Investigation of respiratory and heart rate variability in hypertensive patients

In this paper, in order to examine the effect of respiration on heart rate variability (HRV), signal processing analyses were performed between the signal received from the periodic movement of the chest of respiration and the pulse plethysmograph (PPS) signal, providing the calculation of both the time and frequency behavior of HRV and also including pulse rate information at the same time. Respiration is used as the comparison parameter in both healthy subjects and in hypertensive patients, not only with the time and frequency components of the HRV, but also with the galvanic skin resistance simultaneously taken with body temperature and by calculating these signal changes. In our study, we aim to not only investigate the relationship between hypertension and HRV, but also to investigate the effect of respiration. Hence, in this study, 19 hypertensive patients and 19 healthy controls, who are all women, are used as subjects. As a result of the data received and analyzed from the subjects, HRV both in hypertensive and healthy subjects, the mean value of the high-frequency component and respiratory signal (RSP), and the mean value of the low-frequency/high-frequency ratio accepted as a sympathovagal balance index of the heart rate and RSP are statistically associated.

Investigation of respiratory and heart rate variability in hypertensive patients

In this paper, in order to examine the effect of respiration on heart rate variability (HRV), signal processing analyses were performed between the signal received from the periodic movement of the chest of respiration and the pulse plethysmograph (PPS) signal, providing the calculation of both the time and frequency behavior of HRV and also including pulse rate information at the same time. Respiration is used as the comparison parameter in both healthy subjects and in hypertensive patients, not only with the time and frequency components of the HRV, but also with the galvanic skin resistance simultaneously taken with body temperature and by calculating these signal changes. In our study, we aim to not only investigate the relationship between hypertension and HRV, but also to investigate the effect of respiration. Hence, in this study, 19 hypertensive patients and 19 healthy controls, who are all women, are used as subjects. As a result of the data received and analyzed from the subjects, HRV both in hypertensive and healthy subjects, the mean value of the high-frequency component and respiratory signal (RSP), and the mean value of the low-frequency/high-frequency ratio accepted as a sympathovagal balance index of the heart rate and RSP are statistically associated.

