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NeuroMate · Neurological Monitoring
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Research & Partnerships

Active research in development.

Research conducted in partnership with the Brain Institute at UFRN and partner institutions: neuroscience, biomedical engineering, neonatology.

Neonatal EEG traces in a bipolar montage, with the seizure period highlighted.

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.

Respiratory signal extracted from video, raw above and detrended below, with the detected peaks marked.

Contactless respiration

Respiratory rate estimated from video through thoracoabdominal segmentation and optical-flow analysis, with no electrode or belt on the infant.

Movement heatmap beside the 17 anatomical keypoint model used for pose estimation.

Movement and posture

Pose estimation on NICU video to describe activity and posture through the stay, the basis for reading spontaneous behaviour.

Three newborns with body parts segmented as opaque masks: head, trunk, diaper, arms and legs.

Neonate segmentation

Whole-body and body-part segmentation with promptable foundation models, delimiting the region of interest the other signals come from.

The fronts above share the same corpus and build on one another: segmentation delimits the region of interest the respiration and movement signals come from. The work is conducted with researchers at the Brain Institute, UFRN, focused on the neonatal ICU, and feeds directly into the platform’s models and clinical validation.

Figures adapted from Ribeiro et al. (2026), European Journal of Pediatrics, under CC BY 4.0. EEG traces over the Helsinki neonatal EEG dataset (Stevenson et al., 2019), CC BY 4.0.

Publications

Peer-reviewed research.

Peer-reviewed articles produced with the NeuroMate team and partner institutions.