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# HRV parameters extracted from the MESA dataset for "Coupling analysis of heart rate variability and cortical arousal using a deep learning algorithm"

Preferred citation (DataCite format):

  Huo, Jiayan; Li, Ao; Roveda, Janet; Quan, Stuart (2023).
  HRV parameters extracted from the MESA dataset for "Coupling analysis of heart 
  rate variability and cortical arousal using a deep learning algorithm".
  University of Arizona Research Data Repository.
  Dataset. https://doi.org/10.25422/azu.data.21912984


Corresponding Author:
  Ao Li, Electrical and Computer Engineering, Biomedical Engineering, aoli1@arizona.edu


License:
  CC BY 4.0


DOI:
  https://doi.org/10.25422/azu.data.21912984



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## Summary

This is the minimal dataset for the reproduction of the figures/tables for
publication. The CSV file includes the mesaid(subject_id), segment
information, arousal types, and HRV features that were extracted from the MESA
dataset (https://sleepdata.org/datasets/mesa/) ECG channel of PSG data.  

  * mesaid denotes the subject id in the MESA dataset
  * HRV features denote the time domain feature names, including SDNN, RMSSD, pNN50, and HR(Heart rate)
  * hrv_val represents the value of HRV feature
  * arousal_classes refers to the cause of the arousal, including OSA, CSA, Hypopnea, PLM, UOD, and spontaneous
  * segments means if the segment is Pre-, Intra- or Post-arousal segments, each segment is 25 seconds



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## Files and Folders

The CSV file contains the HRV information extracted from ECG channel.



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## Materials and Methods

Recommended software such as Python/R can be used to calculate the mean/standard deviation or 
perform the test for significance level analysis.