The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Magnetically induced electric fields and currents in the circulatory system
Open accessAbstract
Blood flow in an applied magnetic field gives rise to induced voltages in the aorta and other major arteries of the central circulatory system that can be observed as superimposed electrical signals in the electrocardiogram (ECG). The largest magnetically induced voltage occurs during pulsatile blood flow into the aorta, and results in an increased signal at the location of the T-wave in the ECG. Studies involving the measurement of blood pressure, blood flow rate, heart sounds, and cardiac valve displacements have been conducted with monkeys and dogs exposed to static fields up to 1.5 tesla (T) under conditions producing maximum induced voltages in the aorta. Results of these studies gave no indication of alterations in cardiac functions or hemodynamic parameters. Cardiac activity monitored by ECG biotelemetry during continuous exposure of rats to a 1.5-T field for 10 days gave no evidence for any significant changes relative to the 10 days prior to and following exposure. Theoretical modeling of magnetic field interactions with blood flow has included a complete solution of the equation describing the flow of an electrically conductive fluid in the presence of a magnetic field (the Navier-Stokes equation) using the finite element technique. Magnetically induced voltages and current densities as a function of the applied magnetic field strength have been calculated for the aorta and surrounding tissues structures, including the sinoatrial node. Induced current densities in the region of the sinoatrial node are predicted to be >100 mA/m2 at field levels >5 T in an adult human under conditions of maximum electrodynamic coupling with aortic blood flow. Magnetohydrodynamic interactions are predicted to reduce the volume flow rate of blood in the human aorta by a maximum of 1.3%, 4.9%, and 10.4% at field levels of 5, 10, and 15 T, respectively.
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“MRI fields (1.5–3 tesla) induce reversible ECG waveform changes via magnetohydrodynamic effects, that result in altered sinoatrial currents associated with reduced blood flow [23,28,29].”
From The Heart’s Electromagnetic Field in Emotions, Empathy and Human Connection: Biosensor-Derived Insights into Heart–Brain Axis Mechanisms and a Basis for Novel BioMagnetoTherapies (2026) · cites this paper as [28]
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Cites
Finite elements and approximation
Zienkiewicz, O. C., & Morgan, K. (1983) · UCLA Biblioteca de Ingenieria Civil · Cited by 726
Finite elements and approximation
Maw, N. (1984) · Journal of Mechanical Working Technology · doi:10.1016/0378-3804(84)90118-9 · Cited by 517
Finite Element Techniques for Fluid Flow
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Chakeres, D. W., Kangarlu, A., Boudoulas, H. K., et al. (2003) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.10367 · Cited by 161
Tenforde, T. S., Gaffey, C. T., Moyer, B. R., & Budlnger, T. F. (1983) · Bioelectromagnetics · doi:10.1002/bem.2250040102 · Cited by 133
Self-citationMagnetohydrodynamics of blood flow
Keltner, J. R., Roos, M. S., Brakeman, P., et al. (1990) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910160113 · Cited by 120
[Effect of a magnetic field on blood flow].
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Observation of blood flow E.M.F. in externally applied strong magnetic field by surface electrodes
Togawa, T., Okai, O., & Oshima, M. (1967) · Medical & Biological Engineering & Computing · doi:10.1007/bf02474505 · Cited by 79
Change in human cardiac rhythm induced by a 2-T static magnetic field.
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Alterations in the rat electrocardiogram induced by stationary magnetic fields
Gaffey, C. T., & Tenforde, T. S. (1981) · Bioelectromagnetics · doi:10.1002/bem.2250020407 · Cited by 71
Self-citation
Research works printed but not linked: 8
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Cited by
Harnessing the Heart’s Magnetic Field for Advanced Diagnostic Techniques
Elfouly, T., & Alouani, A. (2024) · Sensors · doi:10.3390/s24186017 · Cited by 19
Palantzas, A., & Anagnostouli, M. (2026) · Sensors · doi:10.3390/s26051738 · Cited by 1
“…the aorta during ventricular repolarization would interact with https://doi.org/10.3390/s26051738 the magnetic field via the Lorenz force [23,28,29], while electromagnetic induction effects have been proposed to alter membrane potential dynamics, contributing to excitability states and…”
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Metadata
- Authors
- Tenforde, T. S.
- Affiliations
- National Council on Radiation Protection and Measurements (US)
- Corresponding author
- Tenforde, Thomas S.
- Venue
- Progress in Biophysics and Molecular Biology
- Publisher
- Elsevier BV
- Published
- 2005-02
- Volume
- 87
- Issue
- 2-3
- Pages
- 279-288
- ISSN
- 0079-6107 (ISSN-L)
- OpenAlex
- W2079018023
- Cited by
- 96
- References
- 18
- Citations by year
- 2026: 5 · 2025: 3 · 2024: 2 · 2023: 3 · 2022: 4 · 2021: 1 · 2020: 4 · 2019: 3 · 2017: 10 · 2016: 6 · 2015: 1 · 2014: 3 · 2013: 4 · 2012: 4
- FWCI
- 3.39
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (vor, 5823 d)
- Locations
- Progress in Biophysics and Molecular Biology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Electromagnetic Fields and Biological Effects
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › ECG Monitoring and Analysis
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Keywords
- magnetohydrodynamics, aortic blood flow, sinoatrial node, induced current density, pulsatile blood flow, static magnetic field exposure, cardiac function, hemodynamics, electrodynamic coupling
- MeSH terms
- Animals, Blood Pressure, Cardiovascular System, Dogs, Electrocardiography, Heart Conduction System, Humans, Magnetics, Models, Theoretical, Papio, Rats
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.