Emulate Quantum Magnetoencephalogra​​phy with Momenergy

We use momenergy semi theory to raise time domain from real to complex domain and add white noise to emulate the Pico Tesla quantum sensor.

MEG (Magnetoencephalography) analysis involves processing the pT-fT magnetic fields generated by the brain's electrical activity to map brain function, identify seizure sources, and study cognitive processes, using techniques like FFT to understand oscillations. It's a non-invasive neuroimaging method offering excellent temporal resolution, revealing rapid brain dynamics with better spatial accuracy than EEG because magnetic fields aren't distorted by the skull, making it crucial for clinical and research applications, we show that by using momentum energy mapping we can raise real signal into complex signals, such that we can see dementia dataset has more imaginary part (likely from the misfiring of the degenerated neurons) than the normal dataset.