Belun Sleep System BLS-100
Belun Technology Company Limited • Anesthesiology • 02/23/2023
Device Purpose
The Belun Sleep System BLS-100 is a home-use wearable device designed to aid in the evaluation of moderate to severe sleep-related breathing disorders by continuously monitoring physiological parameters such as SpO2, pulse rate, and movement via a finger-worn ring. Its accompanying AI software analyzes this photoplethysmography and actigraphy data to generate an apnea-hypopnea index and identify sleep stages, offering a non-invasive alternative to traditional polysomnography for adult patients.
Summary
The Belun Sleep System BLS-100, by Belun Technology Company Limited, is a prescription-based wearable device for adult patients to conduct home sleep apnea tests, aiding healthcare professionals in evaluating moderate to severe sleep-related breathing disorders like Obstructive Sleep Apnea (OSA). The system features the Belun Ring (models BLR-100X for continuous up to 10-hour monitoring or BLR-100C for spot-checking), worn on the proximal phalanx of the index finger. This ring employs red and infrared LEDs for photoplethysmography (PPG) to measure arterial hemoglobin oxygen saturation (SpO2) and pulse rate, while an integrated accelerometer tracks movement (actigraphy) and records beat-to-beat pulse period. Data collection, which occurs during both motion and no-motion conditions, is stored on the ring (e.g., BLR-100X holds up to 10 hours) and can be exported via USB or Bluetooth to the stand-alone Belun Sleep AI software on a personal computer; the device does not feature alarms. The Belun Sleep AI software utilizes machine learning algorithms to analyze the collected physiological data, generating an apnea-hypopnea index (bAHI) and identifying sleep stages (bSTAGES: wake, NREM, and REM). The system's efficacy was evaluated in a clinical study with 106 patients, comparing its AHI and sleep staging capabilities against polysomnography (PSG), which yielded an AHI accuracy of 0.877 at a 15 events/hour cutoff and 0.925 at a 30 events/hour cutoff, alongside reported accuracies for sleep stage categorization. The Belun Sleep System BLS-100 has undergone extensive non-clinical testing, confirming compliance with numerous international standards for safety (IEC 60601 series), performance (ISO 80601-2-61), biocompatibility (ISO 10993 series for skin-contacting materials), and usability for hospital and home environments, with cleaning performed using 70% isopropyl alcohol.
AI Regulatory Concerns
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Keywords
Device Metadata
Relevant Clinical Questions
- Q1. How does the Belun Sleep AI algorithm differentiate between central and obstructive apnea events, or does it primarily focus on the overall AHI?; What are the specific sensitivity and specificity values for detecting REM and NREM sleep stages compared to PSG, beyond general accuracy statements?; How does the device's performance vary across different patient populations (e.g., varying skin tones, peripheral vascular disease, or high BMI) that might affect PPG signal quality?; What is the typical battery life of the Belun Ring during continuous 10-hour recording, and how does it degrade over the device's lifespan?; Given the stand-alone software, what are the cybersecurity measures implemented beyond data encryption during export to protect patient data stored on the local PC?
Risk Classification
ESL AnalysisFDA Class II via 510(k) pathway; IEC 62304 Class C (software safety classification); Authorized before §524B enforcement
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Powered by SBOMator™Based on AI-generated device summaries, not the full FDA submission. Items not detected here may still be present in the complete submission package.
Supply Chain BOM Evidence
Based on the CycloneDX / OWASP ECMA-424 xBOM ecosystem. Detection is from the AI-generated summary.
Analysis:
• Analysis is based on the AI-generated device summary, not the full FDA submission package. Click "Analyze Full FDA PDF" below to scan the actual submission document.
• Evidence of ML-BOM, SaaSBOM, HBOM, CBOM, OBOM detected in AI-generated device summary.
• This device was authorized before §524B took effect. Cybersecurity evidence requirements were less prescriptive at the time.
• Not detected in AI-generated device summary: SBOM, VDR/VEX. These may be present in the full FDA submission.
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