SENSICARDIAC
DIACOUSTIC MEDICAL (PTY) • Cardiovascular • 07/27/2012
Device Purpose
The Sensi Cardiac Diagnostic Heart Murmur Software is a decision support device designed to acquire, record, and analyze acoustic heart signals via an electronic stethoscope, assisting medical examiners in differentiating normal from pathological heart murmurs. Through rigorous validation and comparative studies, the system has demonstrated equivalent performance, usability, safety, and effectiveness when compared to other market-available devices, reinforcing its role as a reliable tool for clinical auscultation.
Summary
Diacoustic Medical Devices (Pty) Ltd. has developed the Sensi Cardiac Diagnostic Heart Murmur Software, a decision support device intended to acquire, record, and analyze heart sounds. This system, also known as an electronic stethoscope or heart sounds analyzer, helps medical examiners differentiate between normal and pathological heart murmurs. It operates as a software package on a computer, capturing acoustic heart signals through a compatible electronic stethoscope. The system allows for recording, displaying, analyzing, saving, and playing back heart sounds, specifically identifying S1, S2, and suspected murmurs to assist in heart auscultation. Its interpretations are meant to support clinical assessment and should be used in conjunction with a physician's over-read and other relevant patient data.The Sensi Cardiac system's technical features were directly compared to other market-available devices, demonstrating equivalent computer platforms, electronic stethoscope accessories, and signal processing algorithms. Validation and verification testing, conducted in accordance with design control procedures, confirmed the system's performance and usability, with users consistently scoring its usability highly in clinical settings. Comparative studies showed the device achieved an overall accuracy comparable to its predecessors and similar systems. Based on these evaluations, including analysis of bench and user testing data, it was concluded that the Sensi device, comprising the software and compatible electronic stethoscopes, is as safe and effective as the comparable devices and introduces no new safety or effectiveness concerns.
AI Regulatory Concerns
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Keywords
Device Metadata
Relevant Clinical Questions
- Q1. How does the Sensi Cardiac software's specific signal processing algorithm differentiate subtle, clinically significant heart murmurs from benign ones, especially in complex cases with multiple heart sounds?; What is the sensitivity and specificity of the Sensi Cardiac system in detecting specific types of pathological heart murmurs (e.g., aortic stenosis, mitral regurgitation) across different patient populations and age groups?; Beyond accuracy, what are the long-term clinical outcomes or impacts on patient management when using the Sensi Cardiac device as a decision support tool compared to traditional auscultation alone?; Are there specific training requirements or potential biases in user interpretation that could affect the consistent high usability and diagnostic performance observed in clinical settings?; How does the integration of Sensi Cardiac data with other patient clinical data (e.g., ECG, echocardiogram findings) enhance diagnostic certainty and guide treatment decisions, and what are the interoperability capabilities?
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 SBOM, ML-BOM, SaaSBOM detected in AI-generated device summary.
• This device was authorized before §524B took effect. Cybersecurity evidence requirements were less prescriptive at the time.
• Postmarket cybersecurity monitoring plan not clearly documented in AI-generated device summary.
• Not detected in AI-generated device summary: HBOM, CBOM, VDR/VEX, OBOM. These may be present in the full FDA submission.
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