Fady Shibata-Alnajjar — accepted AI-conference papers

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 ↗

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 ↗

2018

Effect of Physical Therapy on Muscle Synergy Structure During Standing-Up Motion of Hemiplegic Patients

Hiroki Kogami, Qi An, Ningjia Yang, Hiroshi Yamakawa, Yusuke Tamura, Atsushi Yamashita +11

RA-L 2018

Stroke patients suffer from declined physical ability, and it is important to analyze rehabilitation intervention and clarify its effect on the motion of patients. In this study, the effect of intervention on the standing-up motion of stroke patients is investigated. First, the intervention timing o

Cited by 28 Source ↗Scholar ↗