Heart IBI Signal Selection for Artifact-Robust Quality Evaluation

The patent applies preliminary action by performing quality assessment of individual IBI signals before they are used for further analysis. The system evaluates each signal against predefined quality criteria (completeness, physiological plausibility, signal-to-noise ratio) and selects only high-quality signals for subsequent processing. This pre-selection approach ensures that environmental disturbances and artifacts are filtered out beforehand, maintaining measurement precision while preserving the ease of operation of contactless measurement techniques.

The patent applies the extraction principle by separating high-quality IBI signals from low-quality signals through a quality assessment process. The system extracts only the useful, artifact-free signals that meet predefined quality criteria, while discarding signals contaminated by environmental disturbances or measurement artifacts. This selective extraction approach maintains the quantity of usable data while eliminating the computational waste associated with processing low-quality signals, thereby reducing energy consumption and processing time.

The patent applies parameter changes by evaluating IBI signals based on multiple quality parameters including completeness (whether the signal contains the expected number of beats), physiological plausibility (whether the IBI values fall within normal physiological ranges), and signal-to-noise ratio. By changing the evaluation from a single criterion to multiple parameters, the system achieves higher reliability in signal selection. The complexity introduced by these additional parameters is managed through automated algorithms that systematically assess each parameter, making the complexity manageable and justified by the significant improvement in measurement reliability.