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Journal of the autonomic nervous system1996; 60(1-2); 43-48; doi: 10.1016/0165-1838(96)00028-8

Assessment of autonomic nervous function by power spectral analysis of heart rate variability in the horse.

Abstract: We studied power spectral analysis of heart rate (HR) variability in the horse, with the hypothesis that the quantitative information provided by the spectral analysis of HR variability reflects the interaction between sympathetic and parasympathetic regulatory activities. For this purpose, electrocardiogram, blood pressure (BP) and respiratory (Resp) waveform were simultaneously recorded from Thoroughbred horses (3-5 years old) and analyzed by power spectrum. There were two major spectral components at low-frequency (LF) and high-frequency (HF) bands for HR variability. The peak of Resp variability clearly occurred at the HF range. In contrast to Resp variability, the power spectra of BP variability occurred at lower frequencies. The maximum coherence between HR and Resp variabilities and HR and BP variabilities occurred at approximately 0.15 and approximately 0.03 Hz, respectively. These relationships were similar to the ensemble spectra. On the basis of these data, we have defined two frequency bands of interest: LF (0.01-0.07 Hz) and HF (0.07-0.6 Hz). Therefore, we believe that power spectral analysis of HR variability provides a very powerful technique for assessing autonomic nervous activity in the horse.
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Publication Date: 1996-08-27 PubMed ID: 8884694DOI: 10.1016/0165-1838(96)00028-8Google Scholar: Lookup
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  • Journal Article
  • Research Support
  • Non-U.S. Gov't

Summary

This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.

The research explores the use of power spectral analysis of heart rate variability to evaluate the autonomic nervous activity in horses. The study contends that this method aids in understanding the interaction between parasympathetic and sympathetic regulatory activities.

Research Aim and Design

  • The primary goal of this research was to investigate and substantiate the usefulness of power spectral analysis in assessing autonomic nervous activity in horses.
  • The research was predicated on the hypothesis that the spectral analysis of heart rate variability provides crucial quantitative information that reflects the interaction between sympathetic and parasympathetic activities which are two branches of the autonomic nervous system.
  • In order to verify this hypothesis, the researchers collected and analyzed data from a number of biological systems in Thoroughbred horses aged between 3-5 years, including their electrocardiogram, blood pressure, and respiratory waveform.

Research Findings

  • The power spectral analysis of heart rate variability exhibited two major spectral components at both low-frequency (LF) and high-frequency (HF) bands.
  • The highest peak of respiratory variability was evidently present within the high-frequency range, contrasting with the blood pressure variability power spectra, which happened at lower frequencies.
  • The maximum coherence between heart rate and respiratory variabilities and heart rate and blood pressure variabilities occurred at roughly 0.15 Hz and 0.03 Hz respectively, lack distinct differences when compared with the entirety of the analyzed frequencies.

Conclusions and Implications

  • The researchers concluded their study by defining two frequency bands of interest: low frequency (0.01-0.07 Hz) and high frequency (0.07-0.6 Hz).
  • Based on their findings, the researchers assert that power spectral analysis of heart rate variability offers an extremely effective technique for evaluating autonomic nervous activity in horses.
  • The success of this technique could potentially improve future studies or applications targeting the interaction between sympathetic and parasympathetic regulatory systems in horses and possibly other animals as well.

Cite This Article

APA
Kuwahara M, Hashimoto S, Ishii K, Yagi Y, Hada T, Hiraga A, Kai M, Kubo K, Oki H, Tsubone H, Sugano S. (1996). Assessment of autonomic nervous function by power spectral analysis of heart rate variability in the horse. J Auton Nerv Syst, 60(1-2), 43-48. https://doi.org/10.1016/0165-1838(96)00028-8

Publication

Journal of the autonomic nervous system
ISSN: 0165-1838
NlmUniqueID: 8003419
Country: Netherlands
Language: English
Volume: 60
Issue: 1-2
Pages: 43-48

