Effectiveness and Acceptability of a Digital Solution to Train Specific EEG Frequencies With Neurofeedback for Improving Sleep
Last updated on July 2021Recruitment
- Recruitment Status
- Recruiting
- Estimated Enrollment
- Same as current
Summary
- Conditions
- Insomnia
- Sleep Disorder
- Type
- Interventional
- Phase
- Not Applicable
- Design
- Allocation: N/AIntervention Model: Single Group AssignmentIntervention Model Description: Interventional, prospective, open-labelled, multicenter, French studyMasking: None (Open Label)Primary Purpose: Other
Participation Requirements
- Age
- Between 18 years and 70 years
- Gender
- Both males and females
Description
Among the parameters of brain activity used in neurofeedback, the most frequently used EEG activity is training to strengthen sensorimotor rhythms (SMR). This training could make it possible to reduce cortical hyperstimulation associated with certain sleep disorders. Our hypothesis is that the appli...
Among the parameters of brain activity used in neurofeedback, the most frequently used EEG activity is training to strengthen sensorimotor rhythms (SMR). This training could make it possible to reduce cortical hyperstimulation associated with certain sleep disorders. Our hypothesis is that the application of such a neurofeedback technique in an ecological situation at home will improve the subjective quality of their sleep. The subject must perform, at home, at least 3 sessions per week with the URGOnight solution for about 4 months. Since regularity is important in order to observe effects, subjects are followed up by smartphone application at least 3 times over the training period.
Tracking Information
- NCT #
- NCT04777799
- Collaborators
- Urgotech
- University Hospital, Grenoble
- Investigators
- Not Provided
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