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Electric Fields of the Brain: The Neurophysics of EEG

Fermaglich, Joseph·1982·JAMA: The Journal of the American Medical Association

Abstract

Computer technology is widely used to process biomedical information. Indeed, electrodiagnostic studies of heart, nervous system, and blood flow as well as radiographic procedures are dependent on computer assistance. Clinical electroencephalography, by contrast, remains largely a test, the interpretation of which must be done the old-fashioned way—by people. In their book the authors present mathematical, physical, physiological, engineering, and medical facts in an effort to diminish a communication gap amongst electroencephalographers, engineers, and physicists. In fact, their book is directed to practitioners of each of those disciplines. The book focuses on the various aspects of electrophysiology of the brain. The first three chapters concern the relationship of physics and electrophysiology, while subsequent chapters are related to potentials in different biologic media and the generation and recording of cerebral electrical activity. Computer methodology applicable to electroencephalography is mentioned. This book has considerable value in its presentation of clinical, theoretical, and speculative

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Metadata

Authors
Fermaglich, J.
Venue
JAMA: The Journal of the American Medical Association
Published
1982-04-02
Volume
247
Issue
13
Pages
1879
ISSN
  • 0002-9955 (ISSN-L)
  • 0098-7484
OpenAlex
W2021102124
Cited by
1,543
References
0
FWCI
4.40
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Electric Fields of the Brain: The Neurophysics of EEG. https://app.cochat.ai/papers/10.1001/jama.1982.03320380071046
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Fermaglich, J. (1982). Electric Fields of the Brain: The Neurophysics of EEG. JAMA: The Journal of the American Medical Association. https://doi.org/10.1001/jama.1982.03320380071046

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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.