Thank you! Use code HOLIDAY on your next order for all stethoscopes.

Oops! Something went wrong while submitting the form.

Clinical Research

Automated Detection of Low Ejection Fraction From a One-Lead Electrocardiogram: Application of an AI Algorithm to an ECG-Enabled Digital Stethoscope

Study uses AI algorithm applied to ECG-enabled digital stethoscope to detect low EF.

Articles

Automated Detection of Low Ejection Fraction From a One-Lead Electrocardiogram: Application of an AI Algorithm to an ECG-Enabled Digital Stethoscope

Point-of-Care Screening for Heart Failure With Reduced Ejection Fraction Using AI During ECG-Enabled Stethoscope Examination

January 5, 2022

Deep Learning Algorithm for Automated Cardiac Murmur Detection via a Digital Stethoscope Platform

The Power of Mobile Health: The Girl With the Gadgets in Uganda

Review of Telehealth Solutions for Outpatient Heart Failure Care in a Veterans Health Affairs Hospital in the COVID-19 Era

November 2, 2020

Handheld Wireless Digital Phonocardiography for Machine Learning-Based Detection of Mitral Regurgitation

November 18, 2019

Prospective Analysis of Utility of Signals from an ECG-enabled Stethoscope to Automatically Detect a Low Ejection Fraction Using Neural Network Techniques Trained from the Standard 12-lead ECG

The Digital Stethoscope: Two Senses Are Better Than One

Refining Auscultation of Left Ventricular Assist Devices: Insights From Phonocardiography

Real-World Evaluation of the Eko Electronic Teleauscultation System

January 1, 2019

Artificial Intelligence Detects Pediatric Heart Murmurs with Cardiologist-Level Accuracy

November 5, 2018

Use of Ventricular Assist Device Acoustical Signatures to Detect Device Thrombosis

Deep Unsupervised Representation Learning for Abnormal Heart Sound Classification

Sign up for a Demo

A member of our team will respond within one business day.