For you to have a firm understanding as to how the nervous system and brain works, and how the body can be used to radiate electrical energy (and thus effectively be used like an antenna), I suggest that you read the pages starting “Neuroscience, Quantum Biology, And The Bio-field“. This is because some of the more advanced ideas on this page can be easily dismissed if you do not understand the basics that are presented on those pages.

As I always say, there is a tremendous amount of misinformation out there so I do my best to ensure that all information presented is credible and only references peer reviewed articles / papers published on accredited research systems such as PubMed or Research Gate, regularly reviewed news agencies, electronic magazines, or declassified CIA documents.


I’ll start this off by asking two different, and very interesting questions that I’m sure most would answer “No” to:
1) Is it possible for someone to see the image that I am thinking about in my mind using electronic devices?
2) Is it possible for someone to listen into my deepest thoughts – listen to my ‘inner voice’ using electronic devices?

Amazingly the answer to both questions is YES! And I am not the only one thinking about this, for instance prizes have been awarded for those making the most advances in this type of research, such as the Qualcomm Tricorder X-Prize, in which a company called Final Frontier Medical Devices won US$2.6 million for their research! Here are a couple of examples where remote technology has been used to ‘sense’ the body:

My thoughts on this were that if we knew the most constant signals generated by the body, and we knew how they were shaped (via biological structure), and could extract those signals from background noise, then we would be able to extract biologically generated signals more easily, per person – perhaps using specifically tuned filters and antenna’s (or other like sciences) to help amplify their reception….but more on that later.

While some strong biologically generated signals can already be read at a pretty good distance – like the heart – it seems most people suggest that weaker signals cannot be easily extracted due to environmental noise. But I find this statement to be rather interesting, considering that NASA developed the ability to read weak signals from satellites in space through atmospheres (decades ago), use weak signals to examine planets while passing by or in orbit (decades ago), and use weak signals to then report the information back for review (…decades ago)!

In another example, a newer technology, dubbed Atomic Radio, can detect RF signals (currently between 2.5 to 15 centimeters) using Rydberg atoms. Rydberg atoms are cesium atoms with their outer electrons having been so excited that they orbit the nucleus at great distance. When the electrons’ potential energy levels are extremely closely spaced they exhibit special properties – a small electric field in their vicinity will move them to a different level (this effectively makes them sensors). A gas made of Rydberg atoms can become transparent when a tuned laser is used on it, as it essentially saturates the gas’s ability to absorb light, allowing another laser to pass through it. As the electrical field interacts, the electrons change orbit, affecting the gas saturation, which can be detected by the second laser. This laser signal is captured and we are able to determine how the radio signals are frequency modulated or amplitude modulated.

Start With The More Commonly Known Methods Of Extracting Biological Signals

For those just joining us (you have no read the prior suggested pages at top), then I offer a list of just a few of the more basic yet interesting achievements that have been made towards improving our interpretation of biologically generated signals – hopefully this captures your interest!

Most likely, the above listed achievements were made possible using one (or more) of the technologies below. Current methodologies of reading biological signals are topographical (touching the body) or needing to be very close to the body (this is called non-invasive), or they need to be implanted into the body (invasive). Unfortunately, currently invasive technology seem to yield the best results, as they are closest in proximity to the body part generating the electrical signal.

Optical Magnetometers – device used to measure the magnetic fields generated by single nerves from outside the body and at room temperatureElectroencephalogram (EEG) – reading electrical signals generated by the brainElectrocardiogram (ECG) – measures the electrical activity of the heart
Electromyography (EMG) – measures the electrical activity generated by the skeletal musclesMagnetoencephalogram (MEG) – measures the magnetic fields generated by the electrical activity in the brain. Here is one that operates at room temperature –
another article here
Functional Magnetic Resonance Imaging (fMRI) – technology that measures brain activity by detecting changes associated with blood flow (as it increases during the thought process) – here is an article that describes how this technology works in more detail
Magnetic Resonance Imaging (MRI) – a technology used to image pictures of the anatomy and the physiological functions of the body using strong magnetic fields – and provide an ability to read signals generated by the brainTRIMprob (Tissue Resonance InterferoMeter Probe) – a portable system for non-invasive diagnosis of biological diseasesEvent-related Optical Signal (EROS) – a neuroimaging technique that uses infrared light through optical fibers to measure changes in optical properties active areas of the cerebral cortex
Transcranial Magnetic Stimulation (TMS) – technology that uses magnets to induce currents in the brain (another article here)Galvanic Skin Response (GSR) – measuring the electrical conductance of the skinTranscranial Direct-current Stimulation (tDCS) – electrically stimulates the brain using constant, low direct current delivered via electrodes on the head
Superconducting Quantum Interference Device (SQUID) – a very sensitive magnetometer used to measure extremely subtle magnetic fieldsOptogenics – technology that uses light to control neurons (here is another article)fUS – functional ultrasound – a method to read bloodflow in the brain, which can be directly linked to brain activity, and that can accurately map brain activity from precise regions deep within the brain at a resolution of 100 micrometers
Ultrahigh Input Impedance Electric Potential Sensors – these sensors, requiring no electrical or physical contact with the body, can be used to monitor human electroencephalogram (EEG).Quantum Magnetmometry – highly sensitive ultra small magnetometer, capable of detecting a the magnetic field of a single spin, that uses magnets and diamonds

