Bitbrain
Bitbrain is a pioneering neurotechnology company dedicated to developing high-tech EEG brain sensing devices, software solutions, and neurofeedback programs aimed at enhancing cognitive capabilities, rehabilitation, and health. Their mission is to leverage neuroscience and AI to create innovative, user-friendly solutions for research, health, and societal benefit, fostering neuroplasticity and active aging across all age groups.
Industries
Nr. of Employees
small (1-50)
Bitbrain
C/ Santa Teresa de Jesús, 30-32, local 50006 Zaragoza, Spain
Products
Wearable dry‑electrode EEG headsets
Compact wearable dry‑electrode headsets designed for rapid setup and out‑of‑lab cognitive and emotional state monitoring.
Water‑based multi‑channel EEG caps (including pediatric configurations)
Mobile multi‑channel EEG caps using saline/water-based contacts available in multiple channel counts for higher-fidelity mobile or lab recordings, with pediatric variants.
Textile‑embedded EEG garments and headbands
Sensor-embedded textile headbands and garments for comfortable, self‑administered long‑duration recordings suitable for sleep monitoring and home use.
Multimodal biosignal amplifiers
Portable amplifiers capable of acquiring multiple physiological and motion channels with high temporal synchronization for multimodal human behaviour studies.
Multimodal acquisition and synchronization software
Software for synchronized data collection, stimulus presentation and export to standard analysis toolchains; supports common streaming standards and formats.
Open‑source BCI development platform (processing kernel + GUI)
A modular open-source software ecosystem combining a Python processing kernel and desktop platform for experiment design, real-time processing, ML integration and app deployment for BCI research.
Wearable dry‑electrode EEG headsets
Compact wearable dry‑electrode headsets designed for rapid setup and out‑of‑lab cognitive and emotional state monitoring.
Water‑based multi‑channel EEG caps (including pediatric configurations)
Mobile multi‑channel EEG caps using saline/water-based contacts available in multiple channel counts for higher-fidelity mobile or lab recordings, with pediatric variants.
Textile‑embedded EEG garments and headbands
Sensor-embedded textile headbands and garments for comfortable, self‑administered long‑duration recordings suitable for sleep monitoring and home use.
Multimodal biosignal amplifiers
Portable amplifiers capable of acquiring multiple physiological and motion channels with high temporal synchronization for multimodal human behaviour studies.
Multimodal acquisition and synchronization software
Software for synchronized data collection, stimulus presentation and export to standard analysis toolchains; supports common streaming standards and formats.
Open‑source BCI development platform (processing kernel + GUI)
A modular open-source software ecosystem combining a Python processing kernel and desktop platform for experiment design, real-time processing, ML integration and app deployment for BCI research.
Services
Project services from device and system design to protocol development, synchronized multimodal data collection, analysis and reporting for research, clinical and commercial customers.
Design and conduct of cognitive, clinical and consumer‑neuroscience studies including stimulus design, synchronized multimodal recording, preprocessing and metric extraction.
Modular lab design service to select, integrate and deploy combinations of sensors (EEG, eye tracking, GSR/PPG, cameras, indoor positioning) tailored to client research needs.
Provision of deep-learning sleep-stage classification models, training pipelines and validation against clinical PSG for deployment in home-monitoring and telehealth contexts.
Deployment and clinical application of neurofeedback‑based cognitive stimulation programs with pre/post cognitive assessments and neurophysiological reporting for pediatric, adult and older adult populations.
Project services from device and system design to protocol development, synchronized multimodal data collection, analysis and reporting for research, clinical and commercial customers.
Design and conduct of cognitive, clinical and consumer‑neuroscience studies including stimulus design, synchronized multimodal recording, preprocessing and metric extraction.
Modular lab design service to select, integrate and deploy combinations of sensors (EEG, eye tracking, GSR/PPG, cameras, indoor positioning) tailored to client research needs.
Provision of deep-learning sleep-stage classification models, training pipelines and validation against clinical PSG for deployment in home-monitoring and telehealth contexts.
Deployment and clinical application of neurofeedback‑based cognitive stimulation programs with pre/post cognitive assessments and neurophysiological reporting for pediatric, adult and older adult populations.
Expertise Areas
- Wearable EEG engineering and sensor design
- Multimodal biosignal acquisition and synchronization
- Real-time signal processing and BCI framework development
- EEG analytics and deep-learning for physiological signals
Key Technologies
- Electroencephalography (EEG)
- Dry, semi-dry/water-based and textile-embedded EEG sensors
- Polysomnography (PSG)
- Photoplethysmography (PPG)
News & Updates
Technologies such as Nissan’s Brain-to-Vehicle (B2V) are redefining the future of mobility by establishing a direct connection between drivers’ brain signals and their vehicles. Since its introduction in 2018, the B2V system has undergone significant advancements. It predicts driver’s intentions using EEG data, AI algorithms, and wearable neurotechnology.
Explores advancements in AI-driven automatic sleep scoring using wearable EEG devices, deep learning, and datasets like BOAS, supporting sleep diagnostics, personalized interventions, and remote monitoring.
Summarizes techniques and programs for cognitive stimulation across age groups, including workbooks, brain training games, neurotechnology devices, and their neurobiological basis in neuroplasticity and brain reserve.
Reviews scientific techniques such as EEG, eye tracking, implicit response tests, and facial coding used in neuromarketing, along with ethical considerations and the importance of scientific methodology.
Discusses how mind wandering affects attention, creativity, and mental rest, based on research by Dr. Julia Kam.
Details the development of a B2V system that predicts driver intentions using EEG and AI, enhancing safety.
Technologies such as Nissan’s Brain-to-Vehicle (B2V) are redefining the future of mobility by establishing a direct connection between drivers’ brain signals and their vehicles. Since its introduction in 2018, the B2V system has undergone significant advancements. It predicts driver’s intentions using EEG data, AI algorithms, and wearable neurotechnology.
Explores advancements in AI-driven automatic sleep scoring using wearable EEG devices, deep learning, and datasets like BOAS, supporting sleep diagnostics, personalized interventions, and remote monitoring.
Summarizes techniques and programs for cognitive stimulation across age groups, including workbooks, brain training games, neurotechnology devices, and their neurobiological basis in neuroplasticity and brain reserve.
Reviews scientific techniques such as EEG, eye tracking, implicit response tests, and facial coding used in neuromarketing, along with ethical considerations and the importance of scientific methodology.
Discusses how mind wandering affects attention, creativity, and mental rest, based on research by Dr. Julia Kam.
Details the development of a B2V system that predicts driver intentions using EEG and AI, enhancing safety.