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The Basic Normative HRV (Heart Rate Variability) Report utilizes the age-and-sex-matched normative database to see how a patient’s heart compares to their peers. This report utilizes many of the same measures from the individual HRV Report, but then compares those values to the norm. Learn More
The Advanced Normative HRV Report includes all the same information from the basic Normative HRV Report, as well as an AI prediction of stress stage, anxiety, and depression. Learn More
Alive Home for IOM sensor or emWave Desktop hardware - gives you extensive coaching tools, individualized performance tracking, and an array of software tools engineered to help you build mental and physical performance while having fun. Up to 7 user profiles. Learn More
Start your engines and stay on course with Dual Drive Pro, revolutionary auto race game powered by your balanced heart-rhythms and inner alignment (coherence). As you race across Aztec Swamp, Lost Desert and other courses, you'll learn to concentrate "on task" while maintaining and building physiological and emotional balance in challenging situations. These skills carry over into real-life situations at work, school or at home. Learn More
WinEEG Advanced software allows for the recording, editing and analysis of continuously recorded EEG using a Mitsar amplifier. WinEEG advanced version allows the user all of the functions of the basic version and additionally the ability to import non-Mitsar format files, record Evented Related Potential data (with the use of PsyTask), and to perform database comparisons (with the addition of the HBI database). Learn More
Child and Adult Reference Database for spectral analysis, event related potentials (ERPs). Includes 100 comparisons. The normative data base includes 3 minute fragments of EEG recorded in eye open, eyes closed conditions and in four different tasks (two stimulus GO/NOG task, Math, Reading and Acoustic tasks). The results of comparison are presented as maps of deviations from normality. From 6 to 60 years old Learn More
The aMCI (amnestic mild cognitive impairment) screening utilizes an AI trained on EEG data of patients diagnosed with aMCI to make a prediction of aMCI likelihood. The data used in training included patients from 50 years old to eighty-five, and therefore is only accurate for patients in that age range. Learn More