Álvaro Costa-García — accepted AI-conference papers

2020

Segmentation and Averaging of sEMG Muscle Activations Prior to Synergy Extraction

Álvaro Costa-García, Eduardo Iáñez, Moeka Sonoo, Shotaro Okajima, Hiroshi Yamasaki, Sayako Ueda +1

RA-L 2020

Averaging electromyographic activity prior to muscle synergy computation is a common method employed to compensate for the inter-repetition variability usually associated with this kind of physiological recording. Capturing muscle synergies requires the preservation of accurate temporal and spatial

Cited by 10 Source ↗Scholar ↗

2018

A Novel Approach to the Segmentation of sEMG Data Based on the Activation and Deactivation of Muscle Synergies During Movement

Álvaro Costa-García, Matti Itkonen, Hiroshi Yamasaki, Fady Shibata-Alnajjar, Shingo Shimoda

RA-L 2018

The muscle-synergy hypothesis is a widely used method for describing simple motion patterns and how the central nervous system deals with the complexity of controlling a large set of muscles in parallel. However, the physiological interpretation of synergies and the mathematical techniques behind th

Cited by 15 Source ↗Scholar ↗