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Real-time Evaluation of ECG Acquisition Systems through Signal Quality Assessment in Horses during Submaximal Treadmill Test.

Abstract: This paper reports on a novel real time index designed to assess the quality of electrocardiographic (ECG) traces recorded in a group of five horses during a submaximal treadmill test procedure. During the experimental protocol two ECG monitoring systems were simultaneously applied to the animals. The first system was equipped with textile electrodes while the second one with standard red-dot electrodes. The procedure comprised four phases with an increased treadmill velocity, specifically, Walk 1, Trot 1, Trot 2 and Gallop. Three signal quality levels have been fixed according to the amount of noise present in the ECG trace: good (G), acceptable (A), and unacceptable (U). Moreover, a statistical comparison between textile and red-dot electrodes has been performed in terms of percentage of signal belonging to each class. Even if preliminary, results showed that in each experimental phase textile electrodes are more robust to movement artifacts with respect to the reddot showing a significant evidence of their better performance. These results enable to design robust wearable monitoring systems suitable to improve the quality of collected ECG, reducing the great amount of motion artifacts due to red-dot electrode application and leading to a more accurate diagnosis of high speed arrhythmias.
Publication Date: 2018-11-18 PubMed ID: 30440443DOI: 10.1109/EMBC.2018.8512373Google Scholar: Lookup
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  • Journal Article

Summary

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The research examines a new real-time index for evaluating the quality of electrocardiographic (ECG) readings from horses during a submaximal treadmill test. The results indicate that textile electrodes perform better than standard red-dot electrodes in this application, providing higher quality ECG data.

Methodology

  • The researchers conducted a submaximal treadmill test using five horses.
  • Two types of ECG monitoring systems were used simultaneously: standard red-dot electrodes and textile electrodes.
  • The treadmill test involved four phases with increasing speed: Walk 1, Trot 1, Trot 2, and Gallop.
  • A set of three signal quality levels – good (G), acceptable (A), and unacceptable (U) – were used to rate the quality of the ECG readings based on the amount of noise, or unwanted signal interference, in the traces.

Results

  • A statistical comparison of the two electrode types was conducted by categorising the signal quality from each.
  • The findings, though preliminary, suggested that the textile electrodes were more robust to movement artifacts – disruptions in the ECG caused by the horses’ movement – and performed better than the red-dot electrodes at all levels of treadmill speed.

Implication

  • These results have important implications for the development of ECG monitoring systems for horses, particularly in exercise or performance testing situations.
  • Textile electrodes could potentially improve the quality of collected ECG readings by reducing the amount of motion artifacts, leading to more accurate diagnoses of high-speed arrhythmias – irregular heartbeat conditions that can be difficult to diagnose accurately using standard methods because of the noise introduced by the horses’ movement.

Cite This Article

APA
Nardelli M, Lanata A, Valenza G, Sgorbini M, Baragli P, Scilingo EP. (2018). Real-time Evaluation of ECG Acquisition Systems through Signal Quality Assessment in Horses during Submaximal Treadmill Test. Annu Int Conf IEEE Eng Med Biol Soc, 2018, 498-501. https://doi.org/10.1109/EMBC.2018.8512373

Publication

ISSN: 2694-0604
NlmUniqueID: 101763872
Country: United States
Language: English
Volume: 2018
Pages: 498-501

Researcher Affiliations

Nardelli, Mimma
    Lanata, Antonio
      Valenza, Gaetano
        Sgorbini, Micaela
          Baragli, Paolo
            Scilingo, Enzo Pasquale

              MeSH Terms

              • Animals
              • Artifacts
              • Electrocardiography
              • Electrodes
              • Exercise Test
              • Horses
              • Monitoring, Physiologic
              • Movement
              • Signal Processing, Computer-Assisted
              • Textiles

              Citations

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