5G
BIOMEDICAL SIGNALS CAN BE MEASURED FROM THE HUMAN BODY WIRELESSLY
from Sabrina Wallace via Smoke&Mirrors:
BIOMEDICAL SIGNALS CAN BE MEASURED FROM THE HUMAN BODY WIRELESSLY – SABRINA WALLACE
VIDEO:
Sabrina Wallace Connects the Dots for us in this extraordinary educational video. Unfortunately, she appears to be correct. I have personally looked up all the sources she provided, which I have included and made some comments.
Your body is a computer network transmitting signals to the Cloud Wirelessly and it is doing so with internal Biosensors that are Monitoring:
1. Temperature
2. Respiration
3. Blood Pressure
4. Pulse
5. ECG – Electrocardiogram
6. EEG – Electroencephalogram
7. EMG – Electromyogram
8. GSR – Galvanic Skin Response or Electrodermal Activity
9. Impedance
10. Movement
11. Blood Gas (O2, CO2, N2) – Electrogastrogram (EGG)
12. EOG – Electrooculogram – The electrooculogram (EOG) measures the cornea-positive standing potential relative to the back of the eye. By attaching skin electrodes outside the eye near the lateral and medial canthus, the potential can be measured by having the patient move the eyes horizontally a set distance.
13. ERG – Electroretinogram – Electroretinography measures the electrical responses of various cell types in the retina, including the photoreceptors, inner retinal cells, and the ganglion cells. Electrodes are placed on the surface of the cornea or on the skin beneath the eye to measure retinal responses.
14. EGG – Electrogastrogram – An electrogastrogram is a computer generated graphic produced by electrogastrography, which detects, analyzes and records the myoelectrical signal generated by the movement of the smooth muscle of the stomach, intestines and other smooth muscle containing organs.
You would think that Doctors attending the 2023 IEEE Biomedical Circuits and Systems Conference focusing on Artificial Intelligence Biomedical Circuits and Systems for Health would know what is going on just by seeing the topics below.
Topics — BIOMEDICAL TECHNOLOGIES
1. Biosensor Devices and Interface Circuits
2. Body Area/Sensor Networks and Wireless Health Monitoring
3. Implantable and Wearable Health Devices and systems
4. Bio-Inspired and Neuromorphic Circuits and Systems
5. Electronics for Neuroscience
6. Innovative Circuits for Medical Applications
7. Biofeedback, Neuromodulation, and Closed-Loop Systems
8. Assistive, Rehabilitation, and Quality of Life Technologies
9. Biotelemetry and Energy Harvesting/Scavenging Circuits and Systems
10. Lab-on-Chip / BioMEMS / Point-of-Care Devices
https://www.bitchute.com/video/lCjpNOy57HXO/