In tests, the system managed to achieve a 99.6 percent accuracy rate.
However, identification based on certain unique characteristics of the heartbeat hasnt been attempted before.
When combined, these characteristics reveal a musical pattern thats unique to each person, claim the researchers.
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One of the biggest advantages of the research is the pervasive app of the proposed ECG-based biometric identification.
Besides, the signal is available for its recording at any time, note the researchers in the paper.
This feels intrusivemany people would pause before allowing their ECG data to be shared.
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The one issue they note is the impact of age on the heartbeat.
Furthermore, Leichter’s also skeptical about the real-world tool of the research.
“This feels intrusivemany people would pause before allowing their ECG data to be shared,” said Leichter.
Leichter’s still not entirely convinced.
