Reduction of Crosstalk in the Electromyogram: Experimental Validation of the Optimal Spatio-Temporal Filter
Objective: Crosstalk in surface electromyogram (EMG) is an important open problem and the common strategy of reducing it through spatial filters needs improvements. Methods: We evaluated experimentally the optimal spatio-temporal filter (OSTF), i.e., a recent approach that adapts to the subject, fil...
Main Authors: | Matteo Raggi, Gennaro Boccia, Luca Mesin |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2023-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10274701/ |
Similar Items
-
Non-Linear Adapted Spatio-Temporal Filter for Single-Trial Identification of Movement-Related Cortical Potential
by: Luca Mesin, et al.
Published: (2023-03-01) -
Crosstalk in Facial EMG and Its Reduction Using ICA
by: Wataru Sato, et al.
Published: (2023-03-01) -
Fundamental Concepts of Bipolar and High-Density Surface EMG Understanding and Teaching for Clinical, Occupational, and Sport Applications: Origin, Detection, and Main Errors
by: Isabella Campanini, et al.
Published: (2022-05-01) -
Investigation of Motor Units Activity: Comparison of Single Channel Surface EMG Deconvolution and Blind Source Separation of Multichannel Data
by: Luca Mesin, et al.
Published: (2024-01-01) -
Motor Unit Discharges from Multi-Kernel Deconvolution of Single Channel Surface Electromyogram
by: Luca Mesin
Published: (2021-08-01)