Uploaded December 2025 | Updated September 2026, 3 hours ago
This webinar presents a novel approach for detecting learning disorders by extracting heartrate variability (HRV) from functional near-infrared spectroscopy (fNIRS) signals. By integrating physiological and cerebral measurements, the method enables explainable detection of cognitive impairments through machine learning. The session will explore the underlying signal processing techniques, experimental setup, and key findings, highlighting the potential of fNIRS as a dual-purpose tool for both brain and cardiovascular monitoring in educational and clinical settings.
This webinar presents a novel approach for detecting learning disorders by extracting heartrate variability (HRV) from functional near-infrared spectroscopy (fNIRS) signals. By integrating physiological and cerebral measurements, the method enables explainable detection of cognitive impairments through machine learning. The session will explore the underlying signal processing techniques, experimental setup, and key findings, highlighting the potential of fNIRS as a dual-purpose tool for both brain and cardiovascular monitoring in educational and clinical settings.
