Using beat-to-beat heart signals for age-independent biometric verification
Abstract Use of non-stationary physiological signals for biometric verification, reduces the ability to forge. Such signals should be simple to acquire with inexpensive equipment. The beat-to-beat information embedded within the time intervals between consecutive heart beats is a non-stationary phys...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2023-10-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-023-42841-4 |
| _version_ | 1797453028380377088 |
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| author | Moran Davoodi Adam Soker Joachim A. Behar Yael Yaniv |
| author_facet | Moran Davoodi Adam Soker Joachim A. Behar Yael Yaniv |
| author_sort | Moran Davoodi |
| collection | DOAJ |
| description | Abstract Use of non-stationary physiological signals for biometric verification, reduces the ability to forge. Such signals should be simple to acquire with inexpensive equipment. The beat-to-beat information embedded within the time intervals between consecutive heart beats is a non-stationary physiological signal; its potential for biometric verification has not been studied. This work introduces a biometric verification method termed “CompaRR”. Heartbeat was extracted from longitudinal recordings from 30 mice ranging from 6 to 24 months of age (equivalent to ~ 20–75 human years). Fifty heartbeats, which is close to resting human heartbeats in a minute, were sufficient for the verification task, achieving a minimal equal error rate of 0.21. When trained on 6-month-old mice and tested on unseen mice up to 18-months of age (equivalent to ~ 50 human years), no significant change in the verification performance was noted. Finally, when the model was trained on data from drug-treated mice, verification was still possible. |
| first_indexed | 2024-03-09T15:16:59Z |
| format | Article |
| id | doaj.art-c8553ebbda8a4934bba3c31a05a26632 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-03-09T15:16:59Z |
| publishDate | 2023-10-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-c8553ebbda8a4934bba3c31a05a266322023-11-26T13:02:03ZengNature PortfolioScientific Reports2045-23222023-10-0113111010.1038/s41598-023-42841-4Using beat-to-beat heart signals for age-independent biometric verificationMoran Davoodi0Adam Soker1Joachim A. Behar2Yael Yaniv3Biomedical Engineering Faculty, Technion-IITBiomedical Engineering Faculty, Technion-IITBiomedical Engineering Faculty, Technion-IITBiomedical Engineering Faculty, Technion-IITAbstract Use of non-stationary physiological signals for biometric verification, reduces the ability to forge. Such signals should be simple to acquire with inexpensive equipment. The beat-to-beat information embedded within the time intervals between consecutive heart beats is a non-stationary physiological signal; its potential for biometric verification has not been studied. This work introduces a biometric verification method termed “CompaRR”. Heartbeat was extracted from longitudinal recordings from 30 mice ranging from 6 to 24 months of age (equivalent to ~ 20–75 human years). Fifty heartbeats, which is close to resting human heartbeats in a minute, were sufficient for the verification task, achieving a minimal equal error rate of 0.21. When trained on 6-month-old mice and tested on unseen mice up to 18-months of age (equivalent to ~ 50 human years), no significant change in the verification performance was noted. Finally, when the model was trained on data from drug-treated mice, verification was still possible.https://doi.org/10.1038/s41598-023-42841-4 |
| spellingShingle | Moran Davoodi Adam Soker Joachim A. Behar Yael Yaniv Using beat-to-beat heart signals for age-independent biometric verification Scientific Reports |
| title | Using beat-to-beat heart signals for age-independent biometric verification |
| title_full | Using beat-to-beat heart signals for age-independent biometric verification |
| title_fullStr | Using beat-to-beat heart signals for age-independent biometric verification |
| title_full_unstemmed | Using beat-to-beat heart signals for age-independent biometric verification |
| title_short | Using beat-to-beat heart signals for age-independent biometric verification |
| title_sort | using beat to beat heart signals for age independent biometric verification |
| url | https://doi.org/10.1038/s41598-023-42841-4 |
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