Wearable Sensors & Gait

• Andere auteurs: García-Pinillos, Felipe (Redacteur), Roche-Seruendo, Luis Enrique (Redacteur), Jaén-Carrillo, Diego (Redacteur)
• Formaat: Elektronisch Hoofdstuk
• Taal: Geen linguïstische inhoud
• Gepubliceerd in: MDPI - Multidisciplinary Digital Publishing Institute 2023
• Onderwerpen: Technology: general issues; running; kinematics; gait retraining; surface electromyography; wearables; decision tree; human running; random forest; regression; wearable devices; aerobic; assessment; performance; physiology; technology; training; wearable; diabetic foot; gait; monitoring foot temperature; smart wearable; VO2max; power; running biomechanics; hierarchical cluster analysis; machine learning; triathletes; cycling; mobile power meter; testing; load monitoring; gait analysis; gait parameters; IMU; inertial sensors; orientation-invariant; sensor fusion; team-sports; muscle activation; loaded sprint; sled-push; portable gait rhythmogram; 3-D gait analysis; music therapy; Parkinson's disease; gait disturbance; data histogram; distance estimation; gait speed; on-ankle path loss; RSSI; step length estimation; strike length estimation; two-term Gaussian distribution; biomechanics; injury; running conditions; gait cycle; ground reaction force; inertial measurement unit; principal component analysis; stroke; synergy; wearable device; malleolar fractures; inertial sensor unit; wearable sensor; walking; spatiotemporal parameters; functional scales; clinical measurement; agreement of measurements; analysis; markerless
• Online toegang: DOAB: download the publication; DOAB: description of the publication