How Mindset Stimulating Media Affect Blood Pressure

Christina Pahl, Faris Yahya, Nashuha Omar, Nabillah Athirah, Friedhelm Pohl, Eko Supriyanto


The objective of this experiment was to demonstrate how blood pressure responses in human subjects to the consumption of mindset stimulating media. There is little evidence concerning a clear demonstration of blood pressure control in human subjects based on different emotion evoking information. We create the hypothesis that mindset shows significance in blood pressure control as a method to prevent hypertension in a domestic scale. High blood pressure is globally a major health problem and a growing obesity related health factor accounting nearly 30 % of the world population. In order to control hypertension we used mindset influencing information consisting of different emotion stimulating media, which were presented to 15 subjects while blood pressure was continuously measured. The experiment was conducted in a weekly frequency within 6 months. It can be obtained that 42 % of high blood pressure subjects showed the increment of systolic values. For diastolic values, the increment was recorded as 37 %. In total, 44 % of all subjects showed the ability to decrease their systole and 39 % were able to change diastole values while consuming presented media. Lastly, some subjects were able to maintain their blood pressure after the experiment ended with a distribution of 14 % for systolic and 24 % for diastolic values. In conclusion, it can be stated that hypertension subjects are able to reduce their blood pressure during media consumption but are not successful in stabilizing their blood pressure after the interaction with blood pressure influencing media ended. In contrast to that, normal blood pressure subjects require less time to return to their normal blood pressure values and therefore, to their normal health condition. These results are an introduction to a novel method in preventive hypertension control based on home based media consumption.


Blood pressure, Control, Emotion, Hypertension, Media consumption, Mindset, Obesity related disease

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Aditya, Y. N., Abduljabbar, H. N., Pahl, C., Wee, L. K., & Supriyanto, E. (2013). Fetal Weight and Gender Estimation using Computer based Ultrasound Images Analysis. International Journal of Computers, 11.

Aditya, Y. N., Pahl, C., & Supriyanto, E. (2014, December). Review and design of a midwife prenatal kit for examinations in developing regions. In Biomedical Engineering and Sciences (IECBES), 2014 IEEE Conference on (pp. 780-785). IEEE.

Aftanas, L. I., Pavlov, S. V., Reva, N. V., & Varlamov, A. A. (2003). Trait anxiety impact on the EEG theta band power changes during appraisal of threatening and pleasant visual stimuli. International Journal of Psychophysiology, 50(3), 205-212.

Ahmadi, H., Nilashi, M., Almaee, A., Soltani, M., Zare, M., Sangar, A. B., ... & Alizadeh, M. (2016). Multi-level Model for the Adoption of Hospital Information System: A Case on Malaysia. Journal of Soft Computing and Decision Support Systems, 3(1), 61-74.

Ahmadi, Hossein, et al. Ranking the macro-level critical success factors of electronic medical record adoption using fuzzy AHP method. International Journal of Innovation and Scientific Research, 2014, 8. Jg., Nr. 1, S. 35-42.

Anderson, J. C., Linden, W., & Habra, M. E. (2005). The importance of examining blood pressure reactivity and recovery in anger provocation research. International Journal of Psychophysiology, 57(3), 159-163.

Barnhofer, T., Chittka, T., Nightingale, H., Visser, C., & Crane, C. (2010). State effects of two forms of meditation on prefrontal EEG asymmetry in previously depressed individuals. Mindfulness, 1(1), 21-27.

Bush, G., Luu, P., & Posner, M. I. (2000). Cognitive and emotional influences in anterior cingulate cortex. Trends in cognitive sciences, 4(6), 215-222.

Cahn, B. R., & Polich, J. (2006). Meditation states and traits: EEG, ERP, and neuroimaging studies. Psychological bulletin, 132(2), 180.

Carels, R. A., Blumenthal, J. A., & Sherwood, A. (2000). Emotional responsivity during daily life: Relationship to psychosocial functioning and ambulatory blood pressure. International Journal of Psychophysiology, 36(1), 25-33.

Carlson, L. E., Speca, M., Patel, K. D., & Goodey, E. (2004). Mindfulness-based stress reduction in relation to quality of life, mood, symptoms of stress and levels of cortisol, dehydroepiandrosterone sulfate (DHEAS) and melatonin in breast and prostate cancer outpatients. Psychoneuroendocrinology, 29(4), 448-474.

Chandran, K. B., Rittgers, S. E., & Yoganathan, A. P. (2012). Biofluid mechanics: the human circulation. CRC Press.

