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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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Data Analytics and Applications of the Wearable Sensors in Healthcare
| Data Analytics and Applications of the Wearable Sensors in Healthcare |
| Autore | Syed Abdul Shabbir |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (498 p.) |
| Soggetto topico |
Humanities
Social interaction |
| Soggetto non controllato |
accelerometer
accelerometers accidental falls actigraph actigraphy action research arm test activities of daily living activity monitoring activity recognition and monitoring artificial intelligence behaviour analysis biofeedback biomedical signal processing biomedical technology bispectrum body worn sensors calibration cameras citizen science classifier efficiency classifier optimization clothing sensors cluster analysis conductive gels cross correlation analysis data compression deep learning denoising disease prevention edge computing eHealth electrocardiogram embedded system encoding energy expenditure entropy exercise experiment exercise intervention exercise therapy fall detection feature extraction feature selection filtering algorithm free-living frequency-domain features functional decline Gaussian mixture model GENEactiv accelerometer genetic algorithm GIS GPS gyroscope health healthcare healthcare movement sensing heart failure (HF) heart rate heart rate variability heat stroke hemodialysis hidden Markov model human activity recognition human factors human movement impedance pneumography inertial measurement unit inertial measurement units integration IoT IoT wearable monitor latent features left ventricular ejection fraction (LVEF) longitudinal study LSTM machine learning machine learning for real-time applications magnetometer mechanocardiogram (MCG) MIMU mobile health monitoring motion motion sensors multivariate analysis musculoskeletal disorders myocardial ischemia n/a neural network non-contact sensor non-wearable sensors noncontact electrode occupational healthcare one-class classification optoelectronic plethysmography orientation-invariant sensing orthopedics P-Ergonomics pacemaker patient health and state monitoring pattern classification performance measures personal risk detection physical activity physical activity classification physical activity type physical workload physiological parameters posture analysis precision ergonomics predictive analytics principal component analysis probabilistic inference qualitative real-life real-world recurrent neural networks respiration rate respiratory monitoring sedentary behavior services signal analysis signal processing skill assessment smart clothes smart textiles spinal posture state space model supervised machine learning talking detection technology acceptance model (TAM) Telemedicine time-domain features upper extremity ventricular premature contraction walking wavelets wearable wearable biomedical sensors wearable device wearable devices wearable sensing wearable sensor wearable sensors wearable systems for healthcare wearables wellbeing at work wireless sensor network |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557288603321 |
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Syed Abdul Shabbir
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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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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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