A dataset of EEG and EOG from an auditory EOG-based communication system for patients in locked-in state

Sci Data. 2021 Jan 11;8(1):8. doi: 10.1038/s41597-020-00789-4.

Abstract

The dataset presented here contains recordings of electroencephalogram (EEG) and electrooculogram (EOG) from four advanced locked-in state (LIS) patients suffering from ALS (amyotrophic lateral sclerosis). These patients could no longer use commercial eye-trackers, but they could still move their eyes and used the remnant oculomotor activity to select letters to form words and sentences using a novel auditory communication system. Data were recorded from four patients during a variable range of visits (from 2 to 10), each visit comprised of 3.22 ± 1.21 days and consisted of 5.57 ± 2.61 sessions recorded per day. The patients performed a succession of different sessions, namely, Training, Feedback, Copy spelling, and Free spelling. The dataset provides an insight into the progression of ALS and presents a valuable opportunity to design and improve assistive and alternative communication technologies and brain-computer interfaces. It might also help redefine the course of progression in ALS, thereby improving clinical judgement and treatment.

Publication types

  • Dataset

MeSH terms

  • Amyotrophic Lateral Sclerosis* / diagnosis
  • Amyotrophic Lateral Sclerosis* / physiopathology
  • Electroencephalography*
  • Electrooculography*
  • Eye Movements
  • Humans