Key result
Novel adaptive filtering achieves high-fidelity signal reconstruction and pattern learning for cardiac cycle measurements.
A novel signal processing technique effectively suppresses measurement noise in quasi-periodic signals, with potential applications in cardiac cycle monitoring using quantum sensors.
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May warrant testing for noise-robust cardiac monitoring; leaves open clinical utility pending validation.
Corcione et al. (2025) studied Periodic signals with non-stationary fundamental frequency. Adaptive modelling and filtering method was evaluated on Signal reconstruction and pattern learning. A novel adaptive modelling and filtering method achieved high-fidelity signal reconstruction and pattern learning for quasi-periodic signals, including cardiac cycle measurements.
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