Supervised myoelectrical hand gesture recognition in post-acute stroke patients with upper limb paresis on affected and non-affected sides

HIGHLIGHTS

• who: Alexey Anastasiev et al. from the Department of Neurosurgery, Graduate School of Comprehensive Human Sciences, University of Tsukuba, Tennodai, Tsukuba, Ibaraki, Japan have published the Article: Supervised Myoelectrical Hand Gesture Recognition in Post-Acute Stroke Patients with Upper Limb Paresis on Affected and Non-Affected Sides, in the Journal: Sensors 2022, 22, 8733. of /2022/
• what: The authors investigate the possibilities of basic in acute stroke patients with using a novel acute stroke four-component multidomain feature set (ASF-4) with feature vector weight additions (ASF-14NP ASF-24P) and learning algorithms trained only . . .
  

   

  

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