Audio-based snore and sleep apnea detection on smartphones — two CNN baselines with multi-seed bootstrap validation.
An ESP32-MATLAB based real-time snoring analysis system that wirelessly acquires audio from an INMP441 MEMS microphone, performs digital signal processing, detects snore events, computes the Snore Index, extracts acoustic features, and estimates sleep apnea severity.
M5Stack CoreS3LITE Sleep Aid Clock - Campfire scene + ember particles + fireflies + rain WAV + touch controls. Roadmap: snore detection via built-in mic + sleep posture via IMU. Built with ESP32-S3 + M5Unified + PlatformIO
An interactive anatomical infographic that explains five states of nighttime breathing — from normal, quiet breathing through four clinical types of snoring — by deforming a single sagittal (side-profile) head diagram and animating airflow in real time. Version: 2.0 (production)
整夜录音、端侧识别的睡眠声音分析 App（Flutter + CED-tiny ONNX）。音频不出设备，没有账号也没有服务器。
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