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[Non-cephalic reference electrode method in EEG recording. -elimination of ECG artifacts mixed with EEG- (author's transl)].

Iyo denshi to seitai kogaku. Japanese journal of medical electronics and biological engineering

Ishiyama Y, Ebe M, Homma I, Abe Z.
PMID: 7241843
Iyodenshi To Seitai Kogaku. 1980 Sep;18(5):334-40.

No abstract available.

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Ishiyama Y, Ebe M, Homma I, et al. [Non-cephalic reference electrode method in EEG recording. -elimination of ECG artifacts mixed with EEG- (author's transl)]. Iyodenshi To Seitai Kogaku. 1980;18(5):334-40
Ishiyama, Y., Ebe, M., Homma, I., & Abe, Z. (1980). [Non-cephalic reference electrode method in EEG recording. -elimination of ECG artifacts mixed with EEG- (author's transl)]. Iyo denshi to seitai kogaku. Japanese journal of medical electronics and biological engineering, 18(5), 334-40.
Ishiyama, Y, et al. "[Non-cephalic reference electrode method in EEG recording. -elimination of ECG artifacts mixed with EEG- (author's transl)]." Iyo denshi to seitai kogaku. Japanese journal of medical electronics and biological engineering vol. 18,5 (1980): 334-40.
Ishiyama Y, Ebe M, Homma I, Abe Z. [Non-cephalic reference electrode method in EEG recording. -elimination of ECG artifacts mixed with EEG- (author's transl)]. Iyodenshi To Seitai Kogaku. 1980 Sep;18(5):334-40. Japanese. PMID: 7241843.
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Multichannel EEG preprocessing: analogue matrix operations in the study of local effects.

Pharmakopsychiatrie, Neuro-Psychopharmakologie

Hjorth B.
PMID: 419162
Pharmakopsychiatr Neuropsychopharmakol. 1979 Jan;12(1):111-8. doi: 10.1055/s-0028-1094601.

No abstract available.

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Hjorth B. Multichannel EEG preprocessing: analogue matrix operations in the study of local effects. Pharmakopsychiatr Neuropsychopharmakol. 1979;12(1):111-8doi: 10.1055/s-0028-1094601.
Hjorth, B. (1979). Multichannel EEG preprocessing: analogue matrix operations in the study of local effects. Pharmakopsychiatrie, Neuro-Psychopharmakologie, 12(1), 111-8. https://doi.org/10.1055/s-0028-1094601
Hjorth, B. "Multichannel EEG preprocessing: analogue matrix operations in the study of local effects." Pharmakopsychiatrie, Neuro-Psychopharmakologie vol. 12,1 (1979): 111-8. doi: https://doi.org/10.1055/s-0028-1094601
Hjorth B. Multichannel EEG preprocessing: analogue matrix operations in the study of local effects. Pharmakopsychiatr Neuropsychopharmakol. 1979 Jan;12(1):111-8. doi: 10.1055/s-0028-1094601. PMID: 419162.
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Automated morphological analysis by means of dynamic time-warping.

Electroencephalography and clinical neurophysiology

Jansen BH, Huang HC.
PMID: 2578939
Electroencephalogr Clin Neurophysiol. 1985 Mar;60(3):282-4. doi: 10.1016/0013-4694(85)90043-4.

A new technique for the clustering of EEG wave forms is proposed. This method, termed dynamic time-warping (DTW) based clustering, involves the determination of a distance measure by allowing a certain degree of flexibility in the time axes of...

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Jansen BH, Huang HC. Automated morphological analysis by means of dynamic time-warping. Electroencephalogr Clin Neurophysiol. 1985;60(3):282-4doi: 10.1016/0013-4694(85)90043-4.
Jansen, B. H., & Huang, H. C. (1985). Automated morphological analysis by means of dynamic time-warping. Electroencephalography and clinical neurophysiology, 60(3), 282-4. https://doi.org/10.1016/0013-4694(85)90043-4
Jansen, B H, and Huang, H C. "Automated morphological analysis by means of dynamic time-warping." Electroencephalography and clinical neurophysiology vol. 60,3 (1985): 282-4. doi: https://doi.org/10.1016/0013-4694(85)90043-4
Jansen BH, Huang HC. Automated morphological analysis by means of dynamic time-warping. Electroencephalogr Clin Neurophysiol. 1985 Mar;60(3):282-4. doi: 10.1016/0013-4694(85)90043-4. PMID: 2578939.
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An electrode cap tested.

