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Katarzyna Matys-Popielska, Krzysztof Popielski, Paulina Matys and Anna Sibilska-Mroziewicz
Stroke is a leading cause of disability among adults in Europe. Complications following stroke include limb paresis and unilateral spatial neglect (USN) syndrome. These complications significantly reduce the patient?s ability to function normally both in...
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Rye-Kyeong Kim, Nyeonju Kang, Zeel Desai and James H. Cauraugh
Two popular chronic stroke rehabilitation protocols are robotic-assisted movements and transcranial direct current stimulation (tDCS). Separately, both protocols have produced encouraging motor recovery improvements. An intriguing question remains: what ...
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Tadashi Yamamoto and Toyohiro Hamaguchi
In this study, we aimed to evaluate the effectiveness of a brain robot in rehabilitation that combines motor imagery (MI), robotic motor assistance, and electrical stimulation. Thirteen in-patients with severe post-stroke hemiplegia underwent electroence...
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Jianing Zhang, Yanhuan Huang, Fuqiang Ye, Bibo Yang, Zengyong Li and Xiaoling Hu
Electroencephalography (EEG)-based measurements of fine tactile sensation produce large amounts of data, with high costs for manual evaluation. In this study, an EEG-based machine-learning (ML) model with support vector machine (SVM) was established to a...
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Rytis Maskeliunas, Robertas Damasevicius, Andrius Paulauskas, Maria Gabriella Ceravolo, Marina Charalambous, Maria Kambanaros, Eliada Pampoulou, Francesco Barbabella, Arianna Poli and Carlos V. Carvalho
This paper describes a serious game based on a knowledge transfer model using deep reinforcement learning, with an aim to improve the caretakers? knowledge and abilities in post-stroke care. The iTrain game was designed to improve caregiver knowledge and...
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Diandra B. Favoretto, Eduardo Bergonzoni, Diego Carvalho Nascimento, Francisco Louzada, Tenysson W. Lemos, Rosangela A. Batistela, Renato Moraes, João P. Leite, Brunna P. Rimoli, Dylan J. Edwards and Taiza G. S. Edwards
Objective: Converging evidence supporting an effect of transcranial direct current stimulation (tDCS) on postural control and human verticality perception highlights this strategy as promising for post-stroke rehabilitation. We have previously demonstrat...
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Shigeru Obayashi and Hirotaka Saito
Neuromodulators at the periphery, such as neuromuscular electrical stimulation (NMES), have been developed as add-on tools to regain upper extremity (UE) paresis after stroke, but this recovery has often been limited. To overcome these limits, novel stra...
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Suhun Jung, Jae Hwan Bong, Seung-Jong Kim and Shinsuk Park
In this study, we proposed a novel machine-learning-based functional electrical stimulation (FES) control algorithm to enhance gait rehabilitation in post-stroke hemiplegic patients. The electrical stimulation of the muscles on the paretic side was contr...
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Heather A. Feldner, Christina Papazian, Keshia M. Peters, Claire J. Creutzfeldt and Katherine M. Steele
Arm recovery varies greatly among stroke survivors. Wearable surface electromyography (sEMG) sensors have been used to track recovery in research; however, sEMG is rarely used within acute and subacute clinical settings. The purpose of this case study wa...
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Rui Hu, Bruno Michel, Dario Russo, Niccolò Mora, Guido Matrella, Paolo Ciampolini, Francesca Cocchi, Enrico Montanari, Stefano Nunziata and Thomas Brunschwiler
Artificial Intelligence in combination with the Internet of Medical Things enables remote healthcare services through networks of environmental and/or personal sensors. We present a remote healthcare service system which collects real-life data through a...
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