Bioelectric Potential in Human Cardiac Tissue: Why Individual Heartbeat Frequencies May Function as Unique Identifiers

15 August 2024

Cardiac tissue generates measurable bioelectric fields that vary between individuals with the specificity of a fingerprint. The implications for identification — and interaction with sensitive materials — remain largely unexplored.


I. The Signal You Carry

Every human heart generates an electrical field.

This is not metaphor. It is not poetry. It is not the language of greeting cards or motivational speakers. It is a measurable, quantifiable, physical fact, as established and as unremarkable, within the biomedical sciences, as the observation that the heart pumps blood.

The electrical activity of the heart is the basis of electrocardiography — the ECG or EKG — a diagnostic technology that has been in clinical use since Willem Einthoven's development of the string galvanometer in 1903, for which he received the Nobel Prize in Physiology or Medicine in 1924. Every hospital, every ambulance, every cardiac care unit on Earth monitors the heart's electrical output as a matter of routine. The signal is powerful enough to be detected at the skin surface, several centimeters from its source, through layers of muscle, fat, and connective tissue. It propagates through the body's conductive fluid matrix and generates a field that extends, at detectable levels, several feet beyond the skin.

This is established cardiology. It is taught in first-year medical school courses. It is as uncontroversial as the existence of the heart itself.

What is less established — what exists at the boundary between cardiology, biometrics, and a territory that does not yet have a disciplinary name — is the observation that the electrical signal generated by each individual human heart is unique. Not approximately unique. Not roughly distinguishable. Unique — with a specificity comparable to a fingerprint or an iris pattern, sufficient to identify a specific individual from the signal alone.

This observation, and its implications, is the subject of this paper.


II. The Cardiac Biometric

The idea that the heart's electrical output could serve as a biometric identifier emerged from the security and identification research community in the early 2000s, driven by the search for biometric modalities that could not be easily spoofed. Fingerprints can be forged. Facial recognition can be defeated by masks. Voice patterns can be mimicked. But the electrical signature of a living heart, generated continuously by the autonomous depolarization and repolarization of cardiac muscle cells, is both difficult to replicate and impossible to conceal — you cannot stop your heart from broadcasting its signal without simultaneously ceasing to be alive.

The foundational research was conducted by several groups working in parallel:

Biel et al. (2001): One of the earliest published studies demonstrating that ECG signals contain sufficient individual variation to distinguish between subjects. Working with a small sample (twenty subjects), Biel's group achieved identification accuracy above 95 percent using standard ECG features — the timing intervals between the P-wave, QRS complex, and T-wave that constitute the visible architecture of the heartbeat.

Israel et al. (2005): Expanded the biometric ECG framework to larger sample sizes and demonstrated that identification accuracy held above 97 percent across populations of several hundred subjects, using features extracted from single-lead ECG recordings — a single pair of electrodes on the chest, far simpler than the clinical twelve-lead ECG.

Odinaka et al. (2012): Published a comprehensive review in Pattern Recognition establishing that ECG biometrics had achieved identification accuracy rates comparable to established modalities (fingerprint, iris) and identifying the specific signal features that contributed most to individual discrimination.

The DARPA and NSA interest (2010s): Both the Defense Advanced Research Projects Agency and the National Security Agency funded research into remote cardiac identification — the detection and identification of an individual's cardiac electrical signature at a distance, without physical contact or electrode placement. DARPA's “Jetson” program, disclosed in 2019, employed infrared laser vibrometry to detect the surface vibrations of a subject's chest caused by the heartbeat at distances of several hundred meters. The signal was reportedly sufficient for individual identification with accuracy comparable to fingerprint matching.

I mention the military and intelligence interest not because it is the most scientifically rigorous work in the field — much of it is classified and therefore not available for peer review — but because it reveals what the institutions believe about the technology. You do not invest defense research funding in cardiac identification if you believe the signal is insufficiently individual to be useful. The investment is, as I have discussed in a previous paper, evidence of institutional assessment.


