Sleep Quality Monitoring Dashboard

Short Nap & Desk-Sleep Detection for Campus Environments

Project Overview

Non-intrusive wearable system for monitoring short naps and desk-sleep in classroom/workspace environments using multi-sensor biometric data.

💤 Short Nap Focus

  • Desk-sleep detection system
  • Realistic campus testing
  • Classroom drowsiness monitoring

📊 Multi-Signal Analysis

  • Muscle activity (EMG sensor)
  • Heart rate (ECG sensor)
  • Oxygen levels (SpO2 sensor)
  • Body movement (IMU sensor)

🔬 Volunteer Testing

  • Real data from test subjects
  • ThingSpeak IoT integration
  • Comprehensive sleep stage mapping

Dashboard Sections

Subject Data

  • Individual sleep monitoring
  • Baseline measurements
  • Nap session analysis

Technical Specifications

Sensors

  • EMG sensor (Muscle Sensor v3)
  • ECG sensor (AD8232)
  • SpO2 sensor (MAX30102)
  • IMU sensor (MPU6080)

System Design

  • ESP32 microcontroller
  • 3 PCB modules (sensors + power)
  • Wearable backpack-mounted design
  • Calibrated against smartwatch
  • ECG sampling at 250 Hz

Data Platform

  • ThingSpeak IoT integration
  • 8-channel data streaming
  • Real-time web dashboard
  • Multi-subject monitoring

ThingSpeak Configuration

System configured for real-time data collection from ThingSpeak platform.

Channel ID: 3188672
Data Fields:
  • Field 1: BPM
  • Field 2: SpO2
  • Field 3: ECG
  • Field 4: Temperature (unused)
  • Field 5: EMG
  • Field 6: MPU
  • Field 7: User ID (1-4)
  • Field 8: Session ID (0=baseline, 1-3=sleep)
Status: Checking...