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MEMS Accelerometers
| MEMS Accelerometers |
| Autore | Ngo Ha Duong |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (252 p.) |
| Soggetto non controllato |
micromachining
turbulent kinetic energy dissipation rate microelectromechanical systems (MEMS) piezoresistive sensor chip WiFi-RSSI radio map step detection built-in self-test regularity of activity motion analysis gait analysis frequency acceleration MEMS accelerometer zero-velocity update rehabilitation assessment vacuum microelectronic dance classification Kerr noise MEMS micro machining MEMS sensors stereo visual-inertial odometry self-coaching miniaturization wavelet packet three-axis acceleration sensor MEMS-IMU accelerometer performance characterization electrostatic stiffness delaying mechanism three-axis accelerometer angular-rate sensing indoor positioning whispering-gallery-mode sensitivity heat convection multi-axis sensing L-shaped beam stride length estimation activity monitoring process optimization mismatch of parasitic capacitance electromechanical delta-sigma cathode tips array in situ self-testing high acceleration sensor deep learning marine environmental monitoring accelerometer fault tolerant hostile environment micro-electro-mechanical systems (MEMS) low-temperature co-fired ceramic (LTCC) classification of horse gaits Taguchi method interface ASIC capacitive transduction digital resonator safety and arming system inertial sensors MEMS technology sleep time duration detection field emission probe piezoresistive effect capacitive accelerometer auto-encoder MEMS-IMU body sensor network optical microresonator wireless hybrid integrated mode splitting |
| ISBN | 3-03897-415-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346853503321 |
Ngo Ha Duong
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Wearable and BAN Sensors for Physical Rehabilitation and eHealth Architectures
| Wearable and BAN Sensors for Physical Rehabilitation and eHealth Architectures |
| Autore | de Fátima Domingues Maria |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (204 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
fog computing
cloud computing e-health healthcare Internet of Things paddle stroke analysis motion reconstruction inertial sensor data fusion body sensor network gait analysis gyroscope information fusion hidden Markov model human activity recognition out of distribution anomaly detection open set classification physiotherapy inertial sensors smart watch rehabilitation machine learning COPD wearable sensors SenseWear Armband physical activity weekday-to-weekend energy expenditure stress wearable device heart rate variability electrocardiogram scapula neuromuscular activity and control rotator cuff related pain syndrome anterior shoulder instability scapular dyskinesis electromyographic biofeedback cardio-respiratory monitoring wearable system smart textile IMU respiratory rate heart rate accelerometers Bland-Altman plots gait speed interclass correlation coefficient low frequency extension filter Stepwatch smart walker obstacle detection aging |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557611703321 |
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de Fátima Domingues Maria
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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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Wearables for Movement Analysis in Healthcare
| Wearables for Movement Analysis in Healthcare |
| Autore | Capodaglio Paolo |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (252 p.) |
| Soggetto topico |
Research & information: general
Biology, life sciences Biochemistry |
| Soggetto non controllato |
gait
smoothness older adults accelerometer inertial measurement unit (IMU) upper extremity stroke biomechanical phenomena kinematics inertial measurement systems motion analysis wearable devices e-textile gait analysis m-health plantar pressure validation Internet of Things body sensor network inertial sensors ground reaction force spatio-temporal parameters wearable sensors decision trees foot drop stimulation symmetry inertial measurement sensor wearable inertial sensors marker-based optoelectronic system ACL rehabilitation motion capture validation upper limb Parkinson's disease Box and Block test inertial sensors network biomechanics analysis kinematic data hand trajectories kinematic inertial measurement units angle-angle diagrams cyclograms obesity bradykinesia real-life naturalistic monitoring motor fluctuation wearable movement sensor IMU motion capture reliability clinical orthopedic sensory-motor gait disorders limb prosthesis spatial-temporal analysis symmetry index walking 6-min walking test wearable system inertial sensor RGB-D sensors optoelectronic system movement analysis hemiparesis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576872303321 |
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Capodaglio Paolo
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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