Heart Rhythm Data Exposes Alarming Physiological Mutations Among Covid-Vaxxed

• Heart Rhythm Data Exposes Alarming Physiological Mutations Among Covid-Vaxxed
  by Frank Bergman Slay News , via https://www.globalresearch.ca/
  The scientific community has been left stunned after a group of leading scientists presented evidence showing alarming physiological mutations among people who received Covid mRNA “vaccines.”
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  The explosive findings of the new study were presented to scientists at the 2025 American Physiology Summit. The breakthrough research was led by Dr. Sarwat Amin and colleagues from Purdue in collaboration with physIQ Inc. Dr. Amin and her team uncovered early evidence that Covid mRNA “vaccines” produce distinct patterns of nervous system and inflammatory response.
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  The chilling mutations were revealed in data from wearable sensors tracking heart rate variability (HRV). The research has exposed measurable changes in activity in the autonomic nervous system, which regulates heart rate, digestion, and inflammation. The scientists believe these changes could be responsible for physiological injuries that lead to sudden cardiac arrests and other severe adverse events.
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  The findings of the study have been published in the American Physiological Society journal. Using chest-worn wireless devices (VitalPatch RTM), researchers tracked heart rate variability (HRV), skin temperature, and activity levels in two small participant subsets (10 and 20 people each). The participants were monitored after their second dose of a Covid mRNA “vaccine.”
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  They grouped participants based on their skin temperature response and whether they experienced systemic side effects like fever, chills, or fatigue. By mapping three-dimensional HRV changes (including high, low, and very-low frequency components) over 72 hours, they generated a tool they call 3D HRV cartography. The tool creates a dynamic physiological fingerprint of post-Covid “vaccine” response. Those who experienced “vaccine” side effects showed distinct HRV patterns compared to those who didn’t. The findings suggest that immune reactions can be objectively tracked via the autonomic nervous system.
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  The algorithm achieved up to 80% accuracy in distinguishing “vaccine” responders from non-responders using unsupervised machine learning. Crucially, the HRV changes were negatively associated with inflammation. This data reinforces that sympathetic-parasympathetic imbalance may be part of the inflammatory cascade post-vaccination. 
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