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Objective: Study was conducted to determine the ability of the EBG System to detect presence or absence of Metabolic Syndrome as diagnosed and determined by the NCEP/APTIII criteria.
Design: Prospective, single center, non-randomized feasibility study trial of 193 patients who met eligibility criteria. Men and women aged 21-85 who were free of or not on any treatment for cancer, renal failure, autoimmune disorders, and MS were enrolled.
Results: Demonstrated safety and effectiveness. The EBG System had a statistically significant correlation with Metabolic Syndrome as demonstrated by medical diagnosis (AUC=.97).
In the study at Greater Baltimore Medical Center - with 195 subjects , and 64 controls, the EBG system was able to detect the presence or absence of cardiovascular disease.
Foundational Study: Greater Baltimore Medical Center – Prognostic Indicators as Provided by theEBGSystem
Objective: To determine whether the images captured by the EBG device, when analyzed via the EBG software, produce a Response Scale that characterizes associations consistent with known diagnoses identified by medical doctors within five systems or organs: cardiovascular system, gastrointestinal/endocrine system, respiratory system, kidneys (renal), liver (hepatic).
Results: Demonstrated safety and effectiveness. The EBG system had a statistically significant correlation with each disease state in the organ systems as demonstrated by medical diagnosis.
Which Systems & Subsystems can the EBG assess:
Sensory & Skeletal Systems•Sensory:
Gastrointestinal & Neuro - Endocrine Systems
Hepatic Portal & Immune Systems
Renal & Reproductive Systems
HAWK has diverse functionality based on the principles of electrophysiological communication throughout the body.
Able to detect abnormality of specific cardiometabolic and inflammation biomarkers.
In the study at Greater Baltimore Medical Center - with 85 subjects, and 64 controls, the EBG system was able to detect the presence or absence of diabetes.
The EBG Scan captures and quantifies electrophysiological signals, which have a high degree of correlation with functional body systems.
Objective: Demonstrate the ability of the EBG System to detect the absence or presence of traumatic brain injury as diagnosed through the Glascow Coma Scale; specific sections of SCAT3, LOC, AOC, and imaging.
Design: All subjects who met study criteria and presented to the ED with mild, moderate or severe TBI were enrolled in the study. Subjects aged 18-65 who presented with acute head trauma within 0-72 hours of presentation who were free of neurological, severe psychological disorders, history of substance or alcohol abuse, current diagnosis or undergoing treatment for cancer, radiation, and head injury within last two years were enrolled and were classified as the TBI population.
Results: A total of 53 subjects were enrolled at University of Iowa. 21 subjects were enrolled and diagnosed with mild TBIs, 32 controls. Of the 21 subjects, only 6 had an abnormal CT scan. Preliminary results indicate that the BPI system has the ability to detect the presence and absence of TBI even when imaging results illustrate normality (AUC=.98).