David H. Fater, CEO of Vicor Technologies, Inc. (OTCBB: VCRT), today announced that Andriy Batchinsky, MD, a researcher with the U.S. Army Institute of Surgical Research (USAISR), identified Vicor's proprietary PD2i® nonlinear algorithm and software as the most promising diagnostic for in-field trauma triage during a presentation before several hundred attendees at the American Heart Association's Resuscitation Science Symposium 2009 on November 14, 2009 in Orlando, Florida. Vicor Technologies is a biotechnology company focused on the commercialization of innovative, non-invasive medical devices and diagnostics using its patented, proprietary PD2i® nonlinear algorithm and software to stratify patients at risk of sudden cardiac death and trauma victims in need of lifesaving intervention.
Dr. Batchinsky's presentation -- "Does Heart-Rate Complexity Analysis Work in the Real World? Changes in the Point Correlation Dimension of Heart Rate During Prehospital Lifesaving Interventions" -- provided a review of trauma triage diagnostics, including Vicor's PD2i® nonlinear algorithm and software, currently being evaluated by the USAISR. The American Heart Association's Resuscitation Science Symposium (ReSS) is an international forum for fundamental, translational, clinical, and population scientists and care providers to discuss recent advances related to treating cardiopulmonary arrest and life-threatening traumatic injury.
According to Dr. Batchinsky, current methods have proven inadequate in improving trauma triage on the battlefield; newer methods employing enhanced mathematical analysis of heart rate complexity (HRC) from EKG data are more promising in pristine, clinical settings, but have not proven reliable in real-world situations with only small amounts of "noisy" or "raw" data, and that the only diagnostic to provide consistently accurate results is Vicor's PD2i® nonlinear algorithm and software, which requires just one to two minutes of EKG data, and is not derailed in delivering actionable results by "noisy" or "raw" data.