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SAN FRANCISCO, CA, July 04, 2014 /24-7PressRelease/ -- AFYA MEDICAL SYSTEMS LTD will be deploying their third beta run of their advanced wireless remote physiological monitoring tool this weekend. Their elite cross-country mountain bike team will be participating in the event. The 12 elite riders from around the world will be heading to Star Lake in South Lake Tahoe over the weekend and each rider will be connected to the AFYA wireless monitoring System. Minute-by-minute physiological data will be sent back to the AFYA Health Portal for immediate analysis. The AFYA Portal will allow customers to immediately view all of the important physiological variables (VE, PC02, PO2, PH, HR, BP, Lactate Threshold, Predicted and Current VO2, Core Temperature, Altitude, Barometric pressure, Elevation Change, Percent Grade, Speed, Ambient Temperature) that are vital to human performance.
"We are excited about the third launch of our unique wireless monitoring system as it be the stepping stone to our eventual commercial release. We believe this system will have a wide range of uses in the medical, health, military, and education markets," stated David Patterson, Project Manager for the AFYA RMS Team.
To learn more about this event and webinar call the main offices at 1 (877) 887 4822. Current customers can login to the AFYA customer portal using their assigned customer ID. The event will run from July 03, 2014 - July 05, 2014.
AFYA MEDICAL SYSTEMS, LTD is a global healthcare management consulting firm and medical technology products Manufacturing and Distribution Company with distinctive divisions, designed to enhance and to accelerate the financial and clinical performance of healthcare organizations, physician group practices, individuals, families and independent emerging technology healthcare companies. Our Elite Physiological Testing and Service Division is a special unit within AFYA that is elusively tasked with developing advanced systems that will augment and improve the physiological performance of both animals and humans by using technological advances from both biomedical sciences and from the computational sciences.
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