The research industry seems to keep focus on using and improving touch technologies, with vast improvements having been made in providing the ability to extract faint biological signals – like this miniaturized electrode system that bonds to the complex curvature of the ear’s auricle and the adjacent mastoid. This solution is reported durable, remaining bonded to the skin for periods of two weeks and withstanding normal activities such as vigorous exercise, showering, and swimming. Another article here, with pictures which how the minuscule size of the solution. Another reference here.

And where are these technologies taking us? Well, as recently as 2009 BCI technologies had matured to a degree where both the machine and the brain are able to modify the other’s behaviors. How this works: imagine a system where a machine’s behavior is based on the very equations that are supposed to govern human coordination. Now imagine a human interacting with that machine, whereby the human can modify the behavior of the machine and the machine can modify the behavior of the human. In 2012, scientists were able to give prosthetics a sense of ‘touch’! And in 2014 scientists enabled a paralyzed woman to control a robotic arm wirelessly with her mind! Wouldn’t it be awesome if this could be done using remote systems, so that implants or electronics close to the body would not be required.

This is leading to the home enthusiest manufacturing solutions using off-the-shelf products, such as this inventor who used a grouping of sensors hooked up to an Arduino MEGA, that was able to read human magnetic fields in an un-shielded environment (real-world biological signal reading – not in a lab)!

I offer a video in which Dr. James Giordano presented a review of current technologies capable of extracting and inducing signals into the body, here. Note that I, unfortunately, cannot find a full version – but in this video he covers such things as:

  • How did the current neuroscience environment grow into what it is today?
  • That there are technologies that enable us to both “read” and “write” to the brain.
  • Introduces various categories of assessment neurotechnologies that give you a view of the brain and some of its functioning, such as static imaging to live monitoring, speaking to how they work, what they interpret, and some of their limitations.
  • Introduces how cloud computational analysis is being used by researchers.
  • Reminds us that we are defining what is identified as valid signals and ‘noise’ during our analysis and reviews, thereby possibly skewing results.
  • Notes that these advances have allowed the ability to determine what could be considered as the ‘norm’ for standard brain activities (for the average person).
  • Introduces the idea of Neurogenomics / Genetics and how connecting the information generated by the prior mentioned technologies might be connected to your genome – to predict your behaviour. And how that might induce limitations on you or act as a predictor of future behaviors.
  • Mentions a company called, “23andMe” which uses your genome to determine the best possible matches for you (for dating).
  • Reviews the use of bio-markers relative to behaviors and identifiers.
  • Reviews the ethics in how neuroscience is being connected with psychology and other sciences in an advancement towards ensuring that those susceptible in performing crimes could be stopped prior to their actioning.
  • Notes that current research (as of 2012) is focused:
    • identify brain structure and activity correlated to reported cognitive / emotional states
    • illustrate brain activities involved in observed reactions and behaviors
  • and that this research is headed towards:
    • linking brain states to cognition / emotions / behaviors
    • scanning brains / reading minds
    • predicting cognitions / emotions / behaviors

This leads me to wonder, how could we remotely extract biological signals? For this, let’s start with nature – how does it happen in nature?

How Does Nature Read Extremely Faint Signals?

Animals and insects are on, and evolved with, the Earth and thus are subject to its environment.  Thus, they would naturally take any advantages that their biology can detect (a short list below).  Of course, scientists have been working to glean ways of us doing the same, for people and using electronics.

Remotely Extracting Biological Signals

It is interesting as to just how little the general public knows about how the body generates EMF signals and how these signals can be read using various technologies. Perhaps the most interesting way to introduce this to you is to reference some of the research being performed by one of the largest and most well funded research institutions employed by the US Government and Military, “Darpa“. For instance, Darpa has created an initiative called “Electrical Prescriptions”, which seeks to deliver non-pharmacological treatments for pain, general inflammation, post-traumatic stress, severe anxiety, and trauma that employ precise, closed-loop, non-invasive modulation of the patient’s peripheral nervous system. Called, “ElectRx”, the technology would exploit and supplement the body’s natural ability to quickly and effectively heal itself, intervening when required to correct or bolster nervous system activity, by establishing the underlying science and developing the technologies that could enable artificial modulation of peripheral nerves to restore healthy patterns of signaling in these neural circuits.

