The Science Behind ECG/EKG

We believe the science behind what we do is the cornerstone of our business. That's why we've invested over 15 years in advanced scientific research into ECG/EKG technology.

We work closely with leading medical professionals and have hired best-in-class scientists, engineers and software developers to advance ECG/EKG biometrics for a range of exciting commercial applications.

Here's how we're harnessing the power of ECG/EKG.

Understanding ECG/EKG

The ECG/EKG is a record of the bioelectrical activity during a heartbeat.

The bioelectric source arises during the heart’s electrical excitation process to produce a flow of electric current in the surrounding tissues, detectable with a pair of electrodes external to the heart.

The signal has several distinct features – the P wave, the QRS complex and the T wave – which make up the PQRST complex.

Variation in these signals provide a wealth of physiological information as well as providing a unique pattern per person.

These unique characteristics make the ECG/EKG an incredibly valuable signal to enable new and secure insights in wellness and health.

Benefits of ECG/EKG

Medical gold standard for cardiac diagnosis

An ECG is the medical gold standard tool used for cardiac diagnosis. According to the NHS, 'the most effective way to diagnose an arrhythmia is with an electrical recording of your heart rhythm called an electrocardiogram (ECG).'

Unparalleled range of information that can be extracted

From an ECG/EKG, a wealth of personalised and accurate health and wellness information can be extracted such as heart rate and stress levels, as well as detecting for potential arrhythmias.

Unique signal offers biometric authentication potential

As each ECG signal is different, not only between individuals but for the individual, it allows the signal to be used for biometric authentication.

Connecting Your Heart

We're harnessing the power of ECG/EKG, to empower a range of features, ready to be integrated into products and services.

Explore our algorithms now