High energy spectrogram with integrated prior knowledge for EMG-based locomotion classification

• Published in: Medical engineering & physics Vol. 37; no. 5; pp. 518 - 524
• Main Authors: Joshi, Deepak, Nakamura, Bryson H., Hahn, Michael E.
• Format: Journal Article
• Language: English
• Published: England Elsevier Ltd 01.05.2015
• Subjects: Accelerometry - methods; Algorithms; Electromyography; Electromyography - methods; Female; Gait cycle; Humans; Leg - physiology; Locomotion; Locomotion - physiology; Male; Muscle, Skeletal - physiology; Myoelectric control; Radiology; Signal Processing, Computer-Assisted; Spectrogram; Time Factors; Time-frequency; Young Adult; Myoelectric control; Locomotion; Time-frequency; Electromyography; Gait cycle; Spectrogram

•Transition between locomotion modes is critical to activities of daily living.•A spectrogram approach is used to classify locomotion and transitions using EMG.•Use of prior knowledge with the spectrogram enhances the classification structure.•This approach can aid the control of assistive devices i...