The Slumber Copilot Sleep Protocol is a sleep data standardization framework we developed independently, providing users with comprehensive, scientific, and reliable sleep recording and analysis services. This protocol defines the core functions and data structures of sleep diaries, ensuring data integrity and consistency.
1. Protocol Overview
The Slumber Copilot Sleep Protocol is a unified sleep data standard that covers the entire process from sleep recording, data collection, analysis processing to recommendation generation. This protocol is based on international sleep medicine standards (AASM) and modern sleep science research, providing users with scientific and accurate sleep management tools.
Unified Standard: Frontend, backend, and database maintain consistent sleep data formats
Scientific Foundation: Follows international sleep medicine standards (AASM) and modern sleep science
Completeness: Supports comprehensive sleep data collection from basic to advanced
Flexibility: Supports user-customized sleep recording needs
2. Core Function Modules
The Slumber Copilot Sleep Protocol supports the following core function modules:
Basic Sleep Data
Records users' basic sleep information, including:
Sleep time (bedtime and wake time)
Sleep duration and sleep efficiency calculation
Sleep quality rating (excellent, good, fair, poor)
Number and duration of nighttime awakenings
Assessment of difficulty falling asleep
Subjective Sleep Assessment
Captures users' subjective feelings about sleep, including:
Sleep summary and detailed description
Daytime fatigue level (none, mild, moderate, severe)
Attention and memory state assessment
Mood state recording (calm, anxious, depressed, etc.)
Pre-Sleep State Tracking
Records various factors before sleep to help identify causes affecting sleep:
Main pre-sleep activities (work, exercise, entertainment, etc.)
Pre-sleep mental state (tired, excited, anxious, etc.)
Special events of the day
Physical discomfort symptoms (headache, muscle pain, etc.)
Other factors affecting sleep
Wearable Device Data Integration
Supports receiving and analyzing sleep monitoring data from wearable devices:
Deep sleep, light sleep, REM sleep duration
Sleep score and sleep quality rating
Resting heart rate, heart rate variability (HRV)
Respiratory rate and other physiological indicators
Supports multiple device brands (Garmin, Apple Watch, etc.)
Psychological Assessment Tools
Integrates scientifically recognized sleep assessment scales to help users evaluate sleep conditions and health risks:
Insomnia Severity Index (ISI) - Assesses the severity of insomnia
Pittsburgh Sleep Quality Index (PSQI) - Comprehensively evaluates sleep quality over the past month
More clinically recognized sleep assessment tools are under development
Personalized Recommendation Engine
Generates scientific, personalized sleep improvement recommendations based on user data:
AI sleep coach provides real-time recommendations
Identifies potential problems based on sleep patterns
Personalized sleep improvement plans
Behavioral change support and progress tracking
3. Data Collection Standards
Slumber Copilot adopts a tiered data collection model to adapt to different user needs:
Basic Mode
Suitable for beginner users, includes essential sleep information:
Bedtime and wake time
Simple sleep quality rating
Brief description of daytime feelings
Standard Mode
Suitable for regular users, provides more detailed sleep information:
All basic data
Nighttime awakening records
Pre-sleep state and subjective assessment
Wearable device data (optional)
Advanced Mode
Suitable for in-depth users and healthcare professionals, includes complete sleep assessment:
All standard mode data
Clinical sleep assessment scales
Detailed sleep stage analysis
Long-term sleep trend reports
Health risk screening
4. Privacy and Security
The Slumber Copilot Sleep Protocol regards data privacy and security as the highest priority. All sleep data is protected according to the strictest privacy standards.
End-to-end encryption: All sleep data is encrypted using TLS 1.3+ during transmission
Secure storage: Sensitive sleep data is encrypted in the database
Privacy first: User sleep data belongs entirely to the user and is not used for commercial purposes
Data ownership: Users can export, backup, or delete all their sleep records at any time
Transparent policy: See Privacy Policy and Terms of Service for details
5. Data Analysis and Feedback
Slumber Copilot uses advanced data analysis technology to provide users with scientific sleep insights:
Sleep pattern recognition: Automatically identifies users' sleep patterns and cyclical changes
Trend analysis: Tracks long-term sleep quality changes and identifies improvement opportunities
Causal analysis: Analyzes causes of sleep quality changes based on pre-sleep states and external factors
Predictive recommendations: Provides preventive sleep improvement recommendations based on pattern recognition
Personalized reports: Generates weekly, monthly, and annual reports showing sleep improvement progress
6. Integration with Dream Analysis
The Slumber Copilot Sleep Protocol is deeply integrated with our AI dream analysis function:
Dream recording: Record your dream content and characteristics in your sleep diary
AI analysis: Provides dream analysis based on traditional dream interpretation and psychology
Correlation analysis: Identifies correlations between dreams and sleep quality, psychological state
Psychological insights: Provides additional mental health insights through dream analysis
7. Protocol Version and Support
The Slumber Copilot Sleep Protocol continues to evolve, constantly adding new features and improvements.
Version control: Protocol follows semantic versioning (Major.Minor.Patch)
Backward compatibility: New protocol versions guarantee compatibility with old version data
Documentation updates: Detailed migration guides provided when protocol is updated
Technical support: Users can contact us for protocol-related technical support
ℹ️ Current version: Slumber Copilot Sleep Protocol V1.0.0 (updated November 2025)