Personalized Offline and Pseudo-Online BCI Models to Detect Pedaling Intent.

about

Application of the Stockwell Transform to Electroencephalographic Signal Analysis during Gait Cycle.

P2860

Q47165268-E010B4F3-FD19-4CD4-BA07-F4DD17E8DCBD

P2860

Personalized Offline and Pseudo-Online BCI Models to Detect Pedaling Intent.

Item

http://www.wikidata.org/entity/Q38661333

description

2017 nî lūn-bûn

@nan

2017年の論文

@ja

2017年学术文章

@wuu

2017年学术文章

@zh-cn

2017年学术文章

@zh-hans

2017年学术文章

@zh-my

2017年学术文章

@zh-sg

2017年學術文章

@yue

2017年學術文章

@zh

2017年學術文章

@zh-hant

name

Personalized Offline and Pseudo-Online BCI Models to Detect Pedaling Intent.

@en

type

Item

label

Personalized Offline and Pseudo-Online BCI Models to Detect Pedaling Intent.

@en

prefLabel

Personalized Offline and Pseudo-Online BCI Models to Detect Pedaling Intent.

@en

P1476

Personalized Offline and Pseudo-Online BCI Models to Detect Pedaling Intent.

@en

P2093

Marisol Rodríguez-Ugarte

http://www.w3.org/2001/XMLSchema#string

P2860

Mu rhythm (de)synchronization and EEG single-trial classification of different motor imagery tasks

Exploration of computational methods for classification of movement intention during human voluntary movement from single trial EEG

Evaluating classifiers to detect arm movement intention from EEG signals

Sitting and standing intention can be decoded from scalp EEG recorded prior to movement execution

Continuous decoding of movement intention of upper limb self-initiated analytic movements from pre-movement EEG correlates.

Detecting movement intent from scalp EEG in a novel upper limb robotic rehabilitation system for stroke.

Detection of self-paced reaching movement intention from EEG signals.

Towards more effective robotic gait training for stroke rehabilitation: a review.

Detecting intention to walk in stroke patients from pre-movement EEG correlates

Brain-computer interface technology as a tool to augment plasticity and outcomes for neurological rehabilitation.

P304

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.3389/FNINF.2017.00045

http://www.w3.org/2001/XMLSchema#string

P478

http://www.w3.org/2001/XMLSchema#string

P50

José M Azorín

Mario Ortiz

Eduardo Iáñez

P577

2017-07-11T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P698

28744212

http://www.w3.org/2001/XMLSchema#string

P932

5504298

http://www.w3.org/2001/XMLSchema#string

Personalized Offline and Pseudo-Online BCI Models to Detect Pedaling Intent.

about

P2860

P2860

Personalized Offline and Pseudo-Online BCI Models to Detect Pedaling Intent.

description

name

type

label

prefLabel

P1433

P1476

P2093

P2860

P304

P31

P356

P478

P50

P577

P698

P932

P356

P1433

P1476

P2093

P2860

P304

P31

P356

P478

P50

P577

P698

P932