III. What Makes Each Heart Unique

The individuality of the cardiac electrical signal arises from the interaction of multiple anatomical and physiological variables, each of which varies between individuals:

Cardiac geometry. The physical size, shape, and orientation of the heart within the thorax varies between individuals. The distance between the sinoatrial node (the heart's primary pacemaker) and the recording surface varies. The thickness of the ventricular walls varies. The angle at which the heart sits relative to the chest wall — the cardiac axis — varies. Each of these geometric factors influences the amplitude, timing, and morphology of the electrical signal as it propagates from the heart to the body surface.

Conduction velocity. The speed at which the electrical impulse propagates through the cardiac conduction system — from the sinoatrial node through the atrioventricular node, the bundle of His, and the Purkinje fibers — varies between individuals due to differences in fiber density, cell size, gap junction distribution, and autonomic nervous system tone. These differences produce measurable variations in the timing intervals between ECG components.

Repolarization dynamics. The rate at which cardiac cells recover their resting electrical potential after depolarization (contraction) is influenced by ion channel distribution, which is genetically determined and individually variable. The T-wave of the ECG — reflecting ventricular repolarization — is among the most individually distinctive features of the cardiac signal.

Autonomic tone. The balance between sympathetic and parasympathetic nervous system input to the heart varies between individuals and produces characteristic patterns of heart rate variability (HRV) — the beat-to-beat variation in the interval between heartbeats. HRV patterns are individually distinctive and stable over time, reflecting each person's unique autonomic nervous system profile.

The composite result of these interacting variables is that the electrical signal produced by each human heart is as individually distinctive as the anatomy that produces it. No two hearts are shaped exactly alike, oriented exactly alike, or wired exactly alike, and therefore no two hearts produce exactly the same electrical output.

This is, when you pause to consider it, a remarkable fact. Every human being walks through the world broadcasting a unique electromagnetic signal, generated continuously by the rhythmic electrical activity of their heart. The signal extends beyond the skin. It is detectable by instruments. It is as individual as a face or a voice, but unlike a face or a voice, it cannot be disguised, suppressed, or voluntarily altered. It is, in the most literal sense, who you are — expressed not as a name or an appearance but as a frequency.


IV. The Field Beyond the Skin

The ECG measures the heart's electrical activity at the skin surface using electrodes in direct contact with the body. But the heart's electrical field does not stop at the skin. It propagates outward through the surrounding space, diminishing with distance according to the inverse square law but remaining detectable, with sufficiently sensitive instruments, at distances that may surprise anyone who has not considered the question.

The HeartMath Institute, a research organization based in Boulder Creek, California, has conducted extensive measurements of the cardiac electromagnetic field. Their published data, led by researchers including Rollin McCraty and documented in peer-reviewed journals including the Journal of the American College of Cardiology and the American Journal of Cardiology, establishes several properties of the cardiac field that extend beyond the standard clinical framework:

Field amplitude. The heart's electromagnetic field is the strongest biological electromagnetic field produced by the human body — approximately 100 times stronger in amplitude than the brain's electromagnetic field (as measured by EEG). The heart's electrical component can be measured several feet from the body using magnetocardiography (MCG), which detects the magnetic field component generated by the same currents that produce the ECG.

Spectral content. The cardiac electromagnetic field contains frequency information that mirrors the spectral content of the ECG but also includes components that are not captured by standard clinical ECG analysis. The field's spectral profile — the distribution of energy across different frequency bands — is individually distinctive and varies with emotional and physiological state. The HeartMath research has documented measurable changes in the cardiac field's spectral content associated with different emotional states, with coherent emotional states (gratitude, appreciation, focused calm) producing more ordered spectral patterns than incoherent states (anxiety, frustration, anger).