In 2017 DARPA initiated research into the ability to upload and download knowledge directly into and from the brain, and is working to create an ability for people to telepathically communicate. They are researching how we can read and write to soldiers’ minds [second article here]. And, how to read their minds and control their bodies [Sources: Defense One, Wired, Wired, Nextgov, Express, Time, Defense One, Wired]. Darpa has also initiated seven projects aimed to: stimulate the vagus nerve using electrical impulses (affecting different parts of the body), use pulses of light to alter neural circuits involved in neuropathic pain, explain how ultrasound can be used to stimulate neurons, and use magnetic fields to activate neurons [Source: Darpa].

Other supporting research channels are also moving this science forward – for instance DARPA is pushing magnetic field sensing to a new era with the “Atomic Magnetometer for Biological Imaging In Earth’s Native Terrain (AMBIIENT) program”. The AMBIIENT program promises the ability to read the magnetic field generated by the body without needing the subject to be shielded from the Earth’s magnetic field. And in mainstream science, researchers are working to reduce the time it takes for an individual to learn new tasks and operations (another article), and have also discovered a way to introduce memories into the brain of a mouse in the absence of experience!

More Advanced Methods Of Remotely Extracting Biological Signals

Would you believe you are able to read brain signals using headsets? Here is a list of some that have been available to the general public since 2017 – like these earbuds that can detect EEG signals. Here is a list of some other technologies that can read biological signals:

While some of these are really cool – they still all require the person to wear them or be in close proximity to the detection device. I am looking for a better way!

Things To Consider When Remotely Extracting Biological Signals

By now if you’ve read the suggested website content it should be more clear as to why I am working to learn the frequencies of the organs in the body, the nervous system, the different parts of the brain, and the whole brain and body.  I believe it possible to extract these signals by tuning into their specific frequencies / patterns and using filters to remove ‘noise’.  I offer the following in support of the idea:

I am also wondering, since the heart generates one of the strongest and most easily detected (by remote means) signal generated by the body, if it could be possible to use this signal somehow? Or use a combination of all detectable signals generated by the body? In support of this theory, I offer this, possibly controversial web link. Note that I have not been able to validate all of the information presented on this website, but it is interesting to note that the heart indeed has neurons, and does seem to function in the way described in the video on found on the page. It could be possible that if the brain is detecting the electromagnetic field generated by the heart, then it could detect others as well… I am currently trying to establish the interconnection between these electromagnetic fields.

And of course once brain signals are read, scientists usually want to identify which signals were generated by the brain and which ones are noise – so to help separate the two scientists created this chip.

The Brain Processes A Lot Of Data – How Could You Collect / Process All Of It?
We Can Condense What Is Collected

As described on other pages, we know that words and images trigger specific neural reactions. For instance, the word “cat” when heard, will trigger the parts of the brain responsible for the concept of a “cat”. We also understand that all brains generate the same ‘pattern’ when we think of a “cat”, or other object / concept. So rather than try to transmit all of the brain signals generated by the brain and deciphering them, one could just receive the brains overall ‘patterns’. An example: if an individual is listening to their father talking about feeding a cat in the house, and you wanted to know what was happening but could not hear the conversation, then you could ‘eavesdrop’ and re-construct the conversation by ‘receiving’ the higher level thoughts / concepts: (house), (father), (cat), (hunger), (food). Watch this video presentation from the History Channel for an overview. Watch the whole thing or zoom into 7:42.

We Could Record A Persons “Inner Voice”

When deep in thought a few people think in “pictures” (visually), while most think using their “inner voice”. If you use your inner voice, then that is the voice that your brain generates as you think things through, or when you read silently. Most people are unaware of this, but if you concentrate, you may be able to notice whether you think using your voice or with images. Here is a funny video, with a doctor (who uses his inner-voice during thought) interviewing someone that does not have an inner-voice – he tries to compare how each think things through. Myself, I seem to use both – depending on need. Here is a link to his blog on this topic. And here is a link to an article describing how a person’s inner voice can be extracted and decoded.

If you are familiar with computer audio files, even if you combined the two idea’s above, think how small the data set would be if you only extracted one single voice and top level brain ‘patterns’! For those not familiar, let’s just say that the file would be incredibly tiny! And consider that the person would use this voice to disclose all of their most intimate thoughts – bank pins, passwords, responses, etc… They would not have any way of stopping you from doing this.

Here is a BBC article showcasing our ability to extract the ‘silent speech’ that we hear in our heads. And here is an article advising as to how scientists were able to reconstruct an individuals speech from the human auditory cortex.

