COOKIES LAW

Our site uses cookies to help us offer visitors a better browsing experience, to count the number of visitors and note how they navigate the site. The data are aggregated, not individual. Cookies contain information that is transferred to the hard disk of the user, but this is NOT information that allow us to identify you, your privacy is guaranteed! At any time you can disable cookies using the Options / Settings of your browser.

Chiudi
 
News

In this section we present the most important news and up-to-date information, which might be deepened in specific website sections.


WatchPAT, THE ITAMAR SOLUTION.


 

Itamar Medical is one of the first companies in the world to embrace the idea of a link between heart disease and sleep apnea.

Today it is the only company in the world that offers a platform to track, treat and manage apnea patients.

Cardiologists from around the world are adopting the system developed by Itamar Medical to diagnose and treat a common but potentially deadly pathology.

 

The research, which began about a decade ago, has offered an amount of data showing that not only is sleep apnea  associated to heart attacks, but it is actually a cause.

 

Sleep apnea causes a person’s breathing to be interrupted during sleep, leaving a person momentarily choking and gasping for air.

The most common type of sleep apnea is obstructive sleep apnea, or OSA. People with OSA snore and repeatedly experience brief interruptions of breathing (apnea) during sleep.

This may occur hundreds of times during sleep, which deprives the brain and other vital organs of life-sustaining oxygen.

 

Itamar developed a portable diagnostic device that uses the most innovative technology to ensure the accurate screening, detection, and follow-up treatment of Obstructive Sleep Apnea (OSA).

 

The PAT® signal (measured from the fingertip by recording finger arterial pulsatile volume changes) is a proprietary technology used for measuring arterial tone changes in peripheral arterial beds.

It is automatically analyzed utilizing a clinically validated algorithm along with heart rate, and oxygen saturation to identify respiratory events. Using specific signal patterns, the algorithm provides two indices used in determining the degree of sleep apnea – Apnea-Hypopnea Index (AHI) and Respiratory Disturbance Index (RDI).

The complete report of the study is generated within minutes after downloading the study data allowing

patients to initiate treatment without delay.