Non-Invasive Bioelectronic Analytics

Brief Summary

Biomarkers can be evaluated to provide information about disease presence or intensity and treatment efficacy. By recording these biomarkers through noninvasive clinical techniques, it is possible to gain information about the autonomic nervous system (ANS), which involuntarily regulates and adapts organ systems in the body. Machine learning and signal processing methods have made it possible to quantify the behavior of the ANS by statistically analyzing recorded signals. This work will aim to systematically measure ANS function by multiple modalities and use decoding algorithms to derive an index that reflects overall ANS function and/or balance in healthy able-bodied individuals. Additionally, this study will determine how transcutaneous auricular vagus nerve stimulation (taVNS), a noninvasive method of stimulating the vagus nerve without surgery, affects the ANS function. Data from this research will enable the possibility of detecting early and significant changes in ANS from "normal" homeostasis to diagnose disease onset and assess severity to improve treatment protocols.