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CardiacDP

Automated Cardiac Data Processing via ACF, GA & Tracking Index

An algorithm developed to efficiently and accurately process complex and variable cardiac data with three key features: 1. employing autocorrelation to identify recurrent heartbeats and use their periods to compute heart rates; 2. incorporating a genetic algorithm framework to minimize data loss due to noise interference and accommodate within-sequence variations; and 3. introducing a tracking index as a moving reference to reduce errors. Lau, Wong, & Gu (2026) <https://ssrn.com/abstract=5153081>.

Versions across snapshots

VersionRepositoryFileSize
0.4.2 rolling linux/jammy R-4.5 CardiacDP_0.4.2.tar.gz 253.1 KiB
0.4.2 rolling linux/noble R-4.5 CardiacDP_0.4.2.tar.gz 253.0 KiB
0.4.2 rolling source/ R- CardiacDP_0.4.2.tar.gz 206.9 KiB
0.4.2 latest linux/jammy R-4.5 CardiacDP_0.4.2.tar.gz 253.1 KiB
0.4.2 latest linux/noble R-4.5 CardiacDP_0.4.2.tar.gz 253.0 KiB
0.4.2 latest source/ R- CardiacDP_0.4.2.tar.gz 206.9 KiB
0.4.2 2026-04-26 source/ R- CardiacDP_0.4.2.tar.gz 206.9 KiB
0.4.2 2026-04-23 source/ R- CardiacDP_0.4.2.tar.gz 206.9 KiB
0.4.2 2026-04-09 windows/windows R-4.5 CardiacDP_0.4.2.zip 251.1 KiB

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