DeepDream: Smart Earbuds for Sleep Health Monitoring

December 1, 2024 · 2 min read
projects

An in-ear wearable device for comprehensive sleep health monitoring with multimodal physiological sensing capabilities.

Overview

DeepDream is a smart earbud platform designed for continuous sleep health monitoring. By leveraging the unique sensing opportunities of the ear canal, DeepDream captures rich multimodal physiological and behavioral signals during sleep, enabling advanced sleep analysis and health assessment.

PSG-Grade Monitoring — DeepDream aims to achieve polysomnography (PSG) level accuracy for sleep monitoring in a comfortable, at-home wearable form factor, making clinical-grade sleep assessment accessible outside the lab.

Key Features

  • 3-Channel PPG Sensing — High-fidelity photoplethysmography for blood oxygen saturation (SpO2), heart rate, and heart rate variability (HRV) monitoring
  • In-Ear EEG — Brain activity monitoring for sleep stage detection and sleep quality assessment
  • Body Temperature — Continuous in-ear temperature tracking for circadian rhythm and health monitoring
  • Infrasound Microphone — Captures heart sounds and respiratory sounds for cardiopulmonary health assessment
  • 6-Axis IMU — Motion tracking for sleep position detection and movement analysis
  • Comfortable Design — Ergonomic form factor for all-night wear

Sensing Capabilities

Cardiovascular Monitoring

  • Real-time heart rate and HRV analysis
  • Blood oxygen saturation (SpO2) tracking
  • Heart sound analysis via infrasound microphone

Sleep Analysis

  • Sleep stage classification (light, deep, REM sleep)
  • Sleep quality metrics
  • Sleep apnea detection
  • Snoring detection

Respiratory Monitoring

  • Breathing rate tracking
  • Respiratory sound analysis
  • Breathing pattern detection

Body Metrics

  • Core body temperature monitoring
  • Sleep position tracking
  • Movement and restlessness analysis

Applications

  • Sleep Research — Longitudinal sleep studies and sleep disorder research
  • Digital Health — Home sleep monitoring and telemedicine
  • Wellness Tracking — Personal sleep optimization and health insights
  • Clinical Applications — Sleep apnea screening, cardiovascular health monitoring

Technical Advantages

The in-ear form factor provides several unique advantages:

  • Stable Signal Quality — Minimal motion artifacts compared to wrist-worn devices
  • Rich Sensing Modalities — Access to EEG, temperature, and acoustic signals
  • Comfortable for Sleep — Designed for all-night wear without discomfort
  • Privacy-Preserving — On-device processing for sensitive health data

For Researchers

DeepDream provides a comprehensive platform for sleep and health research with:

  • Raw sensor data access
  • Customizable signal processing pipelines
  • Integration with sleep analysis algorithms
  • Support for longitudinal studies

Perfect for sleep research labs, digital health studies, and wearable computing research focused on physiological monitoring during sleep.

Yuntao Wang
Authors
Associate Professor (Research Track)
Yuntao Wang’s research centers on physiobehavioral computing and intelligent interaction for mobile and wearable systems. His work focuses on (1) developing robust, efficient sensing that performs reliably on mainstream devices, (2) extracting spatiotemporal patterns from multimodal signals to infer interaction intent by leveraging natural behavioral correlations, and (3) designing edge-efficient interfaces that deliver high performance on mobile and wearable platforms. He has published 90+ papers, received 10 international conference awards, and holds 30+ granted patents. His contributions have been recognized with honors including the Wu Wenjun AI Outstanding Youth Award (2024), the CAST Young Elite Scientists Sponsorship Program (2022), the Qinghai High-Level Innovation & Entrepreneurship Leading Talent (2024), and the First Prize of the China Electronics Institute Science & Technology Award (2019).