eMurmur ID

by CSD Labs GmbH  · Based in Austria →AI-powered & telehealth-enabled
Cardiology Family Medicine Pediatrics

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Regulatory Status Disclosed

Overview

eMurmur ID by CSD Labs GmbH is an artificial intelligence-powered software system designed to assist healthcare providers in the evaluation of patient heart sounds. Operating in conjunction with compatible third-party electronic stethoscopes, the platform serves as a clinical decision support tool to record, display, analyze, and store acoustic cardiac signals.

The system is designed for use by healthcare providers across multiple care settings, including primary care, specialty clinics, telehealth, and home health environments. It integrates into clinical workflows by capturing a short digital recording of heart sounds via a mobile application, which is then transmitted to a cloud-based server for analysis. The results are accessible through both the mobile app and a web portal, providing documented assessments to support clinical decision-making.

Notable capabilities of eMurmur ID include:

  • Automated detection and classification of pathologic and innocent heart murmurs, as well as the identification of S1 and S2 heart sounds.
  • Hardware-agnostic software architecture that integrates with multiple digital stethoscope brands and third-party telehealth platforms.
  • Support for both synchronous (real-time streaming) and asynchronous (store-and-forward) remote auscultation workflows.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • AI-based analytics for heart murmur detection and classification
  • Mobile app for recording and displaying heart sounds
  • Web portal for data management and review
  • Operates with 3rd party electronic stethoscopes (e.g., Littmann 3200, Thinklabs One)
  • Identifies pathologic and innocent heart murmurs, absence of murmur, S1, S2 heart sounds
  • Real-time feedback/analysis results within seconds
  • Patient data management
  • Clinical decision support
  • Integration with electronic health records (EHR)
  • Cloud-based storage
  • Data encryption, user authentication, audit trails
  • Remote monitoring/Telemedicine integration
  • Customizable PDF reporting

Use Cases

  • Heart murmur screening
  • Confirming clinical diagnoses
  • Primary and specialty care
  • Corporate health programs
  • Remote stethoscope exams during virtual visits
  • Pharmacy and community-based screenings, home-health applications

What Physicians Need to Know

ECG/EKG Analysis Capability
eMurmur ID primarily analyzes heart sounds (auscultation) to identify S1/S2 heart sounds and estimate heart rate. While it mentions 'Automated ECG analysis' as a feature, its core function is acoustic analysis, with heart rate estimation validated against simultaneous ECG signals. [2, 3, 4, 6, 9, 12, 13, 15, 16]
Arrhythmia Detection Accuracy
The tool identifies S1/S2 heart sounds and provides an accurate heart rate. While heart rate is a component of cardiac rhythm, the primary focus is on murmur detection, not comprehensive arrhythmia detection or classification. [2, 4, 5, 6, 9, 12, 13, 15, 16]
Cardiac Monitoring Integration
eMurmur ID is a mobile and cloud-based solution compatible with various third-party electronic stethoscopes. It supports both live streaming and recorded auscultation, enabling remote monitoring and telemedicine integration. [2, 3, 5, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]
AHA/ACC Guideline Alignment
While not explicitly stating direct alignment with specific AHA/ACC guidelines, eMurmur ID's goal of improving auscultation accuracy and reducing unnecessary referrals aligns with principles of efficient and effective cardiac screening. Studies on eMurmur have been presented at AHA Scientific Sessions. [5]
Real-Time Alert Capability
eMurmur ID provides real-time feedback to clinicians, identifying and classifying heart murmurs within seconds. It offers real-time heart murmur detection and customizable alerts as an optional module. [2, 3, 5, 12, 14, 17]
Physician Tip

eMurmur ID serves as a valuable decision support tool for healthcare providers, particularly in primary care, to enhance the accuracy of heart murmur detection and differentiate between innocent and pathological murmurs. It can significantly reduce inappropriate referrals for echocardiograms, saving time and resources. Physicians can utilize it for efficient screening, ongoing patient monitoring, and remote consultations through its telehealth capabilities. The platform provides objective documentation of auscultation findings, aiding in clinical record-keeping and facilitating expert review. It is also a useful educational tool for training in heart sound recognition. Remember that eMurmur ID is intended to support clinical judgment, not replace it, and its interpretations should be considered alongside other patient data. [2, 4, 5, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17]

eMurmur ID is designed for seamless integration into existing healthcare workflows. It operates as a mobile app and web portal solution, compatible with a wide range of third-party electronic stethoscopes, emphasizing a hardware-agnostic approach. The platform offers API access for integration with various third-party systems, including Electronic Health Records (EHR) like Epic, billing systems, Laboratory Information Systems (LIS), Radiology Information Systems (RIS), patient portals, telemedicine platforms, and health information exchanges (HIE). This extensive integration capability supports comprehensive patient data management and clinical decision support. [2, 3, 4, 5, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]

Details

Category Cardiology AI, Clinical Decision Support & Reference
Pricing Contact vendor Contact vendor for pricing information.
DeploymentMobile and cloud (SaaS), with options for on-premise and hybrid deployments.
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status 1 AI-estimated

eMurmur ID received FDA 510(k) clearance (K181988) on April 17, 2019, as a Class II decision support device. It is indicated for use in evaluating patient heart sounds, identifying S1, S2, physiological, and pathological heart murmurs, and the absence of a heart murmur, when used with a compatible electronic stethoscope.