Crum, A. J., & Langer, E. J. (2007). Mind-Set Matters Exercise and the Placebo Effect. Psychological Science, 18(2), 165-171.

Davydov, D. M., Stewart, R., Ritchie, K., & Chaudieu, I. (2012). Depressed mood and blood pressure: The moderating effect of situation-specific arousal levels. International Journal of Psychophysiology, 85(2), 212-223.

Elyazgi, M., Nilashi, M., Ibrahim, O., Rayhan, A., & Elyazgi, S. (2016). Evaluating the Factors Influencing E-book Technology Acceptance among School Children Using TOPSIS Technique. Journal of Soft Computing and Decision Support Systems, 3(2), 11-25.

Everly Jr, G. S., & Lating, J. M. (2012). A clinical guide to the treatment of the human stress response. Springer Science & Business Media.

Fell, J., Axmacher, N., & Haupt, S. (2010). From alpha to gamma: Electrophysiological correlates of meditation-related states of consciousness. Medical hypotheses, 75(2), 218-224.

Gray, H., & Goss, C. M. (1974). Anatomy of the human body. American Journal of Physical Medicine & Rehabilitation, 53(6), 293.

Hallas, C. N., Thornton, E. W., Fabri, B. M., Fox, M. A., & Jackson, M. (2003). Predicting blood pressure reactivity and heart rate variability from mood state following coronary artery bypass surgery. International journal of psychophysiology, 47(1), 43-55.

Jalil, N., Pahl, C., Kadiman, S., & Supriyanto, E. (2014, December). Design and implementation of a telehealth platform for prenatal management in rural and remote areas. In Biomedical Engineering and Sciences (IECBES), 2014 IEEE Conference on (pp. 889-894). IEEE.

James, P. A., Oparil, S., Carter, B. L., Cushman, W. C., Dennison-Himmelfarb, C., Handler, J., ... & Ortiz, E. (2014). 2014 evidence-based guideline for the management of high blood pressure in adults: report from the panel members appointed to the Eighth Joint National Committee (JNC 8). Jama, 311(5), 507-520.

Jeffree, A. I. B., Pahl, C., Abduljabbar, H. N., Ramli, I., Aziz, N. I. B., Myint, Y., & Supriyanto, E. (2013). Cervical Segmentation in Ultrasound Image Using Level-set Algorithm.

Jevning, R., Wallace, R. K., & Beidebach, M. (1992). The physiology of meditation: a review. A wakeful hypometabolic integrated response. Neuroscience & Biobehavioral Reviews, 16(3), 415-424.

Kabat‐Zinn, J. (2003). Mindfulness‐based interventions in context: past, present, and future. Clinical psychology: Science and practice, 10(2), 144-156.

Kho, D. C., Pahl, C., Supriyanto, E., Myint, Y. M., Faudzi, A. A., & Salim, M. I. (2014). Motorized remote control of Transesophageal Echocardiography (TEE) probe tip: Preliminary testing. View in Article.

Kitayama, S., Park, J., Boylan, J. M., Miyamoto, Y., Levine, C. S., Markus, H. R., ... & Ryff, C. D. (2015). Expression of Anger and Ill Health in Two Cultures An Examination of Inflammation and Cardiovascular Risk. Psychological science, 0956797614561268.

Lam, J., Pahl, C., Abduljabbar, H. N., & Supriyanto, E. (2014). Measurement and Analysis of the Diameter of Appendix Based on Ultrasound Images. International Journal of Bioscience, Biochemistry and Bioinformatics, 4(2), 130.

Lane, J. D., Seskevich, J. E., & Pieper, C. F. (2007). Brief meditation training can improve perceived stress and negative mood. Alternative Therapies in Health and Medicine, 13(1), 38.

Larkin, K. T. (2008). Stress and hypertension: examining the relation between psychological stress and high blood pressure. Yale university press.

Levick, J. R. (1991). An introduction to cardiovascular physiology. Butterworth-Heinemann.

Lewis, R. S., Weekes, N. Y., & Wang, T. H. (2007). The effect of a naturalistic stressor on frontal EEG asymmetry, stress, and health. Biological psychology, 75(3), 239-247.

Masserman, J. H. (1941). Is the hypothalamus a center of emotion?. Psychosomatic Medicine, 3(1), 3-25.

Ng, M., Fleming, T., Robinson, M., Thomson, B., Graetz, N., Margono, C., ... & Gupta, R. (2014). Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013: a systematic analysis for the Global Burden of Disease Study 2013. The Lancet, 384(9945), 766-781.