Researcher Affiliations

Kuwahara, M
  • Department of Comparative Pathophysiology, Graduate School of Agriculture and Life Sciences, University of Tokyo, Japan.
Hashimoto, S
    Ishii, K
      Yagi, Y
        Hada, T
          Hiraga, A
            Kai, M
              Kubo, K
                Oki, H
                  Tsubone, H
                    Sugano, S

                      MeSH Terms

                      • Animals
                      • Autonomic Nervous System / physiology
                      • Blood Pressure / physiology
                      • Electrocardiography
                      • Heart Rate / physiology
                      • Horses

                      Citations

                      This article has been cited 31 times.
                      1. Seki N, Tochinai R, Sekizawa SI, Márquez MA, Fukuda K, Ohmura H, Kuwahara M. Preliminary study of heart rate variability in Criollo horses for the elucidation of their neurophysiological characteristics of autonomic nerve function. J Equine Sci 2023 Jun;34(2):55-59.
                        doi: 10.1294/jes.34.55pubmed: 37405067google scholar: lookup
                      2. Mercer MA, Davis JL, McKenzie HC. The Clinical Pharmacology and Therapeutic Evaluation of Non-Steroidal Anti-Inflammatory Drugs in Adult Horses. Animals (Basel) 2023 May 10;13(10).
                        doi: 10.3390/ani13101597pubmed: 37238029google scholar: lookup
                      3. Seganfreddo S, Fornasiero D, De Santis M, Mutinelli F, Normando S, Contalbrigo L. A Pilot Study on Behavioural and Physiological Indicators of Emotions in Donkeys. Animals (Basel) 2023 Apr 25;13(9).
                        doi: 10.3390/ani13091466pubmed: 37174503google scholar: lookup
                      4. Golzari K, Kong Y, Reed SA, Posada-Quintero HF. Sympathetic Arousal Detection in Horses Using Electrodermal Activity. Animals (Basel) 2023 Jan 7;13(2).
                        doi: 10.3390/ani13020229pubmed: 36670768google scholar: lookup
                      5. Ohmura H, Hiraga A. Effect of restraint inside the transport vehicle on heart rate and heart rate variability in Thoroughbred horses. J Equine Sci 2022 Apr;33(1):13-17.
                        doi: 10.1294/jes.33.13pubmed: 35510074google scholar: lookup
                      6. Scopa C, Greco A, Contalbrigo L, Fratini E, Lanatà A, Scilingo EP, Baragli P. Inside the Interaction: Contact With Familiar Humans Modulates Heart Rate Variability in Horses. Front Vet Sci 2020;7:582759.
                        doi: 10.3389/fvets.2020.582759pubmed: 33330706google scholar: lookup
                      7. Aoki T, Itoh M, Chiba A, Kuwahara M, Nogami H, Ishizaki H, Yayou KI. Heart rate variability in dairy cows with postpartum fever during night phase. PLoS One 2020;15(11):e0242856.
                        doi: 10.1371/journal.pone.0242856pubmed: 33237968google scholar: lookup
                      8. Gehlen H, Faust MD, Grzeskowiak RM, Trachsel DS. Association Between Disease Severity, Heart Rate Variability (HRV) and Serum Cortisol Concentrations in Horses with Acute Abdominal Pain. Animals (Basel) 2020 Sep 2;10(9).
                        doi: 10.3390/ani10091563pubmed: 32887514google scholar: lookup
                      9. Mendonça T, Bienboire-Frosini C, Menuge F, Leclercq J, Lafont-Lecuelle C, Arroub S, Pageat P. The Impact of Equine-Assisted Therapy on Equine Behavioral and Physiological Responses. Animals (Basel) 2019 Jul 1;9(7).
                        doi: 10.3390/ani9070409pubmed: 31266217google scholar: lookup
                      10. Rosselot P, Mendonça T, González I, Tadich T. Behavioral and Physiological Differences between Working Horses and Chilean Rodeo Horses in a Handling Test. Animals (Basel) 2019 Jun 29;9(7).
