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Human Health Engineering Volume II
| Human Health Engineering Volume II |
| Autore | Aerts Jean Marie |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (196 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
vibratory stimulation device
local muscle vibration proprioceptors low back pain response frequency postural control Vater-Pacini corpuscles electroencephalography deep learning driving fatigue feature extraction convolutional neural network rehabilitation robotics technological devices upper limb impairment organizational model inkjet printing respiratory rate strain gauge stretchable and wearable sensors silver nanoparticles clinical evaluation body posture upper limb rehabilitation serious games haptic feedback electromyography sensors virtual reality smoothness wearable sensors gait analysis stumbling plantar visualization remote fetal monitor measurement uncertainty standard deviation Monte-Carlo method (MMC) efficient estimator automated assessment UE-FMA pinch force pulling force slip onset stroke anorexia nervosa electrodermal activity time-domain analysis frequency-domain analysis nonlinear analysis virtual reality exposure therapy driving phobia post-traumatic stress disorder physiological signal piezo-fluid-structural coupled simulation APS valveless micropump closed-loop insulin pump Individual verification Electrocardiogram (ECG) Interval based LDA biometrics |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557392603321 |
Aerts Jean Marie
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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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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 electronic resource (222 p.) |
| Soggetto topico | Medical equipment & techniques |
| Soggetto non controllato |
movement intention
brain–computer interface movement-related cortical potential neurorehabilitation phonocardiogram machine learning empirical mode decomposition feature extraction mel-frequency cepstral coefficients support vector machines computer aided diagnosis congenital heart disease statistical analysis convolutional neural network (CNN) long short-term memory (LSTM) emotion recognition EEG ECG GSR deep neural network physiological signals electroencephalography Brain-Computer Interface multiscale principal component analysis successive decomposition index motor imagery mental imagery classification hybrid brain-computer interface (BCI) home automation electroencephalogram (EEG) steady-state visually evoked potential (SSVEP) eye blink short-time Fourier transform (STFT) convolution neural network (CNN) human machine interface (HMI) rehabilitation wheelchair quadriplegia Raspberry Pi image gradient AMR voice Open-CV image processing acoustic startle reaction response reflex blink mobile sound stroke EMG brain-computer interface myoelectric control pattern recognition functional near-infrared spectroscopy z-score method channel selection region of interest channel of interest respiratory rate (RR) Electrocardiogram (ECG) ECG derived respiration (EDR) auscultation sites pulse plethysmograph biomedical signal processing feature selection and reduction discrete wavelet transform hypertension |
| 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 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 electronic resource (226 p.) |
| Soggetto topico |
Humanities
Social interaction |
| Soggetto non controllato |
tangent space
Riemannian geometry particle swarm optimization (PSO) BCI EEG electro-oscillography (EOG) CSP FBCSP (filter bank common spatial pattern) online learning ballistocardiography pressure sensor Emfit home monitoring sleep recording sleep apnea unsupervised learning synchronization acoustic emissions joint sounds glove wearable sensing knee joint loading quaternion smartphone feature engineering human activity recognition sensor fusion ballistocardiogram blood pressure stroke volume cardiac output total peripheral resistance photoplethysmography photoplethysmogram heart rate consumer-wearable devices in-ear validation optical pulse rate monitoring pulse rate seismocardiography ultra-short heart rate variability stress evaluation accelerometers robotic assistant systems for surgery expertise pick-and-drop simulator task grip force profiles grip force control body sensor network wearable sensor telemedicine telerehabilitation seismocardiogram acceleration electrocardiogram cardiac mechanics pulse transit time adaptive recursive least squares filter (ARLSF) Seismocardiography (SCG) motion artifact Electrocardiogram (ECG) ageing gender machine learning support vector machine voice analysis pressure sensors compression therapy thin-film sensors wireless sensors medical pressure monitoring capacitive sensors flexible sensors LC sensor 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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