Evaluating robustness of gait event detection based on machine learning and natural sensors - Hansen, M.; Haugland, M.K.; Sinkjaer, T. (IEEE transactions on neural systems and rehabilitation engineering, 2004)
Keywords: Action Potentials; Adult; Algorithms; Artificial Intelligence; Control systems; Cuffs; Electric Stimulation Therapy - methods; Electrodes; Electromyography - methods; Event detection; Female; Gait; Gait Disorders, Neurologic - diagnosis; Gait Disorders, Neurologic - etiology; Gait Disorders, Neurologic - physiopathology; Gait Disorders, Neurologic - rehabilitation; Hemiplegia - complications; Hemiplegia - diagnosis; Hemiplegia - physiopathology; Hemiplegia - rehabilitation; Humans; Leg - innervation; Leg - physiopathology; Machine learning; Muscle, Skeletal - innervation; Muscle, Skeletal - physiopathology; Neuromuscular stimulation; Pattern Recognition, Automated; Peroneal Nerve - physiopathology; Proprioception; Quality Control; Real time systems; Recording; Reproducibility of Results; Robustness; Sensitivity and Specificity; Sensor systems; Sensors; Shoes; Stimulation; Sural Nerve - physiopathology; System testing; Time measurements; Timing; Training; Treatment Outcome; Wear