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An algorithm makes it possible to identify people by their heartbeat

Credit: CC0 Public Area

A research carried out by the Universidad Carlos III de Madrid (UC3M), along with the Shahid Rajaee Trainer Coaching University of Iran, concludes that the heartbeat can be utilized as a biometric device to determine folks.

Biometrics is the science that explores the identification of people and animals by means of organic measures or bodily traits, for instance, fingerprints or the iris of the attention. On this regard, biometric-based instruments are more and more utilized in fields resembling safety, to complement or exchange password techniques; and within the subject of civil administration, within the registration and provision of id paperwork.

This analysis proposes an revolutionary approach for figuring out folks, primarily based on the unique traits of their heartbeat. To do that, electrocardiograms (ECG) are used and 5 musical qualities are analyzed: dynamics, rhythm, timbre, pitch and tonality—generally used to characterize audio files—making use of them to the sound of heartbeats. Thus, a mixture of parameters is obtained from these 5 qualities, which is exclusive for every particular person and has an accuracy charge of 96.6%.

“Biometric identification based on cardiac recording has been studied for years, proving to be effective. The main novelty of our work is that we look at the ECG recording, which is a temporary signal, as if it were a sound wave. From there, we analyze this sound wave using the qualities that are commonly used to characterize music,” explains Carmen Cámara, a researcher from UC3M’s Laptop Science Division.

The primary benefit of this method is the universality of its identification, since, to at the present time, sure folks nonetheless can’t be acknowledged by sure varieties of biometrics—in instances of harm, amputation or disabling physical characteristics—however the heartbeat is a bio-signal which is current in all human beings, with out exception. One other benefit is its low price and non-invasive operation: “Nowadays, there are already smart bracelets and watches that perform ECG recordings, so it would be sufficient to install an application on them which uses our identification algorithm,” says researcher Pedro Peris-López, additionally from UC3M’s Laptop Science Division.

This system is presently beneath growth. Though the way forward for cardiac identification is promising, researchers say that they have to “continue this line of research, before considering commercialization.” One of many important points of this research is analyzing the conduct of the system in response to the completely different actions that the particular person carries out, resembling strolling, operating, resting, doing bodily train or being in a tense state of affairs. Moreover, elements resembling using pacemakers or the consequences of an arrhythmia should be taken under consideration.

Age can also be an element to think about: “Due to our aging, the signal changes slightly over time. This means that our system must be updated approximately every five years,” the researchers say.

Laughter as a unique biometric signature

Extra info:
Carmen Camara, Pedro Peris-Lopez, Masoumeh Safkhani, Nasour Bagheri, ECGsound for human identification, Biomedical Sign Processing and Management (2022). DOI: 10.1016/j.bspc.2021.103335

An algorithm makes it potential to determine folks by their heartbeat (2022, March 24)
retrieved 24 March 2022

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