Analyzing ECG Data for Physiological Stress

ECG data were cut into the whole sleep time and 15 min segments and exported in EDF+ format using the BrainVision Analyzer software (2.2; Brain Products, Gilching, Germany). Data were further analyzed using Kubios HRV Premium 3.2.0 (Kubios Oy, Kuopio, Finnland). The software includes an automatic artifact correction based on successive RR peak intervals. Data were analyzed in the time and frequency domain and the following variables were included in our analysis: mean heart rate (as an index for physiological arousal (Kogler et al. 2015 (link))) and the activity of the parasympathetic (PNS-index, based on mean RR peak intervals) as well as sympathetic nervous system (SNS-index, based on mean heart rate) to assess physiological stress.

Partial Protocol Preview
This section provides a glimpse into the protocol.
The remaining content is hidden due to licensing restrictions, but the full text is available at the following link: Access Free Full Text.

Beck J., Loretz E, & Rasch B. (2022). Stress dynamically reduces sleep depth: temporal proximity to the stressor is crucial. Cerebral Cortex (New York, NY), 33(1), 96-113.

Publication 2022

BrainVision Analyzer

Arousal Brain Heart rate Physiological Physiological stress Sleep Sympathetic nervous system

Corresponding Organization : University of Fribourg

Other organizations : Siesta Group (Austria)

Top 5 similar protocols

Variable analysis

independent variables

Not explicitly mentioned

dependent variables

Mean heart rate (as an index for physiological arousal)
Activity of the parasympathetic nervous system (PNS-index, based on mean RR peak intervals)
Activity of the sympathetic nervous system (SNS-index, based on mean heart rate)

control variables

Not explicitly mentioned

controls

No positive or negative controls were specified by the authors.

Annotations

Based on most similar protocols

Etiam vel ipsum. Morbi facilisis vestibulum nisl. Praesent cursus laoreet felis. Integer adipiscing pretium orci. Nulla facilisi. Quisque posuere bibendum purus. Nulla quam mauris, cursus eget, convallis ac, molestie non, enim. Aliquam congue. Quisque sagittis nonummy sapien. Proin molestie sem vitae urna. Maecenas lorem.

As authors may omit details in methods from publication, our AI will look for missing critical information across the 5 most similar protocols.

About PubCompare

Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.

We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.

However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.

Ready to get started?

Revolutionizing how scientists
search and build protocols!