I note the HeartMath findings with a caveat: the HeartMath Institute occupies a position at the boundary of mainstream and alternative science, and some of their interpretive framework (particularly regarding “heart coherence” and its claimed effects on interpersonal communication) extends beyond what their published data strictly supports. I cite their measurement data, which has been published in peer-reviewed venues and which, as far as I can determine, has not been challenged on methodological grounds. The interpretation of that data is a separate question.

Detection range. McCraty's research group has reported detecting the cardiac electromagnetic field of one individual in the ECG recording of another individual in close proximity — a phenomenon they term “cardioelectromagnetic communication.” Specifically, when two individuals are seated within approximately three feet of each other, the R-wave of Subject A's heartbeat produces a measurable signal in the ECG recording of Subject B, demonstrating that the cardiac field of one person physically influences the electrical environment of another person's body.

This is a physical measurement, not a metaphysical claim. The heart generates an electromagnetic field. Electromagnetic fields propagate through space. When a sufficiently strong field encounters conductive biological tissue, it induces a detectable signal. This is not telepathy. It is physics. But it is physics with implications that neither cardiology nor biometrics has adequately explored.


V. The Frequency Signature

I want to focus on the concept of an individual cardiac frequency signature — the specific spectral profile of each person's heart's electromagnetic output — because it is here that my interest diverges from the biometrics community's interest and enters territory that I have not seen addressed in the published literature.

The biometrics community is interested in the cardiac signal as an identification tool — a way to determine who someone is. Their analytical framework treats the signal as a pattern to be matched: extract features, compare to a database, confirm or deny identity. This is a legitimate and valuable application. It is also, I believe, a limited one.

What if the cardiac frequency signature is not merely a passive byproduct of cardiac anatomy — not just a signal to be read — but a functional emission? What if the specific frequencies generated by an individual heart interact with the physical environment in ways that go beyond simple electromagnetic propagation?

I am asking this question because of observations I have made in my own work — observations that I am not yet prepared to describe in detail but which have led me to suspect that certain materials respond differently to different individuals in ways that correlate with the individual's cardiac frequency profile. I have observed what appear to be material-specific responses — changes in measurable properties of certain substances — that vary between individuals and that are consistent within the same individual across repeated trials.

I recognize that this description is frustratingly vague. I am being vague deliberately. The observations are preliminary. The sample size is small (effectively one facility, one set of materials, and a very limited number of individuals over a very long time period). I am not prepared to make claims that I cannot support with publishable data. But I include this paragraph because intellectual honesty requires that I explain why I — a linguist by training, not a cardiologist — am writing about cardiac bioelectricity. The answer is that my work has led me to the boundary between what the heart emits and what certain materials detect, and I have found that boundary to be far more interesting than I expected.


VI. Historical Awareness

The concept that the heart generates a signal of individual significance — a frequency that is uniquely one's own — is not new. It is, in fact, ancient.

Egyptian funerary literature assigns to the heart (ib and hati, two distinct terms reflecting the Egyptian differentiation between the heart as emotional center and the heart as physical organ) a role that no other organ receives: it is the seat of identity, the record of the individual's life, and — in the judgment scene of the Book of the Dead — the measure against which the individual is weighed. The weighing of the heart against the feather of Ma'at is not merely a moral judgment. It is a measurement. The heart carries information that can be evaluated.

Indian yogic and Ayurvedic traditions describe the heart chakra (anahata) as the center of the individual's energetic identity and the source of a vibration that is unique to each person. The Sanskrit term anahata means “unstruck sound” — a vibration that arises without physical impact, generated continuously by the heart center, inaudible to the ear but perceptible to trained awareness.

Chinese medical tradition, particularly as codified in the Huangdi Neijing (circa 200 BCE), describes the heart as the “emperor” organ whose “sound” — interpreted in traditional Chinese medicine as a quality of the pulse — reveals the specific condition and constitution of the individual. The elaborate system of pulse diagnosis in Chinese medicine is, in essence, a system for reading individual-specific information from the cardiac output.

