The Eko Murmur Analysis Software (EMAS) is a cloud-based AI-driven tool that analyzes heart sound and ECG data to detect and classify heart murmurs, distinguishing between innocent and structural murmurs. It supports clinicians by offering decision support in evaluating heart sounds, enhancing the diagnostic process for pediatric and adult patients without replacing clinical judgment.
The Atrial Fibrillation History Feature is a software application designed to analyze pulse rate data from Apple Watch sensors to detect episodes of irregular heart rhythm indicative of atrial fibrillation (AFib). It provides users with estimates of the amount of time spent in AFib over past periods and visualizes this alongside lifestyle data to help users understand the impact of their behavior on their condition. It assists patients in monitoring AFib burden over time but is not meant to replace traditional diagnosis or treatment methods.
Oxehealth Vital Signs is a software medical device that uses video footage from fixed-installation cameras to noninvasively measure pulse rate and estimated breathing rate through analysis of chest wall movements. It is designed for use in single occupancy rooms within hospitals and secured environments where healthcare professionals periodically monitor patients. This technology enables spot checks of vital signs without physical contact, supporting clinical monitoring while minimizing patient disturbance and infection risk.
The AHI System is a software tool that helps healthcare professionals monitor adult patients' cardiovascular status by analyzing ECG signals to detect signs of current hemodynamic instability and predict future episodes. It provides continuous updates and color-coded alerts for clinicians to increase vigilance and improve patient care.
IM007 by Implicity, Inc. is an AI-powered software that analyzes ECG data from Insertable Cardiac Monitors to help healthcare professionals detect various cardiac arrhythmias, such as atrial fibrillation and ventricular tachycardia. It works by processing ECG signals remotely uploaded from compatible devices and provides analysis results to clinicians to support diagnosis and patient monitoring.
The Irregular Rhythm Notification Feature 2.0 (IRNF 2.0) is a software application used on Apple Watch and iPhone that analyzes pulse rate data using machine learning to detect irregular heart rhythms, such as atrial fibrillation (AFib). It notifies users of possible AFib episodes to help prompt medical consultation, supporting non-invasive heart rhythm monitoring through wearable technology.
Oxehealth Vital Signs is a software device that uses optical cameras to noninvasively measure pulse rate and estimated breathing rate from video footage of patients. It facilitates vital sign monitoring in single-occupancy hospital rooms and care environments without physical contact, helping clinicians monitor patients effectively, especially those who do not require critical or continuous monitoring.
The Zio ECG Utilization Software (ZEUS) System is a software platform that processes and analyzes long-term continuous ECG data collected from compatible cardiac monitoring devices. It helps clinicians by automatically detecting and reporting cardiac arrhythmias and other relevant heart rhythm information, assisting in the diagnosis and management of cardiac conditions.
Oxehealth Vital Signs is a software device that analyzes video images captured by standard cameras to noninvasively measure a patient's pulse rate and estimated breathing rate. It uses proprietary algorithms to monitor skin pixel intensity changes and chest wall movements, allowing healthcare staff to perform vital sign spot checks without disturbing the patient. This is especially useful in hospital or secured environments where minimizing patient contact is advantageous.
The Stethee Pro 1 is an electronic stethoscope designed for medical screening and diagnostic use. It detects and amplifies sounds from the heart, lungs, and other internal organs, and works with the Stethee Pro Software System to record, visualize, analyze, and share these sounds. This helps clinicians better assess patient heart and lung conditions through enhanced audio and data analysis tools.
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