21st Century Heart Auscultation

About eMurmur

FOUNDED IN 2014 BY PHYSICIST & BIOMEDICAL ENGINEER DR. ANDREAS SCHRIEFL AND COMPUTER SCIENTIST & BIOMEDICAL ENGINEER ANDREAS REINISCH, EMURMUR DEVELOPS HIGH-END MEDICAL TECHNOLOGY APPLICATIONS BY COMBINING MACHINE INTELLIGENCE WITH STATE OF THE ART COMPUTATIONAL ENGINEERING APPROACHES AND IN-HOUSE PIONEERING RESEARCH & DEVELOPMENT.

A great team for success

People and Partners

Take a look at our leaders, key advisors and funding partners.

Leadership

 

Founder and CEO

Andreas Schriefl

 

Co-founder and CTO

Andreas Reinisch

 

CFO

Patrick Walsh

 

VP Business Development

Michael Farrell

Advisors

 

Medical Advisor

Andrew Redington, MD

Executive Co-Director, Heart Institute
Chief, Pediatric Cardiology, Cincinnati Children’s Hospital
Professor, UC Dept of Pediatrics

 

Medical Advisor

Derek Exner, MD

Professor, Department of Cardiac Sciences and Community Health Sciences, University of Calgary
Associate Dean, Clinical Trials, Cumming School of Medicine
Canada Research Chair, Cardiovascular Clinical Trials

 

Medical Advisor

Lillian Lai, MD

Cardiologist, CHEO Hospital
Assistant Professor, University of Ottawa

 

Technology Advisor

Pat Beirne

Expert in Systems Engineering
Former VP Engineering at COREL
Authority in the design & production of software

 

Partners

partner_logos

Buzz surrounding eMurmur

Publications and Press

Our scientific output and promotional materials

PR Room

 

2017/11/14

Circulation 2017

Introduction: Automated software applications that analyze digital heart sound recordings, phonocardiograms (PCGs) could be used to improve the screening accuracy for valvular and congenital heart disease.
Hypothesis: The new software detection program... Read more
Introduction: Automated software applications that analyze digital heart sound recordings, phonocardiograms (PCGs) could be used to improve the screening accuracy for valvular and congenital heart disease.
Hypothesis: The new software detection program... Read more

 

2017/02/13

CSD Labs appoints Andrew Redington, MD

Computational Signal Detection (CSD) Laboratories LLC announced today that it has appointed Andrew Redington, MD, an internationally renowned cardiologist, as a medical adviser to the company. Computational Signal Detection (CSD) Laboratories LLC announced today that it has appointed Andrew Redington, MD, an internationally renowned cardiologist, as a medical adviser to the company.

 

2017/11/14

AHA Abstract 2017

Introduction: Signal processing algorithms designed to detect and analyze heart murmurs could dramatically improve screening for valvular and congenital heart disease (CHD), however development has been hampered by lack of objective validation strategies. Read moreIntroduction: Signal processing algorithms designed to detect and analyze heart murmurs could dramatically improve screening for valvular and congenital heart disease (CHD), however development has been hampered by lack of objective validation strategies. Read more

 

2016/09/23

Computerized Automatic Diagnosis of Innocent and Pathologic Murmurs in Pediatrics: A Pilot Study.

Objective:Computer-aided auscultation in the differentiation of pathologic (AHA class I) from no or innocent murmurs (AHA class III) would be of great value to the general practitioner. This would allow objective screening for structural heart disease, standardized documentation of auscultation findings, and may avoid unnecessary referrals to pediatric cardiologists. Read moreObjective:Computer-aided auscultation in the differentiation of pathologic (AHA class I) from no or innocent murmurs (AHA class III) would be of great value to the general practitioner. This would allow objective screening for structural heart disease, standardized documentation of auscultation findings, and may avoid unnecessary referrals to pediatric cardiologists. Read more

 

2017/07/16

IAC Abstract 2017

Objective: Evaluate clinical performance of a new heart murmur detection algorithm on an elderly population through a blinded trial.
Background: Algorithms that autonomously detect heart murmurs have the potential to improve auscultation accuracy, but ... Read more
Objective: Evaluate clinical performance of a new heart murmur detection algorithm on an elderly population through a blinded trial.
Background: Algorithms that autonomously detect heart murmurs have the potential to improve auscultation accuracy, but ... Read more

 

2015/05/07

Winner of international MedTech award

CSD Labs wins the special MedTech award at the seventh international business plan competition "Best of Biotech". The competition awards excellence in the areas of life science and medical technology, is organised by Austria Wirtschaftsservice GmbH (aws) and commissioned by the Federal Ministry of Science, Research and Economy. In total, 30 projects with economic potential from six countries were selected by an international jury comprised of experts from the fields of industry, finance and economics. In the end, CSD Labs was awarded the prestigious prize worth EUR 10,000. CSD Labs wins the special MedTech award at the seventh international business plan competition "Best of Biotech". The competition awards excellence in the areas of life science and medical technology, is organised by Austria Wirtschaftsservice GmbH (aws) and commissioned by the Federal Ministry of Science, Research and Economy. In total, 30 projects with economic potential from six countries were selected by an international jury comprised of experts from the fields of industry, finance and economics. In the end, CSD Labs was awarded the prestigious prize worth EUR 10,000.