EEG
Continuous neurological monitoring
Uninterrupted acquisition of brain signals with clinical quality, even in highly complex environments such as neonatal ICUs.
How it works
PTEN
Continuous EEG · AI · Neonatal ICU
Every electrical brain signal tells a clinical story.
Continuous neuromonitoring platform integrating EEG, physiological signals, and artificial intelligence, developed from research at the Brain Institute (ICe), UFRN to support real-time clinical decisions.
Live · 250 Hz
Fp1-F3 F3-C3 C3-P3 P3-O1 Resp
48 rpm Recognition
Selected for the Global Deep Tech Pioneers Radar 2026 · Hello Tomorrow
Incubation
Incubated at Metrópole Parque (IMD/UFRN)
Funding
Advanced to the second phase of the Centelha 3 RN programme (FINEP · Sebrae/RN · FAPERN)
Technology
Continuous monitoring, multimodal analysis, real-time decision.
NeuroMate integrates three layers to support clinical teams from the neonatal ICU to chronic neurological follow-up.
AI
Multimodal AI analysis
Algorithms integrate EEG, cardiorespiratory signals, temperature and environmental context to deliver high-resolution analysis.
Models and metrics ICU
Focused clinical application
Focused on preterm neonates, ICU newborns and chronic neurological follow-up, with clear reports for the care team.
Use cases
Prototype · Neonatal ICU About NeuroMate
Continuous neuromonitoring is still a privilege of a few ICUs. Our mission is to cut the cost, open the code and universalize access.
NeuroMate · born from research at the Brain Institute, UFRN
About NeuroMate Research & Partnerships
Active research in development.
Research conducted in partnership with the Brain Institute at UFRN and partner institutions: neuroscience, biomedical engineering, neonatology.
EEG and seizure detection
Neonatal EEG seizure classification with compact networks, validated patient by patient across the 79 newborns of the Helsinki corpus, aimed at running on embedded hardware at the bedside.
Contactless respiration
Respiratory rate estimated from video through thoracoabdominal segmentation and optical-flow analysis, with no electrode or belt on the infant.
Movement and posture
Pose estimation on NICU video to describe activity and posture through the stay, the basis for reading spontaneous behaviour.
Neonate segmentation
Whole-body and body-part segmentation with promptable foundation models, delimiting the region of interest the other signals come from.
Media
In the spotlight.
Videos, posts and updates from the NeuroMate project and research partners at the Brain Institute, UFRN.
