Cargando…
Prediction of Myoelectric Biomarkers in Post-Stroke Gait
Electromyography (EMG) is sensitive to neuromuscular changes resulting from ischemic stroke and is considered a potential predictive tool of post-stroke gait and rehabilitation management. This study aimed to evaluate the potential myoelectric biomarkers for the classification of stroke-impaired mus...
Autores principales: | Hussain, Iqram, Park, Se-Jin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8399186/ https://www.ncbi.nlm.nih.gov/pubmed/34450776 http://dx.doi.org/10.3390/s21165334 |
Ejemplares similares
-
Quantitative Evaluation of Task-Induced Neurological Outcome after Stroke
por: Hussain, Iqram, et al.
Publicado: (2021) -
Driving-Induced Neurological Biomarkers in an Advanced Driver-Assistance System
por: Hussain, Iqram, et al.
Publicado: (2021) -
Explainable Artificial Intelligence Model for Stroke Prediction Using EEG Signal
por: Islam, Mohammed Saidul, et al.
Publicado: (2022) -
Quantifying Physiological Biomarkers of a Microwave Brain Stimulation Device
por: Hussain, Iqram, et al.
Publicado: (2021) -
Myoelectrically controlled wrist robot for stroke rehabilitation
por: Song, Rong, et al.
Publicado: (2013)