Georgia Tech’s Applied Physiology PhD probes neuromuscular control, cardiorespiratory dynamics, and musculoskeletal biomechanics. Doctoral candidates instrument athletes with wearable EMG arrays, grow muscle organoids in bioreactors, and simulate gait in OpenSim to craft interventions that restore or enhance function.
Exoskeleton torque profiles optimizing post-stroke gait symmetry
CRISPR skeletal-muscle cell line modeling Duchenne dystrophy
Ultra-low-power ECG patch for heat-stress monitoring in firefighters
Neuromechanical model of ankle proprioception on uneven terrain
High-altitude hypoxia adaptation study using metabolomics
Real-time VR biofeedback for balance retraining in seniors
Finite-element bone remodel under micro-gravity conditions
AI classifier predicting concussion risk from helmet kinematics
Gene-expression atlas of endurance-trained vs. sedentary muscle
Biomechanical determinants of sprint acceleration in Paralympic athletes
Wearable ultrasound quantifying muscle fascicle-length dynamics
Robotic platform for measuring rat locomotor recovery post-SCI
In-silico optimization of inspiratory muscle-strength training loads
Metabolite fingerprinting of over-training syndrome in triathletes
Surface-EMG-driven closed-loop FES cycling system design
Advance knowledge that enhances and restores human performance.
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