Electroencephalography and clinical neurophysiology

Blom JL, Anneveldt M.
PMID: 6181984
Electroencephalogr Clin Neurophysiol. 1982 Nov;54(5):591-4. doi: 10.1016/0013-4694(82)90046-3.

No abstract available.

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Blom JL, Anneveldt M. An electrode cap tested. Electroencephalogr Clin Neurophysiol. 1982;54(5):591-4doi: 10.1016/0013-4694(82)90046-3.
Blom, J. L., & Anneveldt, M. (1982). An electrode cap tested. Electroencephalography and clinical neurophysiology, 54(5), 591-4. https://doi.org/10.1016/0013-4694(82)90046-3
Blom, J L, and Anneveldt, M. "An electrode cap tested." Electroencephalography and clinical neurophysiology vol. 54,5 (1982): 591-4. doi: https://doi.org/10.1016/0013-4694(82)90046-3
Blom JL, Anneveldt M. An electrode cap tested. Electroencephalogr Clin Neurophysiol. 1982 Nov;54(5):591-4. doi: 10.1016/0013-4694(82)90046-3. PMID: 6181984.
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ElectroEncephaloGraphics: Making waves in computer graphics research.

IEEE computer graphics and applications

Mustafa M, Magnor M.
PMID: 25216478
IEEE Comput Graph Appl. 2014 Nov-Dec;34(6):46-56. doi: 10.1109/MCG.2014.107. Epub 2014 Sep 09.

Electroencephalography (EEG) is a novel modality for investigating perceptual graphics problems. Until recently, EEG has predominantly been used for clinical diagnosis, in psychology, and by the brain-computer-interface community. Researchers are extending it to help understand the perception of visual...

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Mustafa M, Magnor M. ElectroEncephaloGraphics: Making waves in computer graphics research. IEEE Comput Graph Appl. 2014;34(6):46-56doi: 10.1109/MCG.2014.107.
Mustafa, M., & Magnor, M. (2014). ElectroEncephaloGraphics: Making waves in computer graphics research. IEEE computer graphics and applications, 34(6), 46-56. https://doi.org/10.1109/MCG.2014.107
Mustafa, Maryam, and Magnor, Marcus. "ElectroEncephaloGraphics: Making waves in computer graphics research." IEEE computer graphics and applications vol. 34,6 (2014): 46-56. doi: https://doi.org/10.1109/MCG.2014.107
Mustafa M, Magnor M. ElectroEncephaloGraphics: Making waves in computer graphics research. IEEE Comput Graph Appl. 2014 Nov-Dec;34(6):46-56. doi: 10.1109/MCG.2014.107. Epub 2014 Sep 09. PMID: 25216478.
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An extensive review on development of EEG-based computer-aided diagnosis systems for epilepsy detection.

Network (Bristol, England)

Saini J, Dutta M.
PMID: 28537461
Network. 2017;28(1):1-27. doi: 10.1080/0954898X.2017.1325527. Epub 2017 May 24.

Epilepsy is considered as fourth most prominent neurological disorder in the world that can affect people of all age groups. Currently, around 65 million people throughout the world are suffering from epilepsy. It is evident that electroencephalograph (EEG) signals...

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Saini J, Dutta M. An extensive review on development of EEG-based computer-aided diagnosis systems for epilepsy detection. Network. 2017;28(1):1-27doi: 10.1080/0954898X.2017.1325527.
Saini, J., & Dutta, M. (2017). An extensive review on development of EEG-based computer-aided diagnosis systems for epilepsy detection. Network (Bristol, England), 28(1), 1-27. https://doi.org/10.1080/0954898X.2017.1325527
Saini, Jagriti, and Dutta, Maitreyee. "An extensive review on development of EEG-based computer-aided diagnosis systems for epilepsy detection." Network (Bristol, England) vol. 28,1 (2017): 1-27. doi: https://doi.org/10.1080/0954898X.2017.1325527
Saini J, Dutta M. An extensive review on development of EEG-based computer-aided diagnosis systems for epilepsy detection. Network. 2017;28(1):1-27. doi: 10.1080/0954898X.2017.1325527. Epub 2017 May 24. PMID: 28537461.
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Sources of bias in single-trial normalization procedures.

The European journal of neuroscience

Ciuparu A, Mureşan RC.
PMID: 26797876
Eur J Neurosci. 2016 Apr;43(7):861-9. doi: 10.1111/ejn.13179. Epub 2016 Feb 19.

