Ternman, Emma
- Department of Applied Animal Science and Welfare, Swedish University of Agricultural Sciences
Abstract
This paper describes a new and computationally efficient adaptive geometrical method for improving the resolution of electrocardiogram (ECG) S-peak detection. The target device is an ECG implant for dairy cows which provides limited calculation power. The method utilises only arithmetic operations and is adaptive to individual ECG curves and electrode installation effects. The method tracks the average heights of the sample points preceding and following the S-wave peak. Comparing these heights to the long-time average values provides an estimate of the offset of the peak sample from the actual peak moment. On average, the prediction of spline interpolation on the original 512 Hz turning point is 0.043 ms more accurate than our geometrical algorithm. Both methods result in less than a 0.7 ms difference from the original data. However, the proposed method is significantly more computationally efficient than cubic spline interpolation. (C) 2014 IAgrE. Published by Elsevier Ltd. All rights reserved.
Keywords
ECG; Interpolation; Cow; S-wave
Published in
Biosystems Engineering
2015, volume: 129, pages: 324-328
SLU Authors
UKÄ Subject classification
Other Agricultural Sciences not elsewhere specified
Publication identifier
- DOI: https://doi.org/10.1016/j.biosystemseng.2014.11.005
Permanent link to this page (URI)
https://res.slu.se/id/publ/64357