Stethee Pro 1, Stethee Pro Software System
M3DICINE Pty Ltd. • Cardiovascular • 10/09/2020
Device Purpose
The Stethee Pro 1 System is an advanced electronic stethoscope designed for comprehensive auscultation, utilizing digital signal processing and Bluetooth connectivity for sound capture and transmission. Its accompanying software system leverages cloud-based architecture and machine learning algorithms to provide enhanced diagnostic capabilities, including sound visualization, heart rate and respiration rate analysis, and collaborative data management for healthcare professionals.
Summary
The Stethee Pro 1 System is an electronic auscultation device intended for medical screening and diagnostic applications. It functions by capturing internal body sounds, such as those from the heart, lungs, and vasculature, using a microphone sensor and offers amplification with selectable frequency filters. The device employs digital signal processing for sound refinement and features user interface elements like volume control, haptic feedback, and an LED display. Audio output is available in real-time through either Bluetooth-connected headphones or newly added wired headphones via a USB port adapter. The Stethee Pro 1 hardware itself does not retain patient data but wirelessly streams an audio buffer to an associated smart device for further processing. The core analytical and data management capabilities are provided by the Stethee Pro Software System (SPS), encompassing mobile and web-based applications supported by M3DICINE Cloud Services. The SPS facilitates the recording, playback, and advanced visualization of captured sounds as phonocardiograms and, newly, spectrograms. It incorporates machine learning algorithms to analyze these sounds for determining heart rate (within a 30-200 BPM range), new features like heart cycle (systole/diastole) duration, and respiration rate (clinically validated for 6-50 breaths/min). Additional functionalities introduced include geolocation tagging of samples, comparative analysis of patient data over time, secure data sharing capabilities among authorized healthcare professionals, and automated report generation. The system's performance, particularly the accuracy of its analytical algorithms, was substantiated through bench testing, comprehensive software validation, and clinical validation studies against established medical reference devices.
AI Regulatory Concerns
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Keywords
Device Metadata
Relevant Clinical Questions
- Q1. What specific machine learning algorithms are utilized for the heart rate, heart cycle duration, and respiration rate analyses, and what were their detailed performance metrics (e.g., sensitivity, specificity, AUC) in the clinical validation studies beyond the stated accuracy ranges?; How does the Stethee Pro 1's ambient and frictional noise reduction technology perform quantitatively in comparison to other leading electronic stethoscopes, particularly within acoustically challenging clinical environments?; What are the specific data security and privacy protocols implemented within the M3DICINE Cloud Services and the Stethee Pro Software System, particularly concerning patient data encryption, transmission, storage, and access controls for shared information?; Is it possible to export the raw audio data captured by the Stethee Pro 1 for independent research or secondary analysis, and if so, in what file formats is this data made available?; What is the demonstrated clinical utility or diagnostic advantage of the 'Aida Cycle' visualization for heart cycle duration when compared to traditional linear phonocardiogram or spectrogram representations alone?
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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