Quantitative EEG for Predicting Upper Limb Motor Recovery in Chronic Stroke Robot-Assisted Rehabilitation-Reference-Cited by-同舟云学术

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Quantitative EEG for Predicting Upper Limb Motor Recovery in Chronic Stroke Robot-Assisted Rehabilitation

Published:2017-07 Issue:7 Volume:25 Page:1058-1067
ISSN:1534-4320
Container-title:IEEE Transactions on Neural Systems and Rehabilitation Engineering
language:
Short-container-title:IEEE Trans. Neural Syst. Rehabil. Eng.

Author:

Trujillo Paula,Mastropietro Alfonso,Scano Alessandro,Chiavenna Andrea,Mrakic-Sposta Simona,Caimmi Marco,Molteni Franco,Rizzo Giovanna^ORCID

Funder

Framework Agreement between Regione Lombardia and National Research Council Decree through the RIPRENDO@Home Project, Regional Council Decree

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation

Link

http://xplorestaging.ieee.org/ielx7/7333/8000746/07870705.pdf?arnumber=7870705

Cited by 53 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Electroencephalogram Alpha Oscillations in Stroke Recovery: Insights into Neural Mechanisms from Combined Transcranial Direct Current Stimulation and Mirror Therapy in Relation to Activities of Daily Life;Bioengineering;2024-07-15

2. Current implications of EEG and fNIRS as functional neuroimaging techniques for motor recovery after stroke;Medical Review;2024-05-24

3. Quantitative EEG and prognosis for recovery in post-stroke patients: The effect of lesion laterality;Neurophysiologie Clinique;2024-05

4. Signal acquisition of brain–computer interfaces: A medical-engineering crossover perspective review;Fundamental Research;2024-04

5. Quantitative EEG for the Monitoring of Walking Recovery in Chronic Stroke Patients Receiving Action Observation Training;Journal of Motor Behavior;2024-02-26

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