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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 |
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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