Have a personal or library account? Click to login

Effects Of Low Frequency Weak Magnetic Field On The Cardiovascular System Through The Brain Cortex

By:
Open Access
|Mar 2016

References

  1. Vincenzo Di Lazzaro, Fioravante Capone, Francesca Apollonio, “A Consensus Panel Review of Central Nervous System Effects of the Exposure to Low-Intensity Extremely Low-Frequency Magnetic Fields”, Brain Stimulation, Vol.6, No.4, 2013, pp.469-476.10.1016/j.brs.2013.01.004
  2. Corbacio M, Brown S, Dubois S, “Human cognitive performance in a 3 mT power-line frequency magnetic field”, Bioelectromagnetics, Vol.32, No.8, 2011, pp.620-633.10.1002/bem.20676
  3. F. Cogiamanian, A.R. Brunoni, P.S. Boggio, “Non-invasive brain stimulation for the management of arterial hypertension”, Medical Hypotheses, Vol.74, No.2, 2010, pp.332-336.10.1016/j.mehy.2009.08.037
  4. Wei SZ, Xie XJ, Guo GZ, “Effect of rotation magnetic field on free radicals in radiation-injured mice serum”, Journal of Clinical Rehabilitative Tissue Engineering Research, Vol.12, No.22, 2008, pp.4279-4282.
  5. Ghione S, Seppia CD, Mezzasalma L, “Effects of 50 Hz electromagnetic fields on electroencephalographic alpha activity, dental pain threshold and cardiovascular parameters in humans”, Neurosci Lett, Vol.382, No.12,2005, pp.112-7.10.1016/j.neulet.2005.02.072
  6. Tomoyuki Kuwaki, KihwanJu, Mamoru Kumada, “Changes in blood pressure and heart rate by repetitive transcranial magnetic stimulation in rats”,Neuroscience Letters, Vol.329, No.1,2002, pp.57-60.10.1016/S0304-3940(02)00592-X
  7. Capone F, Dileone M, Profice P, “Does exposure to extremely low frequency magnetic fields produce functionalchanges in human brain?”,Journal Neural Transm, 116(3), 2009, pp.257-65.10.1007/s00702-009-0184-219189041
  8. Di Lazzaro V, Ziemann U, Lemon RN, “State of the art: physiology of transcranial motor cortex stimulation”, Brain Stimul, Vol.1, No.4, 2008, pp.345-62.10.1016/j.brs.2008.07.00420633393
  9. Huang Yong hong, Xu Xiao bin, Chen Zhao zhang, “Development and applied experiment of low-frequency magnetic field generate or used for organism cryopreservation”, Transactions of the CSAE, Vol.23, No.8, 2007, pp.150-154.
  10. Cahan A, Ben-Dov IZ, Mekler J, “The role of blood variability in misdiagnosed clinic hypertension”, Hypertension research, Vol.34, No.2, 2011, pp.187-192.10.1038/hr.2010.19021068739
  11. Mena L, Pintos S, Queipo NV, “A reliable index for the prognostic significance of blood pressure variability” Journal of hypertension,Vol.23, No.3, 2005, pp.505-511.10.1097/01.hjh.0000160205.81652.5a15716690
  12. Rafael T. Krmar, Ulla B. Berg, “Blood Pressure Control in Hypertensive Pediatric Renal Transplants: Role of Repeated ABPM Following Transplantation”, American Journal of Hypertension,Vol.21, No.10,2008, pp.1093-1099.10.1038/ajh.2008.25118704114
  13. Ernesto Paoletti, Maurizio Gherzi, Marco Amidone, “Association of Arterial Hypertension With Renal Target Organ Damage in Kidney Transplant Recipients: The Predictive Role of Ambulatory Blood Pressure Monitoring”, Transplantation, Vol.87, No.12, 2009, pp.1864-1869.10.1097/TP.0b013e3181a7677519543066
  14. Lahiri MK, Kannankeril PJ, Goldberger JJ, “Assessment of Autonomic Function in Cardiovascular Disease: Physiological Basis and Prognostic Implications”, Journal of the American College of Cardiology, Vol.51, No.18, 2008, pp.1725-1733.10.1016/j.jacc.2008.01.03818452777
  15. Rizzi M, D’Aloia M, Castagnolo B, “High sensitivity and noise immune method to detect impedance cardiography characteristic points using wavelet transform”, Applied Sci, No.9, 2009, pp.1412-1421.10.3923/jas.2009.1412.1421
  16. Wei MingGuo, “Practical wavelet analysis”, Beijing institute of technology Publishing House, 2005.
  17. Wen PeiZhi, ChenXiao, Wu XiaoJun, “Automatic target segmentation algorithm of GrabCut based on cubic spline interpolation”, Application Research of Computers, 31(7), 2014, pp.2187-2190.
  18. Yi-Bin Yang, Long-Long Feng, Jun Pan, “An optimal method for the power spectrum measurement”, Research in Astron. Astrophys, Vol.9, No.2, 2009, pp. 227-236.10.1088/1674-4527/9/2/012
  19. Li Zheng, Wu Lin-jun, Yang Xiao-dong, “Periodogram and Welch PSD Estimation and Simulation Via Matlab”, Electronics Quality, Vol.10, No.7,2010, pp.15-20.
  20. YuXun-feng, Ma Da-wei, WEI Lin, “Simulation Analysis of Window Function in Power Spectrum Estimation Based on Modified Periodogram”, Computer Simulation, Vol.25, No.10, 2008, pp.111-114.
  21. Yang Xiaoming, JinYujian, Li Yonghong, “MATLAB simulation and analysis of the Welch method in the classical power spectrum estimation”, Electronic Test, Vol.30, No.11, 2011, pp.101-104.
  22. Zhu Zeng-Feng, Zhang Peng-Jie,Wang Pei-Sheng, “Total least-squares based on AR model and its applications”, Science of Surveying and Mapping, Vol.38, No.2, 2013, pp.171-172.
  23. Deng Zehuai, Liu Bobo, Li Yanliang, “Common Power Spectrum Estimation Methods and Matlab Simulation”, Technology Research Database, Vol.27, No.2, 2014, pp.50-52.
  24. [4]XING Wu-qiang, NIU Jin-xin, “Power Spectrum Estimation Based on AR Model”, Modern Electronics Technique,Vol.34, No.7, 2011, pp.49-51.
Language: English
Page range: 50 - 66
Submitted on: Sep 30, 2016
Accepted on: Jan 5, 2016
Published on: Mar 1, 2016
Published by: Professor Subhas Chandra Mukhopadhyay
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2016 Yumiao Ren, Jianbao Zhang, published by Professor Subhas Chandra Mukhopadhyay
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.