Improving longitudinal P300-BCI performance for people with ALS using a data augmentation and jitter correction approach-Reference-Cited by-同舟云学术

Improving longitudinal P300-BCI performance for people with ALS using a data augmentation and jitter correction approach

Published:2021-12-23 Issue:1 Volume:9 Page:49-66
ISSN:2326-263X
Container-title:Brain-Computer Interfaces
language:en
Short-container-title:Brain-Computer Interfaces

Author:

Zisk Alyssa Hillary¹^ORCID,Borgheai Seyyed Bahram²^ORCID,McLinden John²^ORCID,Deligani Roohollah Jafari²^ORCID,Shahriari Yalda¹²^ORCID

Affiliation:

1. Interdisciplinary Neuroscience Program, University of Rhode Island, Kingston, RI, –USA

2. Department of Electrical, Computer, and Biomedical Engineering, University of Rhode Island, Fascitelli Center for Advanced Engineering, –USA Kingston, RI, USA

Funder

National Science Foundation

Institutional Development Award (IDeA) Network for Biomedical Research Excellence

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Behavioral Neuroscience,Human-Computer Interaction,Biomedical Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/2326263X.2021.2014678

Reference57 articles.

1. Monitoring amyotrophic lateral sclerosis by biomechanical modeling of speech production

2. Ideomotor silence: the case of complete paralysis and brain–computer interfaces (BCI)

3. Brain–computer interfaces and communication in paralysis: Extinction of goal directed thinking in completely paralysed patients?

4. P300 latency jitter and its correlates in people with amyotrophic lateral sclerosis

5. Brain-computer interface (BCI) evaluation in people with amyotrophic lateral sclerosis

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