Biomaterials for Bone Tissue Engineering |
Autore | Sanz José Antonio |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (244 p.) |
Soggetto non controllato |
bone morphogenesis proteins
finite element bone tissue engineering electrically active implants prediction marker vertebra direct current electric field loose sintering Lattice Boltzmann method Pelvis automatic segmentation MSCs additive manufacturing finite element method bioelectromagnetism optimization scaffold design cone beam computed tomography computational modelling bone regeneration oxygen delivery biomaterials bone tissue spark plasma sintering critical size defect musculoskeletal modelling resonance frequency analysis minipig numerical methods in bioengineering computational fluid dynamics maxillofacial osteoporosis sliding window osseointegration mass transfer substrate-mediated electrical stimulation Fixation design dental implants human dental pulp stem cells numerical results elastoplasticity bone tissue regeneration finite-element simulation 3D-printed implant selective laser melting Lagrangian scalar tracking cortical bone micromechanics trabeculae finite element modelling damage titanium powder metallurgy pelvis biomechanics computational mechanobiology culturing protocol bone adaptation stem cell Bone tumor trabecular bone score Xenografts triply periodic minimal surfaces computed tomography multiscale analysis cartilage digital image correlation osteo-differentiation wollastonite transport finite element analysis bone marrow fracture risk von Mises stress electric stimulation mechanical behaviour adipogenesis biomaterial applications computational mechanics Ti6Al4V scaffolds finite elements Otsu's method 3D virtual surgical plan |
ISBN | 3-03928-966-7 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910404077303321 |
Sanz José Antonio
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MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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Smart Sensors for Healthcare and Medical Applications |
Autore | Formica Domenico |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (432 p.) |
Soggetto topico |
Humanities
Social interaction |
Soggetto non controllato |
radiation-induced current
dosimetry photodiodes phototransistors (MOSFETs) photovoltaic sensor CCD/CMOS cancer nodules detection phantom stiffness analysis ultrasound analysis visual analysis automatic robotic platform remote support for pathologists gait analysis gait correction electrostatic gait signal improved Detrended Cross-Correlation Analysis cross-correlation coefficient measuring system measurements contactless respiratory rate breathing pattern ECG electrode swaps ECG electrode potentials WCT potential change reconstructing correct ECG leads MSMinv transformation unicolor limb-chest electrodes torsional wave cervix pregnancy cervical stiffness fiber Bragg gratings smart textiles wearable systems cardiac monitoring respiratory monitoring precision sports archery body pressure distribution air-filled cell alternating pressure air mattress time of flight air flow active control system mobile EEG recordings montage-replaceable headsets BCI fiber Bragg grating plastic optical fiber non-invasive measurement pulse wave signals blood pressure partial least squares regression people counting bi-directional motion detection time of flight sensor force myography prosthetic fitting regression calibration error reduction linear regression random forest general regression neural network cross-talk force sensitive resistor MRI EMG graph theory electrical network muscle activity forearm COPD oxygen concentrator oxygen therapy automatic oxygen concentrator physical activity machine learning respiratory medicine portable oxygen concentrator oxygen delivery cerebral palsy game-based rehabilitation exercises computerized assessment methods motion tracking sensors Kinect sensor EEG PPG epilepsy signal processing brain monitoring artificial neural network predictive analysis dietary monitoring healthcare ring-type biosensor personalized digital medicine frailty syndrome sit-to-stand 30-s chair stand test wearable sensors fetal movement simulator fetal movement monitor maternal abdomen model acoustic sensor accelerometer piezoelectric diaphragm fiber Bragg grating sensors (FBGs) functional magnetic resonance imaging (fMRI) grasping actions detection motor assessment MR-compatible measuring systems abdominal movement signal hypopnea LSTM-RNN neural network oxygen saturation sleep apnea syndrome sleep-wake detection synchrosqueezing transform triaxial accelerometer thoracic movement signal multiple sclerosis kinematics surface EMG accelerator inertial sensor T10MW markerless motion capture automatic pushing analysis SCI patients RGB-D sensors respiration monitoring non-contact monitoring body movements detection thermal imaging natural sleep environments |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557489003321 |
Formica Domenico
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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