Abstract
Treatment for post-stroke depression (PSD) is a very complicated system engineering, and it need quite a long time to see the effect. In this paper, through clinical trials, we adopt the method of heart rate variability biofeedback treatment for PSD patients. Through analysis of clinical trials, we hope to improve the situation of emotion on patients, the autonomic nervous function and reduce the impact by the prognosis of heart rate variability biofeedback, with dynamic observation of indices of variation on heart rate variability biofeedback under pressure/non-pressure, and summary of training scheme for PSD patients. In our research, by activating and enhancing the Baroreceptor Reflex function, it can improve the HRV indices and make mood better. We focused on heart rate variability biofeedback influence on depression and anxiety in clinical trials of its impact and corresponding experimental results is obtained.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Ming-ming, Y.: Relationship among Depression, Anxiety and Possible Factors in Post-stroke Patients: 510 Cases Report. Chinese Journal of Rehabilitation Theory and Practice. 12(6), 498–500 (2006)
Dai-qun, X., Rong, Y., Rong-mei, L., et al.: Analysis of Post-stroke Anxiety Disorders and the Related Factors. Huaxi Medicine 19(1), 133 (2004)
Karavidas, M.K., Lehrer, P.M., Vaschillo, E.G., Vaschillo, B., Humberton, M., Buyske, S., et al.: Preliminary results of an open label study of heart rate variability biofeedback for the treatment of major depression. Applied Psychophysiology and Biofeedback 32, 19–30 (2007)
Zucker, T.L., Samuelson, K.W., Muench, F., Greenberg, M.A., Gevirtz, R.N.: The effects of respiratory sinus arrhythmia biofeedback on heart rate variability and posttraumatic stress disorder symptoms, A pilot study. Applied Psychophysiology & Biofeedback 34, 135–143 (2009)
National Conference on Cerebrovascular Disease Score Standards in Clinical Neurological Deficit for Stroke Patients (1995). Chinese Journal of Neurology, 29(6), 381–383 (1996)
Lehrer, P.M.: Applied psychophysiology: Beyond the boundaries of biofeedback (mending a wall, a brief history of our field, and applications to control of the muscles and cardiorespiratory systems). Applied Psychophysiology and Biofeedback 28(4), 291–304 (2003)
Kleiger, R.E., Miller, J.P., Bigger, J.T., et al.: Decreased heart rate Variability and its association with increased mortality after acute myocardial infarction. Am J Cardiol 59, 256–262 (1987)
Carod Artal, F.J., Gonzalez Gutierrez, J.L., Egido Herrero, J.A., et al.: Post stroke depression: predictive factors at one year follow up. Rev Neurol, 16–31 (2002)
Hayee, M.A., Akhtar, N., Haque, A., et al.: Depression after stroke2analysis of 297 stroke patients. Bangladesh Med Res Counc Bull 27(3), 96–102 (2001)
Nolan, R.P., Kamath, M.V., Floras, J.S., Stanley, J.: Heart rate variability biofeedback as a behavioral neurocardiac intervention to enhance vagal heart control. American Heart Journal 149(6), 1137 (2005)
Dishman, R.K., Nakamura, Y., Garcia, M.E., et al.: Heart rate variability, trait anxiety, an d perceived stress among physically fitmenand women. Int J Psychophysiol 37(2), 121–133 (2000)
Monk, C., Kovelenko, P., Ellman, L.M., et al.: Enhanced stress reactivity in paediatric anxiety disorders, implications for future cardiovascular health. Int J Neumpsychopharmacol 4(2), 199–206 (2001)
Slosh, R.P., Shapiro, P.A., Bagiella, E., et al.: Temporal stability of heart period variability during a resting baseline and in response to psychological challenge. Psyehophysiology 32(2), 191–196 (1995)
Hayanao, J., Sakakibaba, Y., Yamada, A., et al.: Accuracy of assessmena of cardiac vagal tone by heart rate variability in normal subjects. Am J cardiol 67, 199–204 (1991)
Hedman, A.E., Hartikainen, J.E.K., Tahvanainen, K.U.O., et al.: The high frequency component of hear rate variability reflects cardiac parasympathetic modulatin rather than parasympathetic ‘tone’. Acta Physiol Scand 155, 267–273 (1995)
Salahuddin, L., Cho, J., Jeong, M.G., et a1.: Ultra short term analysis of heart rate variability for monitoring mental stress in mobile settings. In: Proceedings of the 29th Annual International Conference of the IEEE, pp. 4656–4659. IEEE EMBS, Lyon (2007)
David, W.W.: Physiological correlates of heart rate variability (HRV) and the subjective assessment of workload and fatigue in-flight crew: a practical study. In: People in Contro1. An International ConfeFence on Human Interfaces in Control Rooms, pp. 159–163. Cockpits and Command Centers, Manchester (2001)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Li, X., Zhang, T., Song, L., Zhang, G., Xing, C. (2015). Heart Rate Variability Biofeedback Treatment for Post-Stroke Depression Patients: A Pilot Study. In: Yin, X., Ho, K., Zeng, D., Aickelin, U., Zhou, R., Wang, H. (eds) Health Information Science. HIS 2015. Lecture Notes in Computer Science(), vol 9085. Springer, Cham. https://doi.org/10.1007/978-3-319-19156-0_8
Download citation
DOI: https://doi.org/10.1007/978-3-319-19156-0_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-19155-3
Online ISBN: 978-3-319-19156-0
eBook Packages: Computer ScienceComputer Science (R0)