Multi-slice Nested Recurrence Plot (MsNRP): A robust approach for person identification using daily ECG or PPG signals

[摘要] This study presents a novel approach called Multi-slice Nested Recurrence Plot (MsNRP) for person iden-tification using noisy bio-signals. Prior studies in biometrics have predominantly relied on ideal datasets of 5-10 min, which introduces uncertainty in accuracy when dealing with noisy bio-signals. The proposed MsNRP method captures features from one and multiple cycles without the need for preprocessing, making it well-suited for photoplethysmograms(PPG) and electrocardiograms(ECG). By overcoming the limitations of traditional recurrence plots(RP), MsNRP demonstrates robustness to noisy bio-signal datasets, thus offering a reliable solution for identification in practical scenarios. We demonstrate the experiments of MsNRP on both 5-10 min datasets, similar to previous related work and day-long datasets, measured in daily life emphasizing its robustness in handling noisy data.

[发布日期] 2023-11-01

[关键词] HEALTH-CARE;SLEEP-APNEA;CLASSIFICATION;SYSTEM