___

  • Conclusion
  • In future, for a better understanding of the relationship between respiration and HRV, a comparison can be made using different signal processing methods and different parameters. In particular, these operations can be implemented again on patients with respiratory disease.
  • J.P. Saul, D.B. Ronald, H.C. Mind, R.J. Cohen, “Transfer function analysis of autonomic regulation II. Respiratory sinus arrhythmia”, The American Journal of Physiology - Heart and Circulatory Physiology, Vol. 25, pp. 153–161, 1989.
  • L.C. Bernardi, A. Porta, L. Gabutti, P. Sleight, “Modulatory effect of respiration”, Autonomic Neuroscience Basic and Clinical, Vol. 90, pp. 47–56, 2001.
  • M.V. Pitzalis, F. Mastropasqua, F. Massari, A. Passantino, “Effect of respiratory rate on the relationships between RR interval and systolic blood pressure fluctuations: a frequency-dependent phenomenon”, The American Journal of Physiology - Heart and Circulatory Physiology, Vol. 38, pp. 332–339, 1998.
  • T.E. Brown, A.B. Larry, J. Koh, D.L. Eckberg, “Important respiration on human R-R interval power spectra is largely ignored”, Journal of Applied Physiology, Vol. 75, pp. 2310–2317, 1993.
  • M. Poyhonen, S. Syvaoja, J. Hartikainen, E. Ruokonen, J. Takal, “The effect of carbon dioxide, respiratory rate and tidal volume on human heart rate variability”, Acta Anaesthesiologica Scandinavica, Vol. 48, pp. 93–101, 2004.
  • L. Bernardi, J. Wdowczyck-Szulc, C. Valent, S. Castold, C. Passin, G. Spadacini, P. Sleight, “Effects of controlled breathing, mental activity and mental stress with or without verbalization on heart rate variability”, Journal of
  • American College of Cardiology, Vol. 35, pp. 1462–1469, 2000.
  • G. Strauss-Blasche, M. Moser, M. Voica, D.R. McLeod, N. Klammer, W. Marktl, “Relative timing of inspiration and expiration affects respiratory sinus arrhythmia”, Clinical and Experimental Pharmacology and Physiology, Vol.
  • 27, pp. 601–606, 2000.
  • J.D. Schipke, M. Pelzer, G. Arnold, “Effect of respiration rate on short-term heart rate variability”, Journal of Clinical and Basic Cardiology, Vol. 2, pp. 92–94, 1999.
  • I.A. Mohamed Omar, S.A. Mohamed, “Evaluation of the analytic representation of long-record ECG and its HRV signals for congestive heart failure classification”, 28th National Radio Science Conference, pp. 1–8, 2011.
  • ESC/NASPE (European Society of Cardiology/North American Society of Pacing and Electrophysiology) Task Force, “Heart rate variability: standards of measurements, physiological interpretation, and clinical use”, Circula- tion, Vol. 93, pp. 1043–1065, 1996.
  • E.H. Hon, S.T. Lee “Electronic evaluations of the fetal heart rate patterns preceding fetal death, further observa- tions”, American Journal of Obstetrics and Gynecology, Vol. 87, pp. 814–826, 1965.
  • M. Piepoli, P. Sleight, S. Leuzzi, F. Valle, G. Spadacini, C. Passino, J.A. Johnston, L. Benardi, “Origin of respiratory sinus arrhythmia in conscious humans an important role for the arterial carotid baroreceptor”, Circulation, Vol. 95,
  • pp. 1813–1821, 1997.
  • A. Melcher, “Respiratory sinus arrhythmia in man. A study in heart rate regulating mechanisms”, Acta Physiologica Scandinavica, Vol. 435, pp. 1–31, 1976.
  • J.S. Wu, F.H. Lu, Y.C. Yang, T.S. Lin, J.J. Chen, C.H. Wu, Y.H. Huang, C.J. Chang, “Epidemiological study on the effect of pre-hypertension and family history of cardiac autonomic function”, Journal of American College of
  • Cardiology, Vol. 51, pp. 1896–1901, 2008.
  • D.R. Seals, N.O. Suwarno, M.J. Joyner, C. Iber, J.G. Copeland, J.A. Dempsey, “Respiratory modulation of muscle sympathetic nerve activity in intact and lung denervated humans”, Circulation Research, Vol. 72, pp. 440–454, 1993.
  • N. Sasano, A.E. Vesely, J. Hayano, H. Sasano, R. Somogyi, D. Preiss, K. Miyasaka, H. Katsuya, S. Iscoe, J.A. Fisher, “Direct effect of PaCO2on respiratory sinus arrhythmia in conscious humans”, The American Journal of Physiology - Heart and Circulatory Physiology, Vol. 282, pp. 973–976, 2002.
  • F. Yasuma, J. Hayano, “Respiratory sinus arrhythmia: why does the heartbeat synchronize with respiratory rhythm?”, Chest, Vol. 25, pp. 683–690, 2004.
  • M.A. Cohen, M. Taylor, “Short-term cardiovascular oscillations in man: measuring and modelling the physiologies”, Journal of Physiology, Vol. 542, pp. 669–683, 2002.
  • Q.A. Zhang, A.I. Manriquez, C.Y. Medigue Papelier, M. Sorine, “An algorithm for robust and efficient location of T-wave ends in electrocardiograms”, IEEE Transactions on Biomedical Engineering, Vol. 53, pp. 2544–2552, 2006.
  • I.C. Christie, “Multivariate discrimination of emotion-specific autonomic nervous system activity”, MSc, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA, 2002.
  • M.H. Asyali, “Discrimination power of long-term heart rate variability measures”, Proceedings of the 25th Annual International Conference of the IEEE Engineering Medicine and Biology Society, pp. 200–203, 2003.
  • J.G. Proakis, D.G. Manolakis, Digital Signal Processing Principles, Algorithms, and Applications, Upper Saddle River, NJ, USA, Prentice Hall, 1996.
Turkish Journal of Electrical Engineering and Computer Science-Cover
  • ISSN: 1300-0632
  • Yayın Aralığı: Yılda 6 Sayı
  • Yayıncı: TÜBİTAK
Sayıdaki Diğer Makaleler

Adaptive network-based inference system models on multiband patch antenna design

Erdem DEMİRCİOĞLU, Murat Hüsnü SAZLI, Orhan ŞENGÜL, Şehabeddin Taha ˙IMECİ, Hakkı Alparslan ILGIN

Enhancing sliding mode control with proportional feedback and feedforward: an experimental investigation on speed sensorless control of PM DC motor drives

Mehmet DAL

Control of oxygen excess ratio in a PEM fuel cell system using high-order sliding-mode controller and observer

Seyed Mehdi RAKHTALA, Abolfazl Ranjbar NOEI, Reza GHADERI, Elio USAI

A new systematic and flexible method for developing hierarchical decision-making models

Ulaş BELDEK, Mehmet Kemal LEBLEBİCİOĞLU

Designing and implementing a reliable thermal monitoring system based on the 1-wire protocol on FPGA for a LEO satellite

Reza Omidi GOSHEBLAGH, Karim MOHAMMADI

Simulation of locating buried objects via fringe pattern-based measurements in an optical fiber sensor-integrated continuous-wave ground-penetrating radar system

Asaf Behzat ŞAHİN, Hatice Gonca BULUR

Investigation of respiratory and heart rate variability in hypertensive patients

Ramazan ALDEMİR, Mahmut TOKMAKÇI

Mersenne twister-based RFID authentication protocol

Mehmet Hilal ÖZCANHAN, Gökhan DALKILIÇ

Design and implementation of IR and laser-based electronic ciphering systems

Feyzi AKAR, Osman AŞKIN

MRAS-based sensorless speed backstepping control for induction machine, using a flux sliding mode observer

Mohamed MOUTCHOU, Ahmed ABBOU, Hassan MAHMOUDI