Uploaded June 2025 | Updated September 2026, 1 day ago
At the BCI & Neurotechnology Spring School 2025, this presentation explored how mindBEAGLE is transforming the assessment, communication, prediction, and rehabilitation of patients with disorders of consciousness (DOC) and locked-in syndrome (LIS).
mindBEAGLE is an advanced brain-computer interface (BCI) system developed by g.tec that enables clinicians and researchers to objectively assess command following, detect signs of awareness, facilitate YES/NO communication, predict patient outcomes, and support neurorehabilitation. Using high-quality EEG recordings, machine learning algorithms, and evidence-based stimulation protocols, mindBEAGLE provides critical insights into the cognitive state of patients who may be unable to communicate through conventional means.
🔬 Topics covered in this presentation
• Brain-computer interfaces for disorders of consciousness (DOC)
• Assessment of command following abilities
• Detection of consciousness and awareness
• Communication with locked-in syndrome (LIS) patients
• Auditory Evoked Potentials (AEP)
• Vibro-Tactile Evoked Potentials (VTP)
• Motor Imagery-based assessment and communication
• Outcome prediction and recovery forecasting
• Resting-state EEG analysis
• Rehabilitation with vibro-tactile stimulation
• Functional Electrical Stimulation (FES)
• Transcranial Direct Current Stimulation (tDCS)
🧠 How mindBEAGLE Works
mindBEAGLE uses auditory, vibro-tactile, and motor imagery paradigms to determine whether a patient can understand and follow instructions. Advanced EEG analysis and machine learning algorithms identify statistically significant brain responses that provide objective evidence of command following and awareness.
The system can also enable communication through YES/NO responses, helping patients interact with clinicians and family members even when they are unable to speak or move. In addition, mindBEAGLE supports longitudinal monitoring to detect fluctuations in awareness and can help predict patient recovery based on EEG-derived biomarkers.
🏥 Clinical Applications
• Disorders of Consciousness (DOC)
• Unresponsive Wakefulness Syndrome (UWS)
• Vegetative State (VS)
• Minimally Conscious State (MCS)
• Locked-In Syndrome (LIS)
• Complete Locked-In Syndrome (CLIS)
• Neurorehabilitation and recovery monitoring
This session highlights how neurotechnology, EEG, artificial intelligence, and brain-computer interfaces are improving patient assessment and opening new pathways for communication and rehabilitation in some of the most challenging neurological conditions.
More about mindBEAGLE:
https://www.gtec.at/product/mindbeagle/
At the BCI & Neurotechnology Spring School 2025, this presentation explored how mindBEAGLE is transforming the assessment, communication, prediction, and rehabilitation of patients with disorders of consciousness (DOC) and locked-in syndrome (LIS).
mindBEAGLE is an advanced brain-computer interface (BCI) system developed by g.tec that enables clinicians and researchers to objectively assess command following, detect signs of awareness, facilitate YES/NO communication, predict patient outcomes, and support neurorehabilitation. Using high-quality EEG recordings, machine learning algorithms, and evidence-based stimulation protocols, mindBEAGLE provides critical insights into the cognitive state of patients who may be unable to communicate through conventional means.
🔬 Topics covered in this presentation
• Brain-computer interfaces for disorders of consciousness (DOC)
• Assessment of command following abilities
• Detection of consciousness and awareness
• Communication with locked-in syndrome (LIS) patients
• Auditory Evoked Potentials (AEP)
• Vibro-Tactile Evoked Potentials (VTP)
• Motor Imagery-based assessment and communication
• Outcome prediction and recovery forecasting
• Resting-state EEG analysis
• Rehabilitation with vibro-tactile stimulation
• Functional Electrical Stimulation (FES)
• Transcranial Direct Current Stimulation (tDCS)
🧠 How mindBEAGLE Works
mindBEAGLE uses auditory, vibro-tactile, and motor imagery paradigms to determine whether a patient can understand and follow instructions. Advanced EEG analysis and machine learning algorithms identify statistically significant brain responses that provide objective evidence of command following and awareness.
The system can also enable communication through YES/NO responses, helping patients interact with clinicians and family members even when they are unable to speak or move. In addition, mindBEAGLE supports longitudinal monitoring to detect fluctuations in awareness and can help predict patient recovery based on EEG-derived biomarkers.
🏥 Clinical Applications
• Disorders of Consciousness (DOC)
• Unresponsive Wakefulness Syndrome (UWS)
• Vegetative State (VS)
• Minimally Conscious State (MCS)
• Locked-In Syndrome (LIS)
• Complete Locked-In Syndrome (CLIS)
• Neurorehabilitation and recovery monitoring
This session highlights how neurotechnology, EEG, artificial intelligence, and brain-computer interfaces are improving patient assessment and opening new pathways for communication and rehabilitation in some of the most challenging neurological conditions.
More about mindBEAGLE:
https://www.gtec.at/product/mindbeagle/
