Zoll Medical Corporation

Naveed Zaidi

Gary A Freeman

Frederick J Geheb

Qing Tan

Methods and systems that analyze electrocardiogram (ECG) data to identify whether it would be beneficial for a caregiver to administer an electric shock to the heart in an effort to get the heart back into a normal pattern and a consistent, strong beat. By conducting a running check for conditions that are pre-validated by a comprehensive patient database to have high predictive value (e.g., with a low false-positive rate), a shockable rhythm can be identified fast (e.g., less than 6 seconds, less than 3 seconds, possibly in less than a second) and without having to analyze ECG data for longer time segments than would otherwise be required using conventional methods.

Fast identification of shockable or non-shockable rhythms in ECG data

In an example implementation, a system includes one or more memory devices configured to store computer readable instructions, and a treatment adjustment engine that includes one or more processing devices. The treatment adjustment engine is configured to obtain a first image of an eye of a subject, and a second image of the eye of the subject. The second image is captured in the presence of an electronic light source. The treatment adjustment engine is further configured to determine, based on the first and second images, one or more metrics representing shapes of the iris and pupil in the corresponding images, and determine, based on the one or more metrics, a pupillometry measure of the subject. The treatment adjustment engine is also configured to generate a signal for adjusting a cardiopulmonary therapy based on the determined pupillometry measure.

Growing community of inventors

Shrewsbury, MA, United States of America

Naveed Zaidi