Baseline normalization procedures are essential for the analysis of brain activity. These use statistics of a reference (baseline) period to normalize data along the entire trial (baseline and stimulus periods). A very popular procedure is pseudo z-scoring, traditionally applied...

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Ciuparu A, Mureşan RC. Sources of bias in single-trial normalization procedures. Eur J Neurosci. 2016;43(7):861-9doi: 10.1111/ejn.13179.
Ciuparu, A., & Mureşan, R. C. (2016). Sources of bias in single-trial normalization procedures. The European journal of neuroscience, 43(7), 861-9. https://doi.org/10.1111/ejn.13179
Ciuparu, Andrei, and Mureşan, Raul C. "Sources of bias in single-trial normalization procedures." The European journal of neuroscience vol. 43,7 (2016): 861-9. doi: https://doi.org/10.1111/ejn.13179
Ciuparu A, Mureşan RC. Sources of bias in single-trial normalization procedures. Eur J Neurosci. 2016 Apr;43(7):861-9. doi: 10.1111/ejn.13179. Epub 2016 Feb 19. PMID: 26797876.
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Compressed sensing for bioelectric signals: a review.

IEEE journal of biomedical and health informatics

Craven D, McGinley B, Kilmartin L, Glavin M, Jones E.
PMID: 24879647
IEEE J Biomed Health Inform. 2015 Mar;19(2):529-40. doi: 10.1109/JBHI.2014.2327194. Epub 2014 May 29.

This paper provides a comprehensive review of compressed sensing or compressive sampling (CS) in bioelectric signal compression applications. The aim is to provide a detailed analysis of the current trends in CS, focusing on the advantages and disadvantages in...

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Craven D, McGinley B, Kilmartin L, et al. Compressed sensing for bioelectric signals: a review. IEEE J Biomed Health Inform. 2014;19(2):529-40doi: 10.1109/JBHI.2014.2327194.
Craven, D., McGinley, B., Kilmartin, L., Glavin, M., & Jones, E. (2015). Compressed sensing for bioelectric signals: a review. IEEE journal of biomedical and health informatics, 19(2), 529-40. https://doi.org/10.1109/JBHI.2014.2327194
Craven, Darren, et al. "Compressed sensing for bioelectric signals: a review." IEEE journal of biomedical and health informatics vol. 19,2 (2015): 529-40. doi: https://doi.org/10.1109/JBHI.2014.2327194
Craven D, McGinley B, Kilmartin L, Glavin M, Jones E. Compressed sensing for bioelectric signals: a review. IEEE J Biomed Health Inform. 2015 Mar;19(2):529-40. doi: 10.1109/JBHI.2014.2327194. Epub 2014 May 29. PMID: 24879647.
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Anticipation of epileptic seizures from standard EEG recordings.

Lancet (London, England)

De Clercq W, Lemmerling P, Van Huffel S, Van Paesschen W.
PMID: 12648996
Lancet. 2003 Mar 15;361(9361):970; author reply 970-1. doi: 10.1016/S0140-6736(03)12754-7.

No abstract available.

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De Clercq W, Lemmerling P, Van Huffel S, et al. Anticipation of epileptic seizures from standard EEG recordings. Lancet. 2003;361(9361):970; author reply 970-1doi: 10.1016/S0140-6736(03)12754-7.
De Clercq, W., Lemmerling, P., Van Huffel, S., & Van Paesschen, W. (2003). Anticipation of epileptic seizures from standard EEG recordings. Lancet (London, England), 361(9361), 970; author reply 970-1. https://doi.org/10.1016/S0140-6736(03)12754-7
De Clercq, W, et al. "Anticipation of epileptic seizures from standard EEG recordings." Lancet (London, England) vol. 361,9361 (2003): 970; author reply 970-1. doi: https://doi.org/10.1016/S0140-6736(03)12754-7
De Clercq W, Lemmerling P, Van Huffel S, Van Paesschen W. Anticipation of epileptic seizures from standard EEG recordings. Lancet. 2003 Mar 15;361(9361):970; author reply 970-1. doi: 10.1016/S0140-6736(03)12754-7. PMID: 12648996.
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No, we should not treat the EEG because most EEGs read as epileptiform are really normal.

Epilepsy & behavior : E&B

Benbadis SR.
PMID: 19879196
Epilepsy Behav. 2010 Jan;17(1):134; author reply 135. doi: 10.1016/j.yebeh.2009.10.009. Epub 2009 Oct 29.

