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Table 1 Participants of the interview study (names have been pseudonymized)

From: What is it like to use a BCI? – insights from an interview study with brain-computer interface users

Participants (name, age)

Diagnosis

Technologies used

BCI technology (applications)

Number of BCI (training) sessions

Stefan, 24

generalized dystonia

wheelchair, eye tracker, computer

NIRS-BCI (Near-Infrared Spectroscopy), non-invasive

1

Walter, 32

muscle atrophy

wheelchair, email/typing and voice recognition software, computer, respiration apparatus

P300-BCI (email-Software, Brain Painting), non-invasive

3

Wolfgang, 31

muscle atrophy

wheelchair, email/typing and voice recognition software, computer, respiration apparatus

P300-BCI (email-Software, Brain Painting), non-invasive

3

Karl, 46

Duchenne muscle dystrophy

wheelchair, email/typing software, computer, respiration apparatus

P300-BCI (email-Software, Brain Painting), non-invasive

Ca. 20

Mrs. Edlinger, 77

amyotrophic lateral sclerosis

wheelchair, email/typing software, computer, BCI

P300-BCI (Brain Painting), non-invasive

> 100 (ongoing)

Rudi, 27

tetraplegia

wheelchair, computer

MI-BCI (motor imagery) (BrainRunners), non-invasive

> 50

Robert, 51

paraplegia

wheelchair, computer

MI-BCI (+exoskeleton training), non-invasive

> 50 (ongoing)

Neil, 30

tetraplegia

wheelchair, email/typing and voice recognition software, computer

MI-BCI (+ robotic arm), invasive (implanted electrodes)

> 50 (ongoing)

Nicole, 58

spinocerebellar ataxia

wheelchair, email/typing and voice recognition software, computer, respiration apparatus

MI-BCI (+ robotic arm), invasive (implanted electrodes)

> 100