Abstract
Heart rate variability biofeedback provides a new technique for the evaluation of autonomic nervous system status and the treatment of cardiovascular diseases. This paper presents a mobile and real-time monitoring healthcare application of heart rate variability biofeedback, referred to as uCoherence. It consists of an automated approach to help people to voluntarily regular the autonomic system via breath control, finding the harmony point in autonomic nervous system and the best resonant frequency in cardiopulmonary system.
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References
Wheat, A.L., Larkin, K.T.: Biofeedback of heart rate variability and related physiology: A critical review. Applied Psychophysiology and Biofeedback 35, 229–242 (2010)
Camm, A.J., Malik, M., Bigger, J.T., Breithardt, G., Cerutti, S., Cohen, R.J., Singer, D.H.: Heart rate variability: standards of measurement, physiological interpretation and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. Circulation 93, 1043–1065 (1996)
Acharya, U.R., Joseph, K.P., Kannathal, N., Lim, C.M., Suri, J.S.: Heart rate variability: a review. Medical and Biological Engineering and Computing 44(12), 1031–1051 (2006)
McCraty, R.: Heart Rhythm Coherence: An Emerging Area of Biofeedback. J. Biofeedback 30(1), 23–25 (2002)
Miller, N.E., Carmona, A.: Modification of a visceral response, salivation in thirsty dogs, by instrumental training with water reward. Journal of Comparative and Physiological Psychology 63(1), 1–6 (1967)
Childre, D., McCraty, R.: Psychophysiological correlates of spiritual experience. Biofeedback 29(4), 13–17 (2006)
McCraty, R., Atkinson, M., Tiller, W.A., Rein, G., Watkins, A.D.: The effects of emotions on short-term power spectrum analysis of heart rate variability. The American Journal of Cardiology 76(14), 1089–1093 (1995)
Lehrer, P.M., Vaschillo, E., Vaschillo, B., Lu, S.E., Scardella, A., Siddique, M., Habib, R.H.: Biofeedbacktreatment for asthma. Chest Journal 126(2), 352–361 (2004)
Lehrer, P., Vaschillo, E., Vaschillo, B.: Heartbeat synchronizes with respiratory rhythm only under specific circumstances. Chest Journal 126(4), 1385–1387 (2004)
Heart Math, CES 2013, http://www.heartmathstore.com/item/6400/inner-balance
Moss, D.: Heartratevariabilitytraining, http://www.bfe.org/articles/hrv.pdf
Zhu, Q., Zheng, F., Xie, Y.Y.: Respiratory training biofeedback system. In: International Conference Electronics, Communications and Control, ICECC, pp. 3915–3918. IEEE (September 2011)
Evgeny, G., Bronya, V., Paul, M.L.: Characteristics of resonance in heart rate variability stimulated by biofeedback. Applied Psychophysiology and Biofeedback 31, 129–142 (2006)
Li, A., Wang, S., Zhen, H., Ji, L., Wu, J.: A novel abnormal ECG beats detection method, Computer and Automation Engineering. In: The 2nd International Conference, ICCAE, pp. 47–51 (2010)
Moss, D.: Heart rate variability and biofeedback. Psychophysiology Today: The Magazine for Mind-Body Medicine 1, 4–11 (2004)
Warliah, L., Rohman, A.S., Rusmin, P.H.: Model Development of Air Volume and Breathing Frequency in Human Respiratory System Simulation. Procedia-Social and Behavioral Sciences 67, 260–268 (2012)
Lehrer, P.M., Vaschillo, E., Vaschillo, B.: Resonant frequency biofeedback training to increase cardiac variability: Rationale and manual for training. Applied Psychophysiology and Biofeedback 25(3), 177–191 (2000)
Abbasbandy, S.: A new modification of false position method based on homotopy analysis method. Applied Mathematics and Mechanics 29(2), 223–228 (2008)
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Xiong, M., He, R., Ji, L., Wu, J. (2013). A Biofeedback System for Mobile Healthcare Based on Heart Rate Variability. In: Zeng, D., et al. Smart Health. ICSH 2013. Lecture Notes in Computer Science, vol 8040. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39844-5_11
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DOI: https://doi.org/10.1007/978-3-642-39844-5_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-39843-8
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