What does this research mean for the field?

An algorithm based on critical percentage thresholds of beat-to-beat variation can successfully detect and correct errors in cardiac interbeat interval data, even under conditions of extreme variability. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

May 1, 1981Psychophysiology

Detection of and Recovery from Errors in Cardiac Interbeat Intervals

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Population

Cardiac interbeat interval data (R-R intervals)

Design

Other

Authors

MCMichael N. CheungUniversity of Illinois Urbana-Champaign

Discussion

Member takes

Implication

May improve interbeat data quality for HRV studies; leaves open validation in clinical cohorts.

Structured PICO

Population

Cardiac interbeat interval data (R-R intervals)

Intervention

Algorithm for the detection and correction of errors based on beat-to-beat variation limits

Outcome

Detection and correction of errors in R-R intervals

The proposed algorithm effectively detects and corrects errors in cardiac interbeat interval data, even in the presence of extreme beat-to-beat variability.

Cite This Study

Michael N. Cheung (1981) studied this question.

synapsesocial.com/papers/6a1575ae79ff98d0de4ea970 https://doi.org/10.1111/j.1469-8986.1981.tb03045.x

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Detection of and Recovery from Errors in Cardiac Interbeat Intervals

Discussion

Member takes

Implication

Structured PICO

Cite This Study

Detection of and Recovery from Errors in Cardiac Interbeat Intervals

Discussion

Member takes

Implication

Structured PICO

Cite This Study

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