I need to write an introduction and literature review for a research paper on analyzing the impact of machine learning and deep learning methods for correcting RR intervals for noise present and missing data for HRV parameter estimation.
1- Correction of RR intervals using ML models
2- Investigate the effect of machine learning methods by analyzing HRV parameter estimation methods and compare them with state-of-the-art methods in the literature
The literature review should mention the following:
1- The similar existing studies
2- The traditional methods investigated for this task, such as bootstrapping and interpolation methods (nearest neighbor, linear, cubic spline, and piecewise cubic Hermite).
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7240322/
Some useful resources for this part:
Analyzed the effect of correction algorithms on HRV:
https://www.sciencedirect.com/science/article/pii/S0169260710002877?via%3Dihub
https://www.mdpi.com/1424-8220/19/14/3163
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8927864/
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0240220
https://ieeexplore.ieee.org/document/6418424
https://pubmed.ncbi.nlm.nih.gov/360020/
https://www.sciencedirect.com/science/article/pii/S1959031823000258
https://www.researchgate.net/publication/313419861_Heart_Rate_Variability_A_Comparison_of_Artefact_Correction_Methods
https://www.researchgate.net/publication/281743756_Comparison_of_HRV_Parameters_Derived_from_Photoplethysmography_and_Electrocardiography_Signals
https://paulogentil.com/pdf/Heart%20Rate%20Variability%20During%20Exercise%20-%20A%20Comparison%20of%20Artefact%20Correction%20Methods.pdf
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6679245/
https://journals.physiology.org/doi/epdf/10.1152/japplphysiol.00927.2016
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6679245/
https://pubmed.ncbi.nlm.nih.gov/21194782/
1- Heart Rate Variability (HRV) and its research significance
2- Wearable Devices and Their Implications for HRV Measurement
4- Benefit of machine learning method over traditional methods
3- The objective of the paper that is to analyze the effects of machine learning imputation techniques on the treatment of errors series and compare it with state-of-the-art methods
In the introduction, make sure to mention more than 10% of beats recorded contain error cite:
https://www.mdpi.com/1424-8220/19/14/3163
also discusses error amount using various devices: https://www.mdpi.com/1424-8220/21/4/1061, https://mhealth.jmir.org/2019/3/e10828/
https://pubmed.ncbi.nlm.nih.gov/29668452/