You Could Also Read Biological States

There is a lot of technology used today that will allow us to read emotional states remotely (without touch). For instance, a technology called, “VibraImage“, can detect many emotional states using standard digital, web, or television cameras. It leverages that human head micro-vibration is linked with the vestibular-emotional reflex (VER) of a person and reflects emotions levels. Yet another technology uses voice analysis to detect Post Traumatic Stress Disorder. MIT scientists have discovered a way of reading emotional states using wireless signals – by analyzing your heartbeat! MIT publication here. Of course, there are also the ‘old school’ methods of using EEG or Infrared.

The Brain Is Faster Than A Computer – How Could You Process The Extracted Information Fast Enough?

Here is a news article advising of a new method developed by researchers at Lund University in Sweden, making it possible to re-code neural signals into a format that computer processors can use instantly. The Lund researchers used simulated recordings from nerve cells to evaluate the method, and were able to show that they can simultaneously collect data from over one million nerve cells, analyze the information, and provide feedback within just a few milliseconds (two way communications with individual nerve cells).

An example: if an individual is listening to their father talking about feeding a cat in the house, then you could read the triggered ‘patterns’ (signals) from the appropriate higher-functioning brain nodes (the area of the brain that recognizes the combined concepts of the cat, house, and food). You’d now be extracting a relatively small signal (pattern) – compare to if you tried to capture all of the supporting signals generated by the brain.

When you are inducing a signal into the brain to get an intended result, it has been noticed that if you match the signals of the brain more precisely (directly imitating the ‘patterns’ used by the brain) then far less energy is required to induce that information onto the brain than prior thought. In fact, you can do this using signals having less power than can be produced biologically (naturally)! This has been proven, with a study that noticed melatonin levels could be adjusted by applying a structured magnetic field having intensity within the nano-Tesla range, set to varying pulse duration. And in another study where it was noticed patients suffering from neurological disorders experienced significant changes when exposed to short durations of magnetic fields within the pico to nano-Tesla range, again using structured magnetic fields being applied within a very localized brain space.  While the structure of the fields required need to be investigated, the power levels are always found to be similar to those generated globally by communication systems – which we are all subjected to daily.

It Is Possible To Extract High-Level Information From Many People At The Same Time!

In the above mentioned article it is clear that this method could also be applied to higher levels of data processing – meaning that not only can you read and write a group of a million neurons almost instantly, but by applying the same technique you can do the same across many groups of a million neurons! This means that you could process the information generated by a LOT of people extremely quickly all at once!

“Imagine that you want to hear what ten people in the room next door are talking about. If you listen by putting your ear against the wall you will just hear murmurs, but if you put a microphone on each person in the room, it transforms your ability to understand the conversation. And then think about being able to listen to one million individuals, find patterns in what’s communicated and instantly respond to it — that’s what our new method makes possible.”

Martin Garwicz, Professor of Neurophysiology at Lund University
We Are Able To Isolate Just One Person Out From The Crowd

As mentioned on other pages, everyone is unique – and their biologically generated signals are therefore also unique. Therefore, considering this and the above, it would be possible to determine which person of those millions had been thinking about the detected pattern.

Wouldn’t You Need An Ultra Fast Computer To Process All This Data?

Surprisingly No! Communication systems now operate at the speed of light (fiber-optics), Wi-Fi and satellite signals operate well beyond the Giga-hertz range. And once the information is extracted in a computer friendly way, because the information does not need to be altered or re-computed / re-constructed, then it is quite possible to store a tremendous amount of data in fast memory or disk, and to build algorithms on fast processors to enable quick and efficient searches. Not sure you believe this? Well, then here are just a few examples where governments have collected tremendous amounts of personal data of citizens from around the world using computer systems, in real-time, and which promise to deliver almost instant responses to any complex query received:

  • Project “PRISM” – Britain’s spy agency gained access to the cables which carry the world’s phone calls and Internet traffic and shared vast streams of sensitive personal information with the United States National Security Agency (NSA). They are recording more than 21 petabytes a day [Source: The Guardian].
  • Total Information Awareness – a program which was promoted as a tool to gather detailed information about individuals in order to anticipate and prevent crimes before they are committed.
  • The LifeLog program – was to enable the tracing of the ‘threads’ of an individuals life (events, states, and their relationships). It has the ability to “take in all of a subject’s experience, from phone numbers dialed and e-mail messages viewed to every breath taken, step made and place gone”. Article found here.
  • And more – check these out! [Sources: Spiegel, MarketWatch, The Guardian, BBC, The Star, Wikipaedia, Global News, CBC News, CBC News].

Myself, I continue to research and learn about how the different sections of the brain intercommunicate, and how various signal sources can penetrate into the brain – making me wonder as to their impact on cognitive function. If you found this interesting, then I suggest review the next page in this series, where I review information brought forth from other individuals about how we might remotely extract biological signals, and government agencies that could be investigating this.