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ICSE 2022

Repairing Brain-Computer Interfaces with Fault-Based Data Acquisition

Cailin Winston, Caleb Winston, Chloe N. Winston, Claris Winston, Cleah Winston, Rajesh P. N. Rao, René Just

PDFDOI 10.1145/3510003.3512764dblp

Abstract

Brain-computer interfaces (BCIs) decode recorded neural signals from the brain and/or stimulate the brain with encoded neural signals. BCIs span both hardware and software and have a wide range of applications in restorative medicine, from restoring movement through prostheses and robotic limbs to restoring sensation and communication through spellers. BCIs also have applications in diagnostic medicine, e.g., providing clinicians with data for detecting seizures, sleep patterns, or emotions.

BibTeX
@inproceedings{Winston-al:ICSE22,
  author    = {Cailin Winston and
               Caleb Winston and
               Chloe N. Winston and
               Claris Winston and
               Cleah Winston and
               Rajesh P. N. Rao and
               Ren{\'{e}} Just},
  title     = {Repairing {Brain-Computer} Interfaces with {Fault-Based} Data Acquisition},
  booktitle = {ICSE},
  pages     = {1869--1880},
  publisher = {{ACM}},
  year      = {2022},
}

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