, a complete hardware and software solution designed for remote sleep studies. 

 within a participant-friendly workflow that includes guided setup and real-time signal quality verification. 

Bitbrain introduces HomeLab for at-home Sleep Research 

, Chief Technology Officer at Bitbrain, to discuss the development of biosensors for scientific investigation and explore current challenges in physiological data acquisition. 

While EEG remains a core research area, the discussion also covered other physiological signals, including 

Vaidotas Marozas visits Bitbrain to discuss the future of biosensing 

Bitbrain makes a growing collection of open-access EEG datasets available to the scientific community, covering sleep monitoring, wearable EEG and recordings acquired with different sensor technologies.

The set contains 128 nights of simultaneous polysomnography (PSG) and wearable EEG recordings acquired using Bitbrain Ikon Sleep, providing 

Other datasets include recordings registered with textile-based EEG technology, as well as data collected using gel, water-based, and dry EEG systems. These resources let researchers explore and compare different EEG acquisition approaches.

Bitbrain is offering open EEG datasets for neuroscience research

The project began as a final-year engineering thesis by Marta Rodríguez Comino, supervised by Dr. Joaquín T. Valderrama and Dr. Iván López Espejo at the 

Participants were asked to focus on a chosen digit while numbers appeared on a screen. When the target appeared, it triggered a stronger P300 response, a brain signal associated with attention. Using 

, signal processing and machine learning, the system could distinguish the attended digit from the others.

P300 brain-computer interface moves from lab to classroom

One of the highlighted studies titled “𝘌𝘹𝘱𝘭𝘰𝘳𝘪𝘯𝘨 𝘶𝘯𝘤𝘰𝘯𝘴𝘤𝘪𝘰𝘶𝘴 𝘶𝘴𝘦𝘳 𝘳𝘦𝘴𝘱𝘰𝘯𝘴𝘦𝘴 𝘵𝘰 𝘢𝘧𝘧𝘦𝘤𝘵𝘪𝘷𝘦 𝘤𝘰𝘮𝘱𝘶𝘵𝘪𝘯𝘨 𝘪𝘯 𝘪𝘯𝘵𝘦𝘳𝘢𝘤𝘵𝘪𝘷𝘦 𝘱𝘳𝘰𝘵𝘰𝘵𝘺𝘱𝘦𝘴: 𝘢 𝘤𝘰𝘯𝘴𝘶𝘮𝘦𝘳 𝘯𝘦𝘶𝘳𝘰𝘴𝘤𝘪𝘦𝘯𝘤𝘦 𝘴𝘵𝘶𝘥𝘺”, conducted by researchers from the 

 and the Autonomous University of Madrid. It examines how users react to emotionally adaptive systems in real time. The investigation employed a multimodal setup: 

 Pro Nano eye tracker, all synchronized with 

: a character that adapts facial expressions to the user’s emotions, and a children’s storytelling task that progresses only when happiness is detected. 

The study showed that emotion-responsive systems produce stronger engagement, higher cognitive effort, and more intense emotional responses than non-adaptive versions, while 

 data revealed distinct visual attention patterns depending on emotional expression.

 Bitbrain is recognized as Tobii’s key partner in 2025

López Valdés studied Mathematics at the University of Zaragoza and later earned a PhD in Computational Engineering, followed by an MBA from IE Business School. In 2010, she founded Bitbrain, a neurotechnology company focused on brain monitoring and brain–computer interfaces. Bitbrain’s products are widely used in neuroscience investigation and practical human-behavior studies, supporting applications in cognitive science, neurotechnology, and human–machine interaction. Its 

 and biosignal systems enable the analysis of brain activity, attention, cognitive workload, and user engagement across both research and practical contexts.

What began as an academic initiative in Zaragoza has evolved into an international reference in neurotechnology, applied in analysis, healthcare, and industry.

María López Valdés Recognized as “Influential Woman of the Year” in Aragón

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