Healthy Volunteer
Conditions
Keywords
Electrocardiography, Electroencephalography, Neural Correlates, Mental Workload
Brief summary
The goal is to identify neuro-physiological signatures at several levels of mental workload during the realisation of tasks, performed by all the subjects. In parallel, there will be a methodological work consisting to develop the classification algorithms, predictives of these levels of mental workload in real time, in purpose to implement a passive brain-machine interface in the best interest of operators that accomplish complex tasks. Mesures of electro-physiological activity will be recorded in order to approve states of charge in addition to behavioral performances.
Interventions
OTHERElectroencephalography and Electrocardiography
Sponsors
University Hospital, Grenoble
Study design
Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
BASIC_SCIENCE
Masking
NONE
Eligibility
Sex/Gender
ALL
Age
20 Years to 40 Years
Healthy volunteers
Yes
Inclusion criteria
* Signed informed consent * Medical examination made before search involvement * Between 20 and 40 years * Right-handed * Minimum study level : Baccalauréat * Membership of the French social security * Normal vision and hearing (or corrected to normal)
Exclusion criteria
* Sujects included in a clinical or therapeutic trial in progress * Vision or hearing essential disorder * Neurological or neuropsychiatric pathology current or gone * Drug treatment which could alter brain activity (antidepressants, benzodiazepine, lithium etc) * Pregnant, parturient or breast feeding women * All other category of protected people
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Electroencephalography (EEG) | 10 minutes | With a EEG helmet. Classical Stemberg's task Stemberg's task with time pressure N-back task Mental arithmetic task 13 minutes MATB Multi-Attribute Task Battery : Divided attention task |
| Electrooculography (EOG) | 10 minutes | Simultaneously to EEG : electrooculography (EOG) will be recorded With a EEG helmet. Classical Stemberg's task Stemberg's task with time pressure N-back task Mental arithmetic task 13 minutes MATB Multi-Attribute Task Battery : Divided attention task |
| Subjective and behavioral data | 10 minutes | KSS scale to evaluate the patient's state of alertness Classical Stemberg's task Stemberg's task with time pressure N-back task Mental arithmetic task 13 minutes MATB Multi-Attribute Task Battery : Divided attention task |
Countries
France
Outcome results
None listed