Bunt ND, Moreno JC, Muller P, Seel T, Schauer T (2017)
Publication Type: Book chapter / Article in edited volumes
Publication year: 2017
Publisher: Springer International Publishing
Edited Volumes: Converging Clinical and Engineering Research on Neurorehabilitation II
Series: Biosystems and Biorobotics
City/Town: Cham
Book Volume: 15
Pages Range: 705-709
ISBN: 978-3-319-46669-9
DOI: 10.1007/978-3-319-46669-9_116
This contribution describes a method for real-time analysis of muscle activity over the gait cycle while simultaneously applying Functional Electrical Stimulation (FES) to the assessed muscles. Inertial sensors at the foot are used for real-time gait phase detection in order to synchronize the stimulation with the gait. An EMG analysis has been performed to cancel out stimulation artifacts, to filter the data and to extract the voluntary EMG activity. This corrected EMG signal has been rectified and low-pass filtered to produce an envelope that was parameterized as a function of the Gait Cycle Percentage (GCP). The volitional EMG activity profile has been averaged over five strides and can be presented as a moving average over the exercise duration. Initial evaluation with healthy subjects showed that this procedure is feasible to detect the expected volitional muscle activity profiles also during active electrical stimulation.
APA:
Bunt, N.D., Moreno, J.C., Muller, P., Seel, T., & Schauer, T. (2017). Online Monitoring of Muscle Activity During Walking for Bio-feedback and for Observing the Effects of Transcutaneous Electrical Stimulation. In Jaime Ibáñez, José González-Vargas, José María Azorín, Metin Akay, José Luis Pons (Eds.), Converging Clinical and Engineering Research on Neurorehabilitation II. (pp. 705-709). Cham: Springer International Publishing.
MLA:
Bunt, Nathan D., et al. "Online Monitoring of Muscle Activity During Walking for Bio-feedback and for Observing the Effects of Transcutaneous Electrical Stimulation." Converging Clinical and Engineering Research on Neurorehabilitation II. Ed. Jaime Ibáñez, José González-Vargas, José María Azorín, Metin Akay, José Luis Pons, Cham: Springer International Publishing, 2017. 705-709.
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