                        doi: 10.3390/ani9070397pubmed: 31261934google scholar: lookup
                      11. Mendonça T, Bienboire-Frosini C, Kowalczyk I, Leclercq J, Arroub S, Pageat P. Equine Activities Influence Horses' Responses to Different Stimuli: Could This Have an Impact on Equine Welfare?. Animals (Basel) 2019 May 29;9(6).
                        doi: 10.3390/ani9060290pubmed: 31146422google scholar: lookup
                      12. Broux B, De Clercq D, Vera L, Ven S, Deprez P, Decloedt A, van Loon G. Can heart rate variability parameters derived by a heart rate monitor differentiate between atrial fibrillation and sinus rhythm?. BMC Vet Res 2018 Oct 25;14(1):320.
                        doi: 10.1186/s12917-018-1650-6pubmed: 30359273google scholar: lookup
                      13. Bun C, Watanabe Y, Uenoyama Y, Inoue N, Ieda N, Matsuda F, Tsukamura H, Kuwahara M, Maeda KI, Ohkura S, Pheng V. Evaluation of heat stress response in crossbred dairy cows under tropical climate by analysis of heart rate variability. J Vet Med Sci 2018 Feb 2;80(1):181-185.
                        doi: 10.1292/jvms.17-0368pubmed: 29225303google scholar: lookup
                      14. Lenoir A, Trachsel DS, Younes M, Barrey E, Robert C. Agreement between Electrocardiogram and Heart Rate Meter Is Low for the Measurement of Heart Rate Variability during Exercise in Young Endurance Horses. Front Vet Sci 2017;4:170.
                        doi: 10.3389/fvets.2017.00170pubmed: 29090214google scholar: lookup
                      15. Ohmura H, Jones JH. Changes in heart rate and heart rate variability as a function of age in Thoroughbred horses. J Equine Sci 2017;28(3):99-103.
                        doi: 10.1294/jes.28.99pubmed: 28955161google scholar: lookup
                      16. Flethøj M, Kanters JK, Pedersen PJ, Haugaard MM, Carstensen H, Olsen LH, Buhl R. Appropriate threshold levels of cardiac beat-to-beat variation in semi-automatic analysis of equine ECG recordings. BMC Vet Res 2016 Nov 28;12(1):266.
                        doi: 10.1186/s12917-016-0894-2pubmed: 27894294google scholar: lookup
                      17. Hiraga A, Sugano S. History of research in Japan on electrocardiography in the racehorse. J Equine Sci 2015;26(1):1-13.
                        doi: 10.1294/jes.26.1pubmed: 25829865google scholar: lookup
                      18. Yoshida M, Onda K, Wada Y, Kuwahara M. Influence of sickness condition on diurnal rhythms of heart rate and heart rate variability in cows. J Vet Med Sci 2015 Mar;77(3):375-9.
                        doi: 10.1292/jvms.14-0402pubmed: 25648088google scholar: lookup
                      19. Hesselkilde EZ, Almind ME, Petersen J, Flethøj M, Præstegaard KF, Buhl R. Cardiac arrhythmias and electrolyte disturbances in colic horses. Acta Vet Scand 2014 Oct 2;56(1):58.
                        doi: 10.1186/s13028-014-0058-ypubmed: 25274423google scholar: lookup
                      20. Ropert-Coudert Y, Brooks L, Yamamoto M, Kato A. ECG response of koalas to tourists proximity: a preliminary study. PLoS One 2009 Oct 12;4(10):e7378.
                        doi: 10.1371/journal.pone.0007378pubmed: 19823679google scholar: lookup
                      21. Yamamoto M, Kato A, Ropert-Coudert Y, Kuwahara M, Hayama S, Naito Y. Evidence of dominant parasympathetic nervous activity of great cormorants (Phalacrocorax carbo). J Comp Physiol A Neuroethol Sens Neural Behav Physiol 2009 Apr;195(4):365-73.
                        doi: 10.1007/s00359-009-0414-ypubmed: 19198851google scholar: lookup
