AsleepTrack API
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About
AsleepTrack API provides sleep measurement and analysis modules using a highly accurate sleep AI model. It offers two pricing tiers: a basic 2-stage analysis (Wake/Sleep) for simpler applications and a more comprehensive 4-stage analysis (Wake/REM/Light/Deep) for advanced sleep tracking and analysis. Additional add-ons are available for real-time monitoring, breathing stability analysis, and snoring detection. Asleep's AI is trained on a large dataset of hospital and home sleep data, and its accuracy was shown to be superior to other sleep trackers in a benchmark study.
Platform
Task
Features
• breathing stability monitoring (add-on), snoring monitoring (add-on)
• real-time sleep analysis (add-on)
• number and length of awakenings
• sleep efficiency calculation
• sleep latency analysis
• wake-up detection
• sleep duration calculation
• sleep stage analysis (2 or 4 stages)
FAQs
How accurate is the analysis using only sound, without wearables?
Sleep sounds contain more information about sleep than biosignals measurable by smartwatches. Monitoring breathing reveals the autonomic nervous system's activity, which varies with sleep stages. Body movement during sleep is also detectable. Asleep's AI analyzes this data for accurate sleep tracking.
Does accuracy vary by gender, age, height, BMI, or health status?
Asleep's AI is trained to work accurately regardless of gender, age, height, BMI, or health status. It was trained with data from 7,000 hospital sleep studies and 700,000 home environments, with ongoing learning from user data.
Does device placement affect accuracy?
Sound volume decreases with distance; accuracy may drop beyond 2m. It's usable up to 4m with minor performance reduction. Optimal performance requires facing the device's microphone directly and avoiding obstructions.
Does it work in noisy home environments?
Asleep's AI functions well in typical noisy home environments. A 2023 study showed that it maintains high accuracy even with household appliances (air conditioners, fans, refrigerators). Accuracy was comparable to hospital sleep studies.
Are data security and privacy issues addressed?
Data security is maintained using AWS and Asleep's internal security systems. Sensitive data is processed on the user's smartphone, not the server; only sleep-related information is transmitted.
Does it support multi-person measurement?
Multi-person measurement is in beta; accuracy may be reduced compared to single-person measurement. Asleep is testing an algorithm for handling this situation.
Pricing Plans
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