No abstract available.

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Benbadis SR. No, we should not treat the EEG because most EEGs read as epileptiform are really normal. Epilepsy Behav. 2009;17(1):134; author reply 135doi: 10.1016/j.yebeh.2009.10.009.
Benbadis, S. R. (2010). No, we should not treat the EEG because most EEGs read as epileptiform are really normal. Epilepsy & behavior : E&B, 17(1), 134; author reply 135. https://doi.org/10.1016/j.yebeh.2009.10.009
Benbadis, Selim R. "No, we should not treat the EEG because most EEGs read as epileptiform are really normal." Epilepsy & behavior : E&B vol. 17,1 (2010): 134; author reply 135. doi: https://doi.org/10.1016/j.yebeh.2009.10.009
Benbadis SR. No, we should not treat the EEG because most EEGs read as epileptiform are really normal. Epilepsy Behav. 2010 Jan;17(1):134; author reply 135. doi: 10.1016/j.yebeh.2009.10.009. Epub 2009 Oct 29. PMID: 19879196.
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Portable cost-effective EEG data acquisition system.

Journal of medical engineering & technology

Agarwal N, Nagananda MS, Rahman SM, Sengupta A, Santhosh J, Anand S.
PMID: 21406039
J Med Eng Technol. 2011 Apr-May;35(3):185-90. doi: 10.3109/03091902.2011.560701. Epub 2011 Mar 16.

Neuro-cognitive dysfunctions are common clinical abnormalities found in society. They require objective analysis by various instruments; an important technique involves monitoring electroencephalogram (EEG) signals. To date, EEG machines have been robust, costly and require patients to come to a...

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Agarwal N, Nagananda MS, Rahman SM, et al. Portable cost-effective EEG data acquisition system. J Med Eng Technol. 2011;35(3):185-90doi: 10.3109/03091902.2011.560701.
Agarwal, N., Nagananda, M. S., Rahman, S. M., Sengupta, A., Santhosh, J., & Anand, S. (2011). Portable cost-effective EEG data acquisition system. Journal of medical engineering & technology, 35(3), 185-90. https://doi.org/10.3109/03091902.2011.560701
Agarwal, N, et al. "Portable cost-effective EEG data acquisition system." Journal of medical engineering & technology vol. 35,3 (2011): 185-90. doi: https://doi.org/10.3109/03091902.2011.560701
Agarwal N, Nagananda MS, Rahman SM, Sengupta A, Santhosh J, Anand S. Portable cost-effective EEG data acquisition system. J Med Eng Technol. 2011 Apr-May;35(3):185-90. doi: 10.3109/03091902.2011.560701. Epub 2011 Mar 16. PMID: 21406039.
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Endogenous brain-machine interface based on the correlation of EEG maps.

Computer methods and programs in biomedicine

Ubeda A, Iáñez E, Azorín JM, Perez-Vidal C.
PMID: 23453295
Comput Methods Programs Biomed. 2013 Nov;112(2):302-8. doi: 10.1016/j.cmpb.2013.01.012. Epub 2013 Feb 28.

In this paper, a non-invasive endogenous brain-machine interface (BMI) based on the correlation of EEG maps has been developed to work in real-time applications. The classifier is able to detect two mental tasks related to motor imagery with good...

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Ubeda A, Iáñez E, Azorín JM, et al. Endogenous brain-machine interface based on the correlation of EEG maps. Comput Methods Programs Biomed. 2013;112(2):302-8doi: 10.1016/j.cmpb.2013.01.012.
Ubeda, A., Iáñez, E., Azorín, J. M., & Perez-Vidal, C. (2013). Endogenous brain-machine interface based on the correlation of EEG maps. Computer methods and programs in biomedicine, 112(2), 302-8. https://doi.org/10.1016/j.cmpb.2013.01.012
Ubeda, Andrés, et al. "Endogenous brain-machine interface based on the correlation of EEG maps." Computer methods and programs in biomedicine vol. 112,2 (2013): 302-8. doi: https://doi.org/10.1016/j.cmpb.2013.01.012
Ubeda A, Iáñez E, Azorín JM, Perez-Vidal C. Endogenous brain-machine interface based on the correlation of EEG maps. Comput Methods Programs Biomed. 2013 Nov;112(2):302-8. doi: 10.1016/j.cmpb.2013.01.012. Epub 2013 Feb 28. PMID: 23453295.
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Showing 1 to 12 of 69 entries