gait disorders gait metrics gait patterns gait smoothness gait symmetry GAITRite harmonic ratio head injury healthy subjects home-monitoring IMUs inertial measurement units inertial sensor inertial sensors kinematics loss of balance lower back pain machine learning mobile gait analysis movement analysis multi-regression normalization multiple sclerosis near falls Parkinson's disease pathological gait pattern recognition pedestrian dead-reckoning personalized medicine physiological signals postural stability posture posturography pre-impact fall detection random forest classifier reactive postural responses rehabilitation reliability sampling frequency six-minute walk stability step detection stride segmentation stroke SVM symptoms monitoring test-retest test-retest reliability timed up and go test trajectory reconstruction transcranial direct current stimulation traumatic brain injury tri-axial accelerometer trunk turning analysis validity vestibular syndrome wearable wearable electronics wearable sensors wearables wireless sensors yaw perturbation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557446403321 |
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Suppa Antonio
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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