                      22. Shoji G, Tochinai R, Sekizawa SI, Kuwahara M. Evaluation of physiological functions and production performance in laying hens in three different housing systems. Poult Sci 2025 Aug;104(8):105256.
                        doi: 10.1016/j.psj.2025.105256pubmed: 40451079google scholar: lookup
                      23. Wienhold S, Bär L, Ringleb Z, Zirpel V, Gomolla A, Denk BF, Volkmer N, Gaertner RJ, Klink ESC, Pruessner JC. The relationship of early life adversity and physiological synchrony within the therapeutic triad in horse-assisted therapy. J Neural Transm (Vienna) 2025 Sep;132(9):1291-1312.
                        doi: 10.1007/s00702-025-02947-7pubmed: 40423728google scholar: lookup
                      24. Galotti A, Eisersiö M, Yngvesson J, Lanatà A, Maglieri V, Palagi E, Baragli P. Rein tension and heart rate variability in horses: an experiment on experience. J Anim Sci 2025 Jan 4;103.
                        doi: 10.1093/jas/skaf146pubmed: 40331242google scholar: lookup
                      25. Wonghanchao T, Sanigavatee K, Poochipakorn C, Huangsaksri O, Chanda M. Dynamic Adaptation of Heart Rate and Autonomic Regulation During Training and Recovery Periods in Response to a 12-Week Structured Exercise Programme in Untrained Adult and Geriatric Horses. Animals (Basel) 2025 Apr 13;15(8).
                        doi: 10.3390/ani15081122pubmed: 40281956google scholar: lookup
                      26. Rankins EM, Faremi BE, Hartmann K, Quinn A, Posada-Quintero HF, McKeever KH, Malinowski K. Heart rate variability responses of horses and veterans with post-traumatic stress disorder to ground-based adaptive horsemanship lessons: a pilot study. Transl Anim Sci 2025;9:txaf019.
                        doi: 10.1093/tas/txaf019pubmed: 40124971google scholar: lookup
                      27. Santosuosso E, Léguillette R, Shoemaker S, Baumwart R, Temple S, Hemmerling K, Kell T, Bayly W. A consort-guided randomized, blinded, controlled clinical trial on the effects of 6 weeks training on heart rate variability in thoroughbred horses. J Vet Intern Med 2025 Jan-Feb;39(1):e17253.
                        doi: 10.1111/jvim.17253pubmed: 39655519google scholar: lookup
                      28. Lertratanachai S, Poochipakorn C, Sanigavatee K, Huangsaksri O, Wonghanchao T, Charoenchanikran P, Lawsirirat C, Chanda M. Cortisol levels, heart rate, and autonomic responses in horses during repeated road transport with differently conditioned trucks in a tropical environment. PLoS One 2024;19(9):e0301885.
                        doi: 10.1371/journal.pone.0301885pubmed: 39241089google scholar: lookup
                      29. Flores JEM, Terrazas A, Lara Sagahon AV, Aleman M. Parasympathetic tone activity, heart rate, and grimace scale in conscious horses of 3 breeds before, during, and after nociceptive mechanical stimulation. J Vet Intern Med 2024 Sep-Oct;38(5):2739-2747.
                        doi: 10.1111/jvim.17174pubmed: 39150630google scholar: lookup
                      30. Poochipakorn C, Wonghanchao T, Sanigavatee K, Chanda M. Stress Responses in Horses Housed in Different Stable Designs during Summer in a Tropical Savanna Climate. Animals (Basel) 2024 Aug 4;14(15).
                        doi: 10.3390/ani14152263pubmed: 39123789google scholar: lookup
                      31. Ishimaru M, Tsuchiya T, Endo Y, Matsui A, Ohmura H, Murase H, Korosue K, Sato F, Taya K. Effects of different winter paddock management of Thoroughbred weanlings and yearlings in the cold region of Japan on physiological function, endocrine function and growth. J Vet Med Sci 2024 Jul 2;86(7):756-768.
                        doi: 10.1292/jvms.24-0083pubmed: 38777756google scholar: lookup
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