Signal Processing and why it is important
Last week, I had the pleasure of working with the GA Tech faculty who specialize in signal processing. My journey with EMF disturbance monitoring actually got its start in 2008/2009 at the Department of Biomedical Engineering at GA Tech. It was there that I completed the first successful Proof-of-Concept for our technology in a sports medicine application. It felt like a homecoming of sorts. This time, I was across I-85 from the campus at the Technology Square Research Building in Midtown Atlanta.
Signal Processing is an area of research that falls between engineering and mathematics. When a machine sends a signal of any type, it is important to correctly interpret the signal and to maximize the information that you obtain from that signal. Scientists study the composition of the signal itself, and the environment from which the signal originates. Signal processing involves filtering the noise from the signal to give the most accurate information from the source.
EMF disturbance technology uses specialized electromagnetic field sensors which are manufactured in the USA. The sensors do not require a power source like a battery. Rather, the sensors absorb electromagnetic energy from a source and convert that energy into a voltage differential. The voltage differential is measured by a voltmeter and that measurement is fed into a computer for logging.
Reviewers from the NIH recommended that we consult a signal processing expert to validate our technology, since our medical device uses a novel method for estimating the electromagnetic energy emissions from the heart and brain. Maximizing the information from the sensors is key to accurately diagnosing diseases caused by decreased energy emission such as congestive heart failure (CHF) and traumatic brain injury (TBI).
On March 7, 2025 I set up our equipment at the GA Tech laboratory and ran human experiments. Control measurements included ambient EMF measurements and human measurements without an artificially generated EMF. Then, we tested several EMF frequencies and EMF field strengths that worked well during our animal trial with Rhesus monkeys. This was a prelude to our proposed FDA Phase 2 and Phase 3 trials.
The results were amazing. Using an oscilloscope and specialized software for signal filtering, we were able to measure the EMF disturbance, the patient heart rate and even patient respirations! These results validated our animal trial data that estimated the electromagnetic energy emissions of the heart. The company can now use these techniques to glean even more information from our EMF sensors.
I can’t say enough abut the technical expertise and skill of the GA Tech faculty in Signal Processing. In less than an hour, our sensor signals had been uploaded, analyzed and displayed. Our FDA Phase 1 trial had focused on safety and measuring the EMF disturbance as a single measurement. Armed with these new signal processing analytics, I feel even more confident that we can be successful in a human clinical trial. Stay tuned for a big announcement about our proposed human clinical trials.
