Digital signal analysis of cardiac events in horses and ponies.
Abstract: We have developed a digital signal analysis technique which can be used to evaluate various cardiac events in ponies and horses at rest and during exercise. The algorithm is designed to identify R-wave peaks on the surface electrocardiogram, consistent reference points on the left ventricular pressure waveform and the initiation of the QRS complex on the epicardial electrogram. We have used the technique to evaluate data from 10 horses and ponies at rest, during strenuous exercise and during experimentally-induced coronary artery occlusion. The technique provided rapid and accurate beat-by-beat evaluation of data, even with relatively noisy signals and under conditions in which the waveform configurations were not consistent. The benefits afforded by this technique make it especially useful for extracting information which previously was difficult or impossible to obtain using more conventional methods of analysis.
Publication Date: 1991-01-01 PubMed ID: 2065168
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- Journal Article
Summary
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The research introduces a digital signal analysis technique, which can efficiently evaluate several heart-related aspects in horses and ponies at rest and during physical activity. The technique provides precise, rapid data, even in noisy conditions, offering advantages over conventional methods.
Description of the Technique
- The team developed an algorithm for digital signal analysis intended to evaluate various cardiac events (heart-related aspects) in ponies and horses, both under rest and during exercise.
- The algorithm is designed specifically to identify three key markers on different electrocardiograms: the R-wave peaks (a specific point in the heart’s electrical cycle) on the surface electrocardiogram, consistent reference points on the waveforms of left ventricular pressure, and the initiation phase of the QRS complex (another key point in the heart’s electrical cycle) on the epicardial electrogram (a type of tracing of the heart’s electrical activity).
Results from the Test Application
- The team applied the algorithm to data gathered from ten horses and ponies, in three different conditions: resting, during strenuous exercise, and during experimentally-induced coronary artery occlusion (a condition where the blood supply through the coronary arteries to the heart muscle is reduced).
- The technique was able to provide rapid and accurate evaluations beat-by-beat, making it reliable even with noisy signals or when the waveform configurations were inconsistent, situations that would normally present difficulties.
Benefits of the Technique
- The major advantage of the technique lies in the capability of extracting relevant information which was traditionally difficult or even impossible to be derived using more traditional analysis techniques.
- Through the ease of obtaining previously hard-to-get data, this strategy can significantly overhaul veterinary cardiovascular diagnostics, aiding in a more precise understanding, and potentially more effective treatments for heart diseases in horses and ponies.
Cite This Article
APA
Jiang B, Rugh KS, Hatfield DG, Jiang D, Hahn AW.
(1991).
Digital signal analysis of cardiac events in horses and ponies.
Biomed Sci Instrum, 27, 291-297.
Publication
Researcher Affiliations
- John M. Dalton Research Center, University of Missouri, Columbia 65211.
MeSH Terms
- Algorithms
- Animals
- Electrocardiography
- Horses / physiology
- Physical Exertion / physiology
- Reference Values
- Signal Processing, Computer-Assisted
Citations
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