SLEEP SYSTEM FOR CLINICS & RESEARCH
COMPUMEDICS PTD LTD. • Anesthesiology • 03/11/1997
Device Purpose
The Compumedics PTD LTD. SLEEP SYSTEM FOR CLINICS & RESEARCH is a specialized ventilatory effort recorder designed to capture and analyze critical physiological data for the comprehensive assessment of sleep patterns and the diagnosis of sleep disorders. By meticulously monitoring respiratory effort alongside other parameters, the system provides clinicians and researchers with robust tools to enhance diagnostic accuracy in sleep laboratories and advance the scientific understanding of sleep medicine.
Summary
The SLEEP SYSTEM FOR CLINICS & RESEARCH, developed by Compumedics PTD LTD., serves as an advanced ventilatory effort recorder crucial for comprehensive sleep studies. Its primary function is to meticulously capture, display, organize, and summarize a range of physiological data, with a particular emphasis on respiratory effort. This capability allows clinicians and researchers to effectively diagnose and investigate sleep disorders by assessing detailed sleep patterns and identifying potential physiological abnormalities that may otherwise go unnoticed, contributing to a deeper understanding of individual sleep health. Compumedics' sleep monitoring solutions, exemplified by this system, are widely employed across both clinical diagnostic settings and dedicated research environments, offering sophisticated data analysis tools. These tools are instrumental in facilitating a more profound understanding of various sleep-related conditions and their underlying mechanisms. The seamless integration of such systems into sleep laboratories significantly enhances the capacity to conduct detailed, multi-parametric assessments, ultimately striving for improved patient outcomes in clinical practice and fostering innovation in the broader field of sleep medicine research.
AI Regulatory Concerns
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Keywords
Device Metadata
Relevant Clinical Questions
- Q1. What specific types of ventilatory effort sensors does the Compumedics Sleep System utilize, and how do their accuracy and reliability compare to other established methods in sleep studies?; How does the system's software differentiate between central, obstructive, and mixed apneas/hypopneas based on the recorded ventilatory effort and other physiological parameters?; Are there specific patient populations or types of sleep disorders for which this ventilatory effort recording system offers superior diagnostic utility or insights compared to systems relying primarily on airflow or oximetry?; What validation studies have been conducted to demonstrate the system's efficacy in both clinical diagnostic settings and diverse research applications, particularly concerning long-term monitoring or novel sleep disorder phenotypes?; How does the 'SLEEP SYSTEM FOR CLINICS & RESEARCH' integrate with other standard polysomnography (PSG) components, and what are its capabilities for customized data export and analysis for advanced research purposes?
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 HBOM, 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, ML-BOM, SaaSBOM, CBOM, VDR/VEX. These may be present in the full FDA submission.
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