References
- [1] Ferris, J. (2010). The brain generates an electric field that influences its own activity. Scientific American Mind, 21 (10).
- [2] Unakafov, A. (2009). Analysis and modeling of the galvanic skin response spontaneous component in the context of intelligent biofeedback systems development. Measurement Science Review, 9 (2), 36-41.10.2478/v10048-009-0006-6
- [3] Surkov, V., Hayakawa, M. (2014). Ultra and Extremely Low Frequency Electromagnetic Fields. Springer.10.1007/978-4-431-54367-1
- [4] International Commission on Non-Ionizing Radiation Protection (ICNIRP). (2009). Exposure to High Frequency Electromagnetic Fields, Biological Effects and Health Consequences (100 kHz - 300 GHz): Review of the Scientific Evidence on Dosimetry, Biological Effects, Epidemiological Observations, and Health Consequences Concerning Exposure to High Frequency Electromagnetic Fields (100 kHz - 300 GHz). ICNIRP, ISBN 978-3-934994-10-2.
- [5] Prechter, R. (1999). The Wave Principle of Human Social Behavior and the New Science of Socionomics. New Classics Library.
- [6] Miller, R.A., Miller, I. (2003). The Schumann’s resonances and human psychobiology. Nexus Magazine, 10 (3).
- [7] Urban, R., Holcner, V. (2010). Educating for the future challenges in military education at the beginning of the 21st century. In Securitate şi apărare europeană în contextul crizei economico-financiare. Bucharest, Romania: Editura Universităţii Naţionale de Apărare “Carol I”, ISBN 978-973-663-809-1, 128-135.
- [8] Falkenstein, M., Hoormann, J., Christ, S., Hohnsbein, J. (2000). ERP components on reaction errors and their functional significance: A tutorial. Biological Psychology, 51 (2-3), 87-107.10.1016/S0301-0511(99)00031-9
- [9] Thought Technology Ltd. Operations manual.
- [10] MacLeod, C.M. (1992). The Stroop task: The “gold standard” of attentional measures. Journal of Experimental Psychology: General, 121 (1), 12-14.10.1037/0096-3445.121.1.12
- [11] Hanzelka, M., Dan, J., Fiala, P., Steinbauer, M., Holcner, V. (2015). Experiments with sensing and evaluation of ionosphere changes and their impact on the human organism. In MEASUREMENT 2015: 10th International Conference on Measurement. Bratislava, Slovak Republic: Institute of Measurement Science, Slovak Academy of Sciences, 173-176.
- [12] McCraty, R. (2010). Coherence: Bridging personal, social and global health. Alternative Therapies in Health and Medicine, 16 (4), 10-24.
- [13] NASA. (2015). The solar wind. http://solarscience.msfc.nasa.gov/SolarWind.shtml
- [14] Krampen, G. (2006). Änderungssensitive Symptomliste zu Entspannungserleben, Wohlbefinden, Beschwerden und Problembelastungen (ASS-SYM). Göttingen: Hogrefe.
- [15] Dan, J. (2009). Lüscher – Color – Diagnostik. Tschechische Version. In Lüscher – Color – Diagnostik. Brunnen/Schweiz, 1.-4.10.2009. 2009.
- [16] Štastný, P. (2015). Solar Activity : Analytical Software in xls. Brno.
- [17] Berens, L., Nardi, D. (1999). The Sixteen Personality Types: Descriptions for Self-Discovery. Radiance House.
- [18] Dan, J., Edelmann, A. (2013). Max Lüschers Color Test.
