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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>.
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Package details |
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| Author | Sarah Lau [aut, ctb] (ORCID: <https://orcid.org/0000-0003-1742-0821>), Adrian Wong [aut, ctb], Yi-Fei Gu [aut, cre] (ORCID: <https://orcid.org/0000-0003-1741-638X>) |
| Maintainer | Yi-Fei Gu <guyf0601@connect.hku.hk> |
| License | MIT + file LICENSE |
| Version | 0.4.2 |
| Package repository | View on CRAN |
| Installation |
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