Publicación

Using resting-state electroencephalography to predict motor function improvement in spinal cord injury patients: a machine learning approach (5177)

Kevin Pacheco‐Barrios · Marcel Simis · Kevin Acuna-Condori · Elif Uygur-Kucukseymen · Linamara Rizzo Battistella · Felipe Fregni
2021 Neurology DOI: 10.1212/wnl.96.15_supplement.5177

Resumen

We aimed to implement a machine learning (ML) algorithm to predict non-invasive brain stimulation effectiveness combined with robotic gait training for motor improvement in spinal cord injury (SCI) patients.

Autores y colaboradores

Authors

Kevin Pacheco‐Barrios
Marcel Simis
Kevin Acuna-Condori
Elif Uygur-Kucukseymen
Linamara Rizzo Battistella
Felipe Fregni

Palabras clave

Spinal cord injury Electroencephalography Spinal cord Motor function
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