Nilashi, M., Bagherifard, K., Ibrahim, O., Janahmadi, N., & Alizadeh, H. (2012). A multi-criteria approach to the evaluation of Malaysian government portal. Journal of theoretical and applied information technology, 40(2), 194-201.

Nilashi, M., Ibrahim, O., Mirabi, V. R., Ebrahimi, L., & Zare, M. (2015). The role of Security, Design and Content factors on customer trust in mobile commerce.Journal of Retailing and Consumer Services, 26, 57-69.

Nordin, N., Ab Rahman, N. S., Myint, Y., Aminudin, M., Abduljabbar, H. N., Pahl, C., ... & Supriyanto, E. Wall Thickness Measurement of Colon Based on Ultrasound Image Segmentation.

Pahl, C. (2012a). Novel Method For Autonomous Ultrasound Cervix Scanning (Doctoral Dissertation, Universiti Teknologi Malaysia).

Pahl, C. (2015i). Linear Robot as The Approach towards Individual Abdominal Ultrasound Scanning in Developing Countries?. International Journal of Advances in Telecommunications, Electrotechnics, Signals and Systems, 4(3), 80-89.

Pahl, C., & Supriyanto, E. (2012b). Personalized Cervix Ultrasound Scan Based On Robotic Arm. PSRC-Planetary Scientific Research Center Proceeding.

Pahl, C., & Supriyanto, E. (2015a, August). Design of automatic transabdominal ultrasound imaging system. In Methods and Models in Automation and Robotics (MMAR), 2015 20th International Conference on (pp. 435-440). IEEE.

Pahl, C., & Supriyanto, E. (2015b, August). Guide to fuzzy logic based transesophageal echocardiography motorized probe control. In Methods and Models in Automation and Robotics (MMAR), 2015 20th International Conference on (pp. 892-896). IEEE.

Pahl, C., & Supriyanto, E. (2015j, July). Infrared based clinical landmark determination for ultrasound image acquisition. In Telecommunications and Signal Processing (TSP), 2015 38th International Conference on (pp. 236-240). IEEE.

Pahl, C., & Varadarajan, K. M. (2015c, November). Emotional feedback for service robots using hapto-acoustic interface. In Pattern Recognition Association of South Africa and Robotics and Mechatronics International Conference (PRASA-RobMech), 2015 (pp. 219-224). IEEE.

Pahl, C., Binti Mohammad, N., & Supriyanto, E. (2015d, July). Analysis on the electroretinography response for flickering and current stimulations. In Telecommunications and Signal Processing (TSP), 2015 38th International Conference on (pp. 482-485). IEEE.

Pahl, C., Jeffree, A., Myint, Y., & Supriyanto, E. (2013a). Cervix Segmentation in Ultrasound Data Based on Numerical Technique. In WSEAS International Conference on Biomedicine and Health Engineering (BIHE'13).

Pahl, C., Lam, J., Abduljabbar, H. N., Supriyanto, E., & Myint, Y. M. (2014a). Performance Observation of Gabor Filter for Wall Thickness Measurement of Human Colon Based on Ultrasound Image. International Journal of Information and Electronics Engineering, 4(2), 171.

Pahl, C., Mazle, B., Azzira, H., & Supriyanto, E. (2015e, February). Design of virtual instrument for automatic temperature visualization in magnetic fields using LabVIEW in combination with fiber-optical temperature measurement. In Automation, Robotics and Applications (ICARA), 2015 6th International Conference on (pp. 393-399). IEEE.

Pahl, C., Oon, T. Y., & Supriyanto, E. (2015f, August). Fuzzy system based face tracking for head movement control in progressive health care. In Methods and Models in Automation and Robotics (MMAR), 2015 20th International Conference on (pp. 880-885). IEEE.

Pahl, C., Supriyanto, E., & Detschew, V. (2015g, June). Evaluation of UML modeling tools for clinical pathways used in health information systems. In Information Systems and Technologies (CISTI), 2015 10th Iberian Conference on (pp. 1-6). IEEE.

Pahl, C., Supriyanto, E., Mahmood, N. H. B., & Yunus, J. (2012c, May). Cervix detection using squared error subtraction. In Modelling Symposium (AMS), 2012 Sixth Asia (pp. 121-125). IEEE.

