B-Alert X Series – Mobile EEG
Manufacturer: ABM
Advanced Brain Monitoring’s wireless B-Alert systems expands the horizon for operational neuroscience applications and cognitive state/human factors assessments. The simplicity, ease of use, comfort and wearability of its systems allow high quality data to be acquired in real or virtual environments by personnel with limited technical training.
Advanced Brain Monitoring’s wireless B-Alert systems expands the horizon for operational neuroscience applications and cognitive state/human factors assessments. The simplicity, ease of use, comfort and wearability of its systems allow high quality data to be acquired in real or virtual environments by personnel with limited technical training.
ABM’s products provide the flexibility to determine where sensors need to be placed to optimise cognition detection and then downsize to a truly mobile acquisition system with real-time processing and feedback.
B-AlertX 10 features nine channels of high-quality EEG plus one optional ECG, EOG, EMG, ECG channel.
B-AlertX 24 features 20 channels of high-quality EEG plus one optional ECG, EOG, EMG, ECG channel.
Other product highlights include:
- 10 minute rapid setup
- Automated wireless impedance checks
- Bluetooth wireless range up to 10 meters
- 8+ hour rechargeable battery life
- On-board accelerometer to quantify head movement and position
- Data quality monitoring and feedback
- Sizing to fit adolescent (age 6) through adult heads
- Multiple options for data synchronisation.
Each X-Series system includes acquisition software with functionality including:
- Acquisition, storage and display of raw data signals
- Data quality assessment including identification of artifacts
- Impedance checks on demand
- Capability for manual event marking and annotation of files
- Integration with third party event markers using the External Syncing Unit (ESU)
- Automated delivery of resting state tasks eye open and eyes closed
- Files saved in European Data Format (EDF)
- Full SDK to facilitate programming access to all software functions
- Supports MP4 video recording / remote video monitoring.
Biomarkers
A growing body of evidence suggests that EEG analyses, including both resting state and event-related stimulation protocols, may be useful in the development of Biomarkers for a number of neurological and psychiatric disorders.
Brain Computer Interface
With B-Alert BCI development tools, developers are provided rapid prototyping tools to fit the right approach with the right task. Within clinical environments, the results are recovery of lost function and accelerated healing. In other applications, BCIs facilitate more efficient interactions between man and machine.
Neuromarketing
Market researchers require verifiable, accurate, and consistent biometric signals to ensure valid interpretation of their target audience’s responses. In addition to being mobile, ease-to-use, and comfortable for hours, B-Alert EEG technologies have an established track record for high quality, reliable signals.
Team Neurodynamics
The Team NeuroDynamics platform provides biometric measures that reveal the underlying reasons as to why teams, groups, or individuals within them perform the way they do. The synchronisation of up to six B-Alert mobile EEG systems delivers quantitative, real-time and objective psychophysiological metrics for understanding social interactions and team metacognitive states.
Human Performance Enhancement
The ‘mental game’ of sports, performance, and learning reaches new levels through EEG-based brain mapping techniques. By understanding the biological differences between expert and novice cognitive states during performance, teachers can teach better and students can learn faster.
Fatigue Management and Safety
A growing body of evidence suggests that EEG analyses, including both resting state and event-related stimulation protocols, may be useful in the development of Biomarkers for a number of neurological and psychiatric disorders.
Facebook IQ commissioned a study with one of our partners, Neurons Inc, to compare how participants in the US responded both cognitively and emotionally to conversing in virtual reality versus having a conversation face to face. Participants wore EEG headsets to analyse their brain signals and measure their level of comfort and engagement.
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