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How Radar Distinguishes Between Turning Over and Micro-Breathing Movements
SOMNDEEP’s core technology relies on radar’s ability to detect extremely subtle movements, but it faces a challenge: the body produces many types of motion during sleep. How does the system tell the difference between a small movement like breathing and a large movement like turning over?
Understanding Radar Signals
Millimeter-wave radar emits electromagnetic waves that bounce off objects and return to the sensor. The returned signals contain tiny variations that reflect motion:
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Breathing: produces slow, rhythmic changes in the reflected signal.
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Heartbeats: cause subtle, high-frequency vibrations.
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Body movements (like turning): generate larger, abrupt changes.
SOMNDEEP’s algorithms analyze these patterns in real time, distinguishing between micro-movements and gross movements.
Real-World Analogy
Think of radar as watching ripples in a pond. A light breeze creates tiny ripples (like breathing), while a stone thrown into the water creates big waves (like turning over). By analyzing the scale and frequency of the waves, you can tell the difference between subtle and significant disturbances.
Why This Matters
Accurately differentiating between small and large movements is crucial for sleep analysis:
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It prevents minor motions from being misclassified as awake periods.
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It allows precise measurement of sleep stages, based on body stillness and physiological rhythms.
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It ensures the overall sleep quality score reflects real rest, not artifacts caused by random movement.
SOMNDEEP’s radar technology achieves this without requiring any contact, making it one of the most reliable ways to capture high-fidelity sleep data.
Summary
Radar technology enables SOMNDEEP to distinguish between large body movements and breathing micro-movements. This separation is essential for accurate, contactless sleep monitoring and continuous overnight observation.
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