TY - JOUR AU - Costa-García, Álvaro AU - Ozaki, Ken-ichi AU - Yamasaki, Hiroshi AU - Itkonen, Matti AU - S., Fady Alnajjar AU - Okajima, Shotaro AU - Tanimoto, Masanori AU - Kondo, Izumi AU - Shimoda, Shingo PY - 2019 DA - 2019/11/04 TI - Model for prompt and effective classification of motion recovery after stroke considering muscle strength and coordination factors JO - Journal of NeuroEngineering and Rehabilitation SP - 130 VL - 16 IS - 1 AB - Muscle synergies are now widely discussed as a method for evaluating the existence of redundant neural networks that can be activated to enhance stroke rehabilitation. However, this approach was initially conceived to study muscle coordination during learned motions in healthy individuals. After brain damage, there are several neural adaptations that contribute to the recovery of motor strength, with muscle coordination being one of them. In this study, a model is proposed that assesses motion based on surface electromyography (sEMG) according to two main factors closely related to the neural adaptations underlying motor recovery: (1) the correct coordination of the muscles involved in a particular motion and (2) the ability to tune the effective strength of each muscle through muscle fiber contractions. These two factors are hypothesized to be affected differently by brain damage. Therefore, their independent evaluation will play an important role in understanding the origin of stroke-related motor impairments. SN - 1743-0003 UR - https://doi.org/10.1186/s12984-019-0611-z DO - 10.1186/s12984-019-0611-z ID - Costa-García2019 ER -