ECG measurement in the bathtub - electrodes on the sides of the bathtub, bath simulation - women - Open Research Data - Bridge of Knowledge

Your account

login

Search

ECG measurement in the bathtub - electrodes on the sides of the bathtub, bath simulation - women

Description

The measurement data shows the measurement of the ECG signal in water in the bathtub. The data includes the measurement time, the reference ECG signal from the chest, and the ECG signal measured by electrodes placed in the bathtub without contact with the human body. Using the presented data, it is possible to estimate the optimal arrangement of measuring electrodes, e.g. in the design of a measuring mat for a bathtub, depending on the expected nature and quality of the recorded data. The data shows a record of the heart's electrical activity at a specific electrode placement in or out of the bathtub. The data was recorded using the Analog Discovery 2 system and the WaveForm software.

Bath parameters:

  • tap water - conductivity before the inlet approx. 640us / cm
  • water temperature - 36 ° C
  • capacitance between the electrodes and the bath water - about 1-1.4 nF
  • capacity between the electrodes and the water with the person inside - about 1.4 - 2nF
  • water conductivity after bathing - about 660 us / cm
  • water temperature after bathing - 34 ° C

Measurement scenarios:  electrodes on the sides of the bathtub, bath simulation

Person: women

Illustration of the publication

Dataset file

w_electrodes on the sides of the bathtub, bath simulation.txt
441.6 kB, S3 ETag 26397e61b8f3a332994edc7621c2d537-1, downloads: 4
The file hash is calculated from the formula
hexmd5(md5(part1)+md5(part2)+...)-{parts_count} where a single part of the file is 512 MB in size.

Example script for calculation:
https://github.com/antespi/s3md5

File details

License:
Creative Commons: by-nc-sa 4.0 open in new tab
CC BY-NC-SA
Non-commercial - Share-alike
Raw data:
Data contained in dataset was not processed.

Details

Year of publication:
2021
Verification date:
2021-06-22
Creation date:
2021
Dataset language:
English
Fields of science:
  • biomedical engineering (Engineering and Technology)
DOI:
DOI ID 10.34808/ntpd-ws52 open in new tab
Series:
Verified by:
Gdańsk University of Technology

Keywords

Cite as

Authors

seen 40 times