Integrations
EHR Not specified
Specialties Cardiology, Family Medicine, Pediatrics

Ratings & Reviews

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Clinical Value
Ease of Use
Integration
Support & Docs
Value for Money

Press & Coverage

PR Newswire
eMurmur's Open Medical AI Receives FDA Clearance, Enabling Murmur Detection Across Digital Stethoscope Models and Third-Party Software
eMurmur announced in January 2026 that its Open Medical AI solution received FDA clearance, allowing for heart murmur detection across various digital stethoscope models and third-party software. The company specializes in medical AI for analyzing heart and lung sounds.
2026-01
PR Newswire
FDA grants clearance for a heart murmur detection solution on a personal mobile device
eMurmur announced on May 14, 2019, that its eMurmur ID solution received FDA clearance, marking a new era in heart murmur detection. This AI-based mobile and cloud solution works with third-party electronic stethoscopes to accurately identify and classify heart murmurs.
2019-05
PR Newswire
eMurmur receives CE mark certification for its heart murmur detection solution
eMurmur announced on June 12, 2019, that its eMurmur ID solution received CE mark certification, making it the only heart murmur detection solution cleared for both U.S. and European markets. The solution uses advanced machine learning to identify and classify heart murmurs with over 85% accuracy.
2019-06
Healio
AI-based system to detect murmurs receives FDA clearance
Healio reported on May 7, 2019, that eMurmur ID, an AI-based system for heart murmur detection, received FDA clearance. The system, comprising a third-party electronic stethoscope, mobile app, web portal, and AI analytics, can detect and classify various heart murmurs.
2019-05
Innovations of the World
eMurmur ID - AI powered heart murmur detection
Innovations of the World highlights eMurmur ID as an AI-powered heart murmur detection system that integrates into healthcare workflows. The solution, which is FDA cleared, HIPAA compliant, and CE marked, uses advanced machine learning to identify and classify heart murmurs with expert-level accuracy.
unknown
MDPI (Cancers Journal)
Application of Artificial Intelligence Technology in Oncology: Towards the Establishment of Precision Medicine
A November 2020 article mentions eMurmur ID (CSD Labs) as an FDA-approved AI-powered medical device. It is described as a software screening device that uses a smartphone, electronic stethoscope, and machine learning to automate heart murmur detection.
2020-11
PMC - NIH (Frontiers in Cardiovascular Medicine)
Artificial intelligence in cardiology: Hope for the future and power for the present
A review article from September 2022 lists eMurmur ID (CSD Labs GmbH) as an FDA 510(k) premarket notification-cleared device for the detection and identification of heart murmurs, with its clearance date noted as April 17, 2019.
2022-09
Heart
Is the FDA regulation of cardiology AI devices supporting cardiovascular innovation: a scoping review
A scoping review from September 2025 discusses FDA-approved AI/ML devices in cardiology, citing eMurmur ID (K181988) as a device that analyzes heart sounds to detect murmurs and functions as a screening tool.
2025-09

Videos

Product demos, reviews, and walkthroughs for eMurmur ID.

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Frequently Asked Questions

eMurmur ID is a mobile and cloud solution designed to work with third-party electronic stethoscopes, providing AI-based analysis of heart sounds. Its primary function is to serve as a decision support tool for healthcare providers, aiding in the detection and classification of heart murmurs during routine cardiac auscultation. This integration aims to enhance the accuracy of murmur identification and streamline the diagnostic process.
eMurmur ID has received FDA clearance, signifying its approval as a medical device in the United States. Furthermore, it is HIPAA compliant, ensuring the secure handling and privacy of patient health information. The solution also holds CE Mark certification, allowing its use in the European Union.
eMurmur ID is explicitly designed as a decision support device and is not intended to be used as a sole means of diagnosis. Its heart sound interpretations are meant to be considered in conjunction with a healthcare provider's clinical judgment and all other relevant patient data. The algorithm's performance can also be influenced by factors such as patient age, heart rate, murmur intensity, and the location of the recording.
Clinical studies have demonstrated that eMurmur ID possesses high sensitivity and specificity for detecting pathologic heart murmurs, with reported accuracy rates exceeding 85%. The system leverages advanced machine learning to identify and classify both pathologic and innocent murmurs with expert-level precision. This capability helps reduce the subjectivity often associated with traditional auscultation.
Specific pricing details for eMurmur ID are not publicly disclosed, and interested healthcare providers are generally advised to contact the vendor directly for a quote. However, eMurmur does offer a 30-day free trial, allowing clinicians to evaluate the system's functionality and benefits before making a commitment.
eMurmur ID is built to be HIPAA compliant, with its entire solution, including AI analytics, mobile app, and web portal, adhering to these strict privacy standards. The company also states its capability to de-identify and anonymize user content, which includes patient personal information, to further protect sensitive data. This commitment to data security is a core aspect of its design.
Yes, eMurmur ID is designed for seamless integration into a healthcare practitioner's existing workflow, supporting connections with major electronic health record (EHR) systems like Epic and Cerner. The platform is also hardware-agnostic, meaning it is compatible with a variety of third-party electronic stethoscopes, including popular models such as the Littmann 3200 and Thinklabs One. This flexibility allows for broad adoption across different clinical settings.

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Suggest an Edit → | Last Verified: 2026-04-18 | First Added: 2026-04-18
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