Electrocardiography and vital signs recorded in patients with subarachnoid hemorrhage

This dataset includes electrocardiography and vital signs recording in patients with subarachnoid hemorrhage during their stay in the intensive care unit. Participants in this clinical trial (NCT04557618) were randomized to receive either the transcutaneous auricular vagus nerve stimulation (taVNS) or Sham treatment. The goal of this study is to study the cardiovascular effects of taVNS in patients with subarachnoid hemorrhage., A 3-lead system was used for electrocardiograms (ECG). ECG signals, sampled at 500 Hz, and other vital signs, such as blood pressure, sampled at 1 Hz, were recorded from the Intellivue patient monitor (Philips®, Netherlands) using vitalDB software. We removed all personally identifiable information from the dataset, such as names and contact details. Please see reference 1 for a detailed description of the study protocol.
Following randomization, enrolled patients underwent 20 minutes of either taVNS or sham stimulation twice daily during their stay in the ICU. During treatment periods, a portable transcutaneous electrical nerve stimulation (TENS) device (TENS 7000 Digital TENS Unit, Compass Health Brands, OH, USA) was connected to the patient’s left ear using two ear clips. For taVNS treatments, these ear clips were placed along the concha of the ear, while for sham treatments, the clips were placed along the earlobe to avoid stimulation of the auricular vagus nerve from tactile pressu..., , # Electrocardiography and vital signs recorded in patients with subarachnoid hemorrhage

[https://doi.org/10.5061/dryad.rfj6q57kw](https://doi.org/10.5061/dryad.rfj6q57kw)

## Description of the data and file structure

### Files and variables

#### File: df\_hrv\_sum.csv

**Description:** This file includes heart rate variability and heart rate measured from 24-hour ECG recordings. To calculate cardiac metrics, we first applied a 0.5 Hz fifth-order high-pass Butterworth filter and a 60 Hz powerline filter on ECG data to reduce artifacts. We detected QRS complexes based on the steepness of the absolute gradient of the ECG signal using the Neurokit2 software package. R-peaks were detected as local maxima in the QRS complexes. P waves, T waves, and QRS complexes were delineated based on the wavelet transform of the ECG signals proposed by Martinez J. P. et al.

##### Variables

* subj: anonymous subject id
* treatment: 1 means active taVNS
* research day: day 0 means the first day when t...