Pahl, C., Zare, M., Ahmad, A. B., Detschew, V., Ammon, D., Lehnert, S., & Supriyanto, E. (2014b). Identification of Quality Parameters for an E-Health Platform in the Federal State of Thuringia in Germany. Journal of Soft Computing and Decision Support Systems, 1(1), 17-23.

Pahl, C., Zare, M., Bordey, L., Satria, M. H., Supriyanto, E., & Hau, Y. W. (2014c). Smartphone Applications in the Support of Weight Reduction and Goal Maintenance. Journal of Soft Computing and Decision Support Systems, 1(1), 12-16.

Pahl, C., Zare, M., Nilashi, M., de Faria Borges, M. A., Weingaertner, D., Detschew, V., ... & Ibrahim, O. (2015h). Role of OpenEHR as an open source solution for the regional modelling of patient data in obstetrics. Journal of biomedical informatics, 55, 174-187.

Pase, M. P., Stough, C., Grima, N. A., Harris, E., Macpherson, H., Scholey, A. B., & Pipingas, A. (2013). Blood pressure and cognitive function the role of central aortic and brachial pressures. Psychological science, 0956797613488602.

Reiff, S., Katkin, E. S., & Friedman, R. (1999). Classical conditioning of the human blood pressure response. International journal of psychophysiology, 34(2), 135-145.

Reva, N. V., Korenyok, V. V., Pavlov, S. V., & Aftanas, L. I. (2008). Oscillatory EEG concomitants of emotional blood pressure reactivity to mental imagery of personally salient events. International Journal of Psychophysiology, 69(3), 201.

Rizqie, Q., Pahl, C., Dewi, D. E. O., Ayob, M. A., Maolana, I., Hermawan, R., ... & Bandung, W. J. (2014). 3D Coordinate Reconstruction From 2D X-Ray Images For Guided Lung Biopsy.

Seng, G. H., Hassan, M. I., Wee, L. K., Hafizah, W. M., Abduljabbar, H. N., Pahl, C., ... & Baigi, E. S. (2013). Comparison of Axillary Region Ultrasound Image Processing Techniques for Measuring Axillary Artery Diameter.

Surakusumah, R. F., Pahl, C., Ayob, M. A., & Supriyanto, E. (2014). Cervix Position Recognition by Template Method using Linear Robot Ultrasound.

Takahashi, T., Murata, T., Hamada, T., Omori, M., Kosaka, H., Kikuchi, M., ... & Wada, Y. (2005). Changes in EEG and autonomic nervous activity during meditation and their association with personality traits. International Journal of Psychophysiology, 55(2), 199-207.

Tan, L., Werne, P., Abduljabba, H. N., Pahl, C., Baigi, M. M., Tan, H. R., ... & Supriyanto, E. (2012). Fetal weight estimation using canny segmented ultrasound images.

Tang, Y. Y., Ma, Y., Fan, Y., Feng, H., Wang, J., Feng, S., ... & Fan, M. (2009). Central and autonomic nervous system interaction is altered by short-term meditation. Proceedings of the national Academy of Sciences, 106(22), 8865-8870.

Toga, A. W., & Thompson, P. M. (2003). Mapping brain asymmetry. Nature Reviews Neuroscience, 4(1), 37-48.

Vadival, G., Hong, O., Sahalan, M., Noori, H., Abduljabbar, C. P., Baigi, M. M., & Supriyanto, E. (2013). Ear Canal Diameter Measurement based on Various Processing Techniques of Ultrasound Images. Ultrasound, 5(7), 8.

Vedhara, K., Miles, J., Bennett, P., Plummer, S., Tallon, D., Brooks, E., ... & Farndon, J. (2003). An investigation into the relationship between salivary cortisol, stress, anxiety and depression. Biological psychology, 62(2), 89-96.

Walach, H., Schmidt, S., Dirhold, T., & Nosch, S. (2002). The effects of a caffeine placebo and suggestion on blood pressure, heart rate, well-being and cognitive performance. International Journal of Psychophysiology, 43(3), 247-260.

Zarate, J., & Pahl, C. (2015, November). Design of a virtual simulator for Transesophageal Echocardiography remote control. In Pattern Recognition Association of South Africa and Robotics and Mechatronics International Conference (PRASA-RobMech), 2015 (pp. 213-218). IEEE.

Zare, M., Pahl, C., Nilashi, M., Salim, N., & Ibrahim, O. (2015). A Review of Semantic Similarity Measures in Biomedical Domain Using SNOMED-CT. Journal of Soft Computing and Decision Support Systems, 2(6), 1-13.


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