About Us

Dedicated To Accurate Diagnosis

At Nystag we work upon the fundamental principle that patients should receive timely and accurate diagnosis when they enter the emergency room. As a team we have developed Nystag One, a portable diagnostic system able to execute a HINTS exam with the help from an untrained medical practitioner. We believe Nystag One will reduce wait times and improve outcomes in patients diagnosed with central nervous system damage or interruption.

Detailed image of a motherboard highlighting a RTL8100BL microchip.
engineer, engineering, broadcast

1st

wearable to administer the HINTS exam without training requirements

Nystag One’s Status

Prototype For Trial ​

Nystag One is currently a prototype, capable of all functionalities required to administer the Hints Exam. It also has all these functionalities to ensure ease of use in the emergency room.

Diagnosis in 7 minutes​
Walk through instructions verbally relaid to patients and practitioners​
All in one system – no external computer needed
Wireless charging
Less than 800 g​

If you are interested in helping our team get this prototype to market, please contact us.

Contact us

Team

Javier Romero, M.D.

Founder
Dr. Javier Romero is a staff radiologist in the Division of Neuroradiology, director of vascular ultrasound services in the Department of Radiology and director of the R.H. Ackerman Neurovascular Lab. He is also the 2015 recipient of the Excellence in Education in Radiology Award from the Harvard Medical School. A recent recipient of the Fellow of the American College of Radiology award.

Jaime Romero

Founder
Jaime Romero is a software engineer in the autonomous vehicles group at General Motors and a recent graduate of Carnegie Mellon University with a degree in Mechanical engineering and Robotics. He will soon be attending the University of Pennsylvania for Robotics. Jaime has brought many parts and assemblies from design all the way to multinational production for General motors. Currently, he is creating data pipelines and building infrastructure to automatically label data.