- [19] Woodworth, R.S., Schlosberg, H. (1959). Experimentálna psychológia (Experimental Psychology). Bratislava, Slovak Republic: VEDA, the Publishing House of the Slovak Academy of Sciences, 149-176. (in Slovak)
- [20] McCraty, R., Atkinson, M., Tiller, W.A., Rein, G., Watkins, A.D. (1995). The effects of emotions on short-term power spectrum analysis of heart rate variability. American Journal of Cardiology, 76 (14), 1089-1093.10.1016/S0002-9149(99)80309-9
- [21] Umetani, K., Singer, D.H., McCraty, R., Atkinson, M. (1998). Twenty-four hour time domain heart rate variability and heart rate: Relations to age and gender over nine decades. Journal of the American College of Cardiology, 31 (3), 593-601.10.1016/S0735-1097(97)00554-8
- [22] Levy, B.R., Slade, M.D., Kunkel, S.R., Kasl, S.V. (2002). Longevity increased by positive self-perceptions of aging. Journal of Personality and Social Psychology, 83 (2), 261-270.10.1037/0022-3514.83.2.261
- [23] Lindmark, S., Lonn, L., Wiklund, U., Tufvesson, M., Olsson, T., Eriksson, J.W. (2005). Dysregulation of the autonomic nervous system can be a link between visceral adiposity and insulin resistance. Obesity Research, 13 (4), 717-728.10.1038/oby.2005.81
- [24] Saul, J.P., Arai, Y., Berger, R.D., Lilly, L.S., Colucci, W.S., Cohen, R.J. (1988). Assessment of autonomic regulation in chronic congestive heart failure by heart rate spectral analysis. American Journal of Cardiology, 61 (15), 1292-1299.10.1016/0002-9149(88)91172-1
- [25] Beauchaine, T. (2001). Vagal tone, development, and Gray’s motivational theory: Toward an integrated model of autonomic nervous system functioning in psychopathology. Development and Psychopathology, 13 (2), 183-214.10.1017/S095457940100201211393643
- [26] Thayer, J.F., Hansen, A.L., Saus-Rose, E., Johnsen, B.H. (2009). Heart rate variability, prefrontal neural function, and cognitive performance: The neurovisceral integration perspective on self-regulation, adaptation, and health. Annals of Behavioral Medicine, 37 (2), 141-153.10.1007/s12160-009-9101-z19424767
- [27] McCrea, I.W., Jones, T.B., Schlegel, K., Tuomo, N. (1991). COSCAT, a new auroral radar facility on 930 MHz - system description and first results. Annales Geophysicae, 9, 461-469.
- [28] Lehrer, P., Vaschillo, E., Lu, S.E., Eckberg, D. Vaschillo, B., Scardella, A., Habib, R. (2006). Heart rate variability biofeedback: Effects of age on heart rate variability, baroreflex gain, and asthma. Chest, 129 (2), 278-284.10.1378/chest.129.2.27816478842
- [29] Foreman, R. (1997). Organisation of visceral input. In Anesthesia: Biologic Foundations. Lippincott-Raven Publishers, 663-683.
- [30] Siegel, G., Ebeling, B.J., Hofer, H.W., Nolte, J., Roedel, H., Klubendorf, D. (1984). Vascular smooth muscle rhythmicity. In Mechanisms of Blood Pressure Waves. Japan Scientific Societies Press; Springer, 319-338.
- [31] Baselli, G., Cerutti, S., Badilini, F., Biancardi, L., Porta, A., Pagani, M., Lombardi, F., Rimoldi, O., Furlan, R., Malliani, A. (1994). Model for the assessment of heart period variability interactions of respiration influences. Medical and Biological Engineering and Computing, 32 (2), 143-152.10.1007/BF025189118022210
- [32] Phinyomark, A., Limsakul, C., Phukpattaranont, P. (2011). Application of wavelet analysis in EMG feature extraction for pattern classification. Measurement Science Review, 11 (2), 45-52.10.2478/v10048-011-0009-y
- [33] Mishra, P., Singla, S.K. (2013). Artifact removal from biosignal using fixed point ICA algorithm for preprocessing in biometric recognition. Measurement Science Review, 13 (1), 7-11.
- [34] Unakafov, A. (2009). Analysis and modeling of the galvanic skins response spontaneous component in the context of intelligent biofeedback systems development. Measurement Science Review, 9 (2), 36-41.10.2478/v10048-009-0006-6