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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2023-09-11
    Keywords: 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 ; bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues
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