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MEMS Accelerometers / Ibrahim (Abe) M. Elfadel, Ha Duong Ngo, Mahmoud Rasras
| MEMS Accelerometers / Ibrahim (Abe) M. Elfadel, Ha Duong Ngo, Mahmoud Rasras |
| Autore | Elfadel Ibrahim (Abe) M |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (252 p.) |
| Soggetto topico | History of engineering and technology |
| 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 |
9783038974154
3038974153 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346853503321 |
Elfadel Ibrahim (Abe) M
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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 online resource (204 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
accelerometers
aging anomaly detection anterior shoulder instability Bland-Altman plots body sensor network cardio-respiratory monitoring cloud computing COPD data fusion e-health electrocardiogram electromyographic biofeedback energy expenditure fog computing gait analysis gait speed gyroscope healthcare heart rate heart rate variability hidden Markov model human activity recognition IMU inertial sensor inertial sensors information fusion interclass correlation coefficient Internet of Things low frequency extension filter machine learning motion reconstruction n/a obstacle detection open set classification out of distribution paddle stroke analysis physical activity physiotherapy rehabilitation respiratory rate rotator cuff related pain syndrome scapula neuromuscular activity and control scapular dyskinesis SenseWear Armband smart textile smart walker smart watch Stepwatch stress wearable device wearable sensors wearable system weekday-to-weekend |
| 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 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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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 online resource (252 p.) |
| Soggetto topico |
Biochemistry
Biology, life sciences Research and information: general |
| Soggetto non controllato |
6-min walking test
accelerometer ACL angle-angle diagrams biomechanical phenomena biomechanics analysis body sensor network Box and Block test bradykinesia clinical cyclograms decision trees e-textile foot drop stimulation gait gait analysis ground reaction force hand trajectories hemiparesis IMU inertial measurement sensor inertial measurement systems inertial measurement unit (IMU) inertial measurement units inertial sensor inertial sensors inertial sensors network Internet of Things kinematic kinematic data kinematics limb prosthesis m-health marker-based optoelectronic system motion analysis motion capture motion capture validation motor fluctuation movement analysis n/a naturalistic monitoring obesity older adults optoelectronic system orthopedic Parkinson's disease plantar pressure real-life rehabilitation reliability RGB-D sensors sensory-motor gait disorders smoothness spatial-temporal analysis spatio-temporal parameters stroke symmetry symmetry index upper extremity upper limb validation walking wearable devices wearable inertial sensors wearable movement sensor wearable sensors wearable system |
| 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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