April 3, 2025
Hypnus today unveils the science behind its EEG-based sleep monitoring and AI-driven solution, explaining how precise brainwave analysis can transform sleep health and overall well-being.
Electroencephalography (EEG) records the brain's electrical activity via non-invasive sensors, revealing distinct patterns across sleep stages:
· Awake: Dominated by fast β-waves (13–30 Hz)
· Light Sleep (N1–N2): Characterized by θ-waves (4–8 Hz) and K-complexes
· Deep Sleep (N3): Marked by slow δ-waves (0.5–4 Hz)
· REM Sleep: A mix of frequencies with rapid eye movements
By sampling at 1000 Hz, Hypnus captures these subtle signals with medical-grade fidelity—30% higher signal quality than comparable devices—enabling accurate, real-time staging of every sleep cycle.
· Early Disorder Identification: Detect irregular sleep patterns, such as fragmented REM or reduced deep-sleep duration, long before symptoms manifest.
· Personalized Health Insights: Correlate sleep stages with daytime performance, stress levels, and mood, empowering users to make targeted lifestyle changes.
· Objective Progress Tracking: Rely on hard data rather than subjective sleep diaries, fostering long-term adherence to healthier sleep habits.
· Multi-Sensor Fusion: Integrates high-precision EEG electrodes, a 6-axis gyroscope, and temperature sensors for comprehensive brain-body monitoring.
· Low-Power Neuroscience Chip: Custom ASIC delivers 10+ hours of continuous recording on a single charge, with no compromise on user comfort.
· Ergonomic Wearable Design: A 27-gram ring form factor—light, non-restrictive, and ideal for nightly use.
· LightSleepNet Algorithm: A lightweight 1D-CNN model with adaptive batch normalization, achieving 83.8% sleep-stage accuracy without per-user retraining.
· Real-Time Analysis & Guidance: The Hypnus App visualizes EEG and movement data, generates a dynamic Sleep Score, and delivers actionable recommendations, such as optimized bedtime rituals or breathing exercises, to enhance restorative sleep.
Hypnus's strength lies in end-to-end integration:
· Data Capture: Hypnus Ring records high-resolution EEG and motion data.
· Intelligent Analysis: AI algorithms interpret the signals and adapt to each user's unique sleep signature.
· Personalized Feedback: Users receive timely, science-backed guidance via the app.
· Continuous Refinement: Each night's data refines the model, creating a virtuous cycle of improvement.
Backed by 25 patents plus 30+ peer-reviewed publications, Hypnus is on a mission to end the global sleep crisis. By combining EEG precision, AI personalization, and an ergonomic wearable, Hypnus empowers individuals and clinicians alike to monitor, understand, and optimize sleep, setting a new standard for sleep health management.