Mobile EEG App

For Real-World Neurophysiological
Data Acquisition

A research-grade mobile EEG solution enabling clinicians and scientists to collect high-quality brain signals outside the laboratory in real-world environments.

Used in cognitive neuroscience research, neurofeedback studies, and digital biomarker development.

BrainGoMo mobile EEG app showing training session and brainwave preview

App Workflow

Overview

Designed for Scalable Mobile Neurofeedback

BrainGoMo provides a structured mobile workflow for EEG-based neurofeedback training, enabling researchers and clinicians to configure sessions, monitor engagement, and collect longitudinal neurophysiological data remotely.

The platform enables clinicians and researchers to:

  • Monitor participant engagement
  • Prescribe neurofeedback paradigms
  • Extract real-world neurophysiological data remotely
BrainGoMo app — Overview

Connect EEG Device

Connect Wearable EEG Devices

BrainGoMo supports wearable EEG systems for real-time neurophysiological monitoring and neurofeedback training. The app enables streamlined device pairing, signal quality monitoring, and continuous EEG streaming within mobile environments.

Supported Device Features:

  • Bluetooth connectivity
  • Signal quality monitoring
  • Multi-device compatibility
  • Real-time synchronization
  • User-friendly FFT streaming
BrainGoMo app — Connect EEG Device

Choose Training Mode

Adaptive Neurofeedback Training Modes

BrainGoMo includes configurable EEG-based neurofeedback paradigms designed for attention regulation, emotional balance, cognitive engagement, and physiological relaxation.

Each protocol targets specific EEG dynamics and can be adapted for clinical research and training objectives:

  • Alpha Focus (Alpha/SMR) — Sustained attention and calm cognitive engagement
  • Emotional Relaxation (Theta/Alpha) — Emotional regulation and dynamic awareness training
  • Easy Relaxation (Delta/Theta) — Promotes calmness and physiological relaxation
BrainGoMo app — Choose Training Mode

Session Parameters

Flexible Session Configuration

BrainGoMo enables clinicians and researchers to configure neurofeedback sessions according to study protocols, individualized workflows, and remote monitoring requirements.

Basic Parameters:

  • Number of Blocks — Configure the number of neurofeedback cycles within a session
  • Block Duration — Define each neurofeedback block duration
  • Break Interval — Set recovery periods between training blocks

Advanced Parameters:

  • EEG Channels — Select target recording channels and neurofeedback configurations
  • Difficulty Level — Adjust adaptive neurofeedback sensitivity and challenge levels
BrainGoMo app — Session Parameters

Choose Training Task

Interactive Neurofeedback Training Environments

BrainGoMo transforms EEG feedback into interactive digital experiences designed to support engagement, adherence, and adaptive learning.

Gamified and media-based neurofeedback environments help maintain participant motivation during longitudinal training workflows:

  • Games — Interactive neurofeedback games dynamically respond to ongoing brainwave activity
  • Media Training — Neurofeedback-responsive audiovisual experiences provide calming and adaptive feedback environments
BrainGoMo app — Choose Training Task

Home & Progress Tracking

Longitudinal Monitoring & Neurofeedback Analytics

The BrainGoMo home interface centralises recent sessions, neurofeedback metrics, longitudinal trends, and behavioral analytics within a unified mobile dashboard.

This enables continuous monitoring of neurophysiological and behavioral dynamics over time.

BrainGoMo app — Home & Progress Tracking

Clinical & Research Applications

  • Attention & ADHD Studies
  • Stress & Relaxation Research
  • Emotional Regulation Training
  • Digital Therapeutics Research
  • Remote Neurofeedback Studies

Explore The BrainGoMo Platform

Explore the BrainGoMo Ecosystem

Discover BrainGoMo’s mobile EEG infrastructure, adaptive neurofeedback workflows, wearable integrations, and longitudinal monitoring capabilities.