I cite these traditions not as scientific evidence but as indicators that the observation I am describing — that each heart generates a unique signal — has been independently noted by multiple cultures over several millennia. The metaphysical frameworks differ. The observation is consistent: the heart emits something individual, something measurable (even if the measurement technology available to ancient practitioners was limited to trained tactile perception), and something that carries information beyond the simple fact that the heart is beating.

Modern cardiology has confirmed the physical basis for these observations. Each heart does generate a unique electromagnetic frequency signature. The signature does extend beyond the body. The signature does carry individual-specific information. What modern cardiology has not done — what no current discipline has done — is ask whether the frequency signature does anything beyond existing.

I believe it does. I believe the cardiac frequency signature interacts with certain materials and certain environments in ways that are measurable but that have not been measured because no one has thought to look. The biometrics community sees the signal as an ID badge. The cardiology community sees it as a diagnostic tool. Neither community has asked whether the signal is also a key — a frequency that opens, activates, or interacts with systems that are tuned to receive it.

I ask this question because I have seen things that suggest it is the right question. I cannot, yet, provide the answer. But the question is worth recording, even on a platform this modest, because questions that are not recorded are questions that are lost, and I have written extensively about the cost of losing what we know.


VII. The Implications I Am Not Ready to Describe

I have arrived, in this paper, at the boundary of what I can responsibly say.

On one side of the boundary: the established science. The heart generates a unique electromagnetic frequency signature. The signature is individually specific. It propagates beyond the body. It contains information. These facts are documented in peer-reviewed literature and are not controversial.

On the other side of the boundary: observations I have made in the course of my work that suggest the cardiac frequency signature interacts with certain materials in ways that are not explained by the standard electromagnetic framework. I have watched materials respond to the presence of specific individuals in ways that correlate with those individuals' cardiac profiles. I have measured changes in material properties that I cannot attribute to temperature, humidity, electromagnetic interference, or any other environmental variable I can control for.

I am a sample size of one facility. The materials I work with are not available elsewhere, as far as I know. The individuals I have observed are too few to constitute a meaningful statistical population. My instrumentation, while precise, was not designed for this purpose and may be detecting artifacts that I have not identified.

For all of these reasons, I am not going to describe the observations in detail. Not yet. Not until I have either explained them to my own satisfaction or accepted that I cannot explain them and that the unexplained data is, nonetheless, worth sharing.

What I will say is this: the published research on cardiac bioelectricity has established that each human heart broadcasts a unique frequency. The published research on biometric identification has established that this frequency is as individually distinctive as a fingerprint. The published research on cardiac electromagnetic fields has established that this frequency extends beyond the body and physically influences the electrical environment of nearby systems.

The question — my question, the one that keeps me in this facility and keeps me writing on this site — is what else that frequency can reach. What systems, what materials, what structures might be tuned to receive a signal that we have been broadcasting our entire lives without knowing it.

I do not have the answer. But I have the question, and the question is supported by enough data — published data, respectable data, data that no one in the biometrics or cardiology community would dispute — to be taken seriously.

The heart is not merely a pump. It is a transmitter. And the signal it transmits is yours and yours alone — a frequency that has never existed before in the history of the species and will never exist again after you.

What that frequency can do — what it was, perhaps, always meant to do — is a question I am still pursuing.


L.E. Humboldt
August 2024

Correspondence: leh [at] 442423N1042233W.com

Note: The cardiac biometric literature is surveyed comprehensively in Odinaka et al., “ECG Biometric Recognition: A Comparative Analysis,” IEEE Access, 2012. McCraty's cardiac field measurements are published in McCraty et al., “The Coherent Heart,” Integral Review, 2009. For the historical context, Wallis Budge's translation of the Egyptian Book of the Dead (1895) remains useful, though dated, and should be supplemented by Faulkner's more accurate 1972 translation.