Bitbrain (formerly Liftware) is a Spanish neurotechnology company specializing in wearable brain monitoring solutions for medical, research, and consumer applications. Founded in 2012 and headquartered in Zaragoza, Spain with operations in San Francisco, Bitbrain develops high-quality EEG headsets and biosensing technologies used by leading research institutions worldwide.
The company's origins trace back to its tremor-suppression technology (Liftware), which was acquired by Google in 2017. This consumer health focus evolved into a comprehensive neurotechnology platform centered on wearable EEG systems for both clinical and research applications.
Bitbrain produces a range of wearable EEG systems designed for different use cases:
| Product |
Channels |
Type |
Target Application |
| EPOC X |
14+ |
Dry EEG |
Research, consumer |
| EPOC Flex |
32 |
Gel-based |
Clinical research |
| EPOC+ |
14 |
Dry EEG |
Research, consumer |
| Muse |
4 |
Dry EEG |
Consumer (partnership) |
Bitbrain's EEG systems incorporate advanced engineering:
- Sampling Rate: 256-512 Hz depending on model, enabling high-fidelity signal capture
- ADC Resolution: 24-bit analog-to-digital conversion for precision signal acquisition
- Frequency Response: 0.1-100 Hz full spectrum coverage
- Impedance Monitoring: Real-time electrode contact quality verification
- Wireless Transmission: Bluetooth 5.0 for low-latency data streaming
- Battery Life: 6-12 hours continuous recording for extended monitoring sessions
Multi-modal biosensing capabilities enable comprehensive physiological monitoring:
- EEG: High-quality brain wave monitoring using standardized 10-20 electrode positions
- EOG: Electrooculography for eye movement tracking, artifact removal, and sleep analysis
- EMG: Electromyography for muscle activity measurement in movement disorder studies
- PPG: Photoplethysmography for heart rate and autonomic nervous system assessment
- Accelerometer: Head movement tracking for artifact correction and motion analysis
- Skin Conductance: Galvanic skin response for emotional arousal detection
Bitbrain technology emphasizes research-grade signal quality:
- Active Electrodes: Built-in pre-amplification reduces artifact and noise susceptibility
- High Input Impedance: Maintains signal quality across varying scalp conditions
- Common Mode Rejection: Advanced filtering removes environmental interference
- Wireless Design: Eliminates movement artifacts from cable connections
Long-term EEG monitoring for seizure detection represents a major clinical application:
- Ambulatory Monitoring: Patients can wear devices at home during daily activities
- Seizure Detection: Automated algorithms identify epileptiform discharges
- Pre-Surgical Evaluation: Video-EEG monitoring for epilepsy surgery planning
- Drug-Resistant Epilepsy: Continuous monitoring to optimize treatment strategies
EEG-based sleep assessment enables comprehensive sleep studies:
- Polysomnography Compatibility: Integration with full sleep lab setups
- Home Sleep Testing: Reduced need for sleep laboratory visits
- Sleep Stage Classification: Automated sleep architecture analysis
- REM Behavior Disorder: Detection of abnormal REM sleep patterns
BCI-based motor rehabilitation has shown significant promise:
- Motor Imagery Detection: Identifying movement intentions from neural signals
- Neurofeedback Training: Enhancing motor recovery through brain activity visualization
- Rehabilitation Device Control: Brain-controlled prosthetics and assistive devices
- Progress Monitoring: Objective measures of recovery over time
For Parkinson's disease and other movement disorders:
- Tremor Analysis: Characterizing tremor frequency, amplitude, and severity
- Dyskinesia Monitoring: Detecting medication-induced involuntary movements
- Deep Brain Stimulation Optimization: Guiding stimulation parameter settings
- Circadian Pattern Analysis: Tracking symptom fluctuations throughout the day
¶ Alzheimer's Disease and Dementia
EEG technology shows particular promise for Alzheimer's disease monitoring:
- Theta/Alpha Ratio: Elevated theta relative to alpha indicates cognitive impairment
- EEG Slowing: Progressive frequency reduction correlates with disease severity
- Event-Related Potentials: P300 latency delays indicate processing speed reduction
- Connectivity Changes: Altered functional connectivity patterns in resting state
- Sleep Architecture: Disrupted sleep patterns as early biomarkers
Bitbrain equipment is used in leading research institutions globally:
- Neuroscience Laboratories: Over 3,000 publications cite Bitbrain equipment
- Neuroimaging Studies: Functional brain mapping and connectivity research
- Cognitive Neuroscience: Attention, memory, and executive function studies
- Brain-Computer Interface Development: BCI algorithm development and testing
Bitbrain technology supports pharmaceutical and device research:
- EEG Endpoints: Objective measures for clinical trial outcomes
- Biomarker Development: EEG-based disease progression markers
- Drug Efficacy Monitoring: Tracking treatment effects on brain activity
- Natural History Studies: Understanding disease progression
The open platform enables algorithm and application development:
- Signal Processing: Developing advanced EEG analysis methods
- Machine Learning: Training neural decoding algorithms
- Application Development: Creating brain-controlled interfaces
Published research using Bitbrain technology demonstrates broad applicability:
- Epilepsy monitoring and seizure prediction studies
- Sleep disorder diagnostics and circadian rhythm research
- Cognitive neuroscience and attention studies
- BCI development and human-computer interaction research
Bitbrain maintains regulatory clearance for various applications:
- FDA Cleared: Selected devices for clinical use
- CE Marked: European market clearance
- Medical Device Certifications: Various international regulatory approvals
| Feature |
Bitbrain EPOC |
Clinical EEG |
OpenBCI |
| Channels |
14-32 |
19-256 |
8-64 |
| Portability |
High |
Low |
High |
| Cost |
$$ |
$$$$ |
$ |
| Medical Clearance |
Some models |
Yes |
No |
| Setup Time |
Minutes |
Hours |
Minutes |