Moeka Sonoo — 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 ↗

2020

Temporal Muscle Synergy Features Estimate Effects of Short-Term Rehabilitation in Sit-to-Stand of Post-Stroke Patients

Ningjia Yang, Matti Itkonen, Fady Shibata-Alnajjar, Noriaki Hattori, Makoto Kinomoto, Kouji Takahashi +13

RA-L 2020

Sit-to-stand (STS) motion is an important daily activity and many post-stroke patients have difficulty in performing the STS motion. Post-stroke patients who can perform STS independently, still utilize four muscle synergies (synchronized muscle activation) as seen in healthy people. In addition, te

Cited by 12 Source ↗Scholar ↗