Electrophysiology in dog after subcutaneous nerve stimulation

Juyi Wan
,
Mu Chen
,
Yuan Yuan
,
Zhuo Wang
,
Changyu Shen
,
Michael Fishbein
,
Zhenhui Chen
,
Johnson Wong
,
Maria Grant
,
Thomas Everett
,
Peng-Sheng Chen

Antiarrhythmic and proarrhythmic effects of subcutaneous nerve stimulation in ambulatory dogs

Updated on May 9, 2020 (Version 1, Revision 1)

Corresponding Contributor:

Peng-Sheng Chen
Dataset Banner Image
6,882 Files
298.31 GB
47 Records

Dataset Overview

Study purpose: The purpose of this study was to test the hypothesis that long duration low output ScNS causes cardiac nerve sprouting and increases plasma norepinephrine concentration and the duration of paroxysmal atrial tachycardia (PAT) while high output ScNS is antiarrhythmic in ambulatory dogs.

Data collection: Electrical signals recorded by 3 pairs of bipolar electrodes under the skin in ambulatory dogs. The sampling rate was 1,000/s. These electrical signals were recorded to detect cardiac arrhythmia and nerve activity under the skin. The data were analyzed with custom written software (Nerve_Act), which reads the data and apply filters to optimize the arrhythmia detection and nerve activity detection.

Primary conclusion: In ambulatory dogs, low output ScNS causes cardiac nerve sprouting and increases plasma norepinephrine concentration and the duration of PAT episodes while high output ScNS is anti-arrhythmic.


Curator's Notes

Experimental Design: Bipolar electrodes were used to record cardiac arrhythmia and nerve activity in dogs during stimulation at multiple amperages between 0 mA and 3.5 mA.

Completeness: Complete

Subjects/Samples: The study consists of 22 dogs (11 males and 11 females) randomized into 5 different output groups for 2 months of ScNS: 0 mA (sham) (n = 6), 0.25 mA (n = 4), 1.5 mA (n = 4), 2.5 mA (n = 4), and 3.5 mA (n = 4).

Primary vs. Derived: Experimental data was recorded using a custom written software. There is no derived data.

Important Notes: The data files can be read using Data Sciences International (DSI)'s Dataquest A.R.T. software. There is an associated article published: https://doi.org/10.1016/j.hrthm.2019.02.027.

Code Availability: Not Available

Open Questions: Data files are submitted in their original form created by a custom written software, there is currently no txt or other open version of the data.

Files

Root Directory

0 - 0 of 0 files

No files found.

About this dataset

Publishing history

April 18, 2020
Originally Published
May 9, 2020 (Version 1)
Last Updated

Cite this dataset