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Production system in biomedical equipment maintenance application.

Biomedical sciences instrumentation

Abdel-Latif AN.
PMID: 3300797
Biomed Sci Instrum. 1987;23:139-44.

No abstract available.

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Abdel-Latif AN. Production system in biomedical equipment maintenance application. Biomed Sci Instrum. 1987;23:139-44
Abdel-Latif, A. N. (1987). Production system in biomedical equipment maintenance application. Biomedical sciences instrumentation, 23139-44.
Abdel-Latif, A N. "Production system in biomedical equipment maintenance application." Biomedical sciences instrumentation vol. 23 (1987): 139-44.
Abdel-Latif AN. Production system in biomedical equipment maintenance application. Biomed Sci Instrum. 1987;23:139-44. PMID: 3300797.
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[Automated system of referral computer-assisted diagnosis of emergency conditions. Its purpose, structure and use].

Vestnik Akademii meditsinskikh nauk SSSR

Doktorovich AB.
PMID: 3901574
Vestn Akad Med Nauk SSSR. 1985;(7):78-88.

No abstract available.

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Doktorovich AB. Avtomatizirovannaia sistema konsul'tativnoĭ vychislennoĭ diagnostiki neotlozhnykh sostoianii. Naznachenie, Struktura. Primenenie. [Automated system of referral computer-assisted diagnosis of emergency conditions. Its purpose, structure and use]. Vestn Akad Med Nauk SSSR. 1985;(7):78-88
Doktorovich, A. B. (1985). Avtomatizirovannaia sistema konsul'tativnoĭ vychislennoĭ diagnostiki neotlozhnykh sostoianii. Naznachenie, Struktura. Primenenie. [Automated system of referral computer-assisted diagnosis of emergency conditions. Its purpose, structure and use]. Vestnik Akademii meditsinskikh nauk SSSR, (7), 78-88.
Doktorovich, A B. "Avtomatizirovannaia sistema konsul'tativnoĭ vychislennoĭ diagnostiki neotlozhnykh sostoianii. Naznachenie, Struktura. Primenenie." [Automated system of referral computer-assisted diagnosis of emergency conditions. Its purpose, structure and use]. Vestnik Akademii meditsinskikh nauk SSSR vol. ,7 (1985): 78-88.
Doktorovich AB. Avtomatizirovannaia sistema konsul'tativnoĭ vychislennoĭ diagnostiki neotlozhnykh sostoianii. Naznachenie, Struktura. Primenenie. [Automated system of referral computer-assisted diagnosis of emergency conditions. Its purpose, structure and use]. Vestn Akad Med Nauk SSSR. 1985;(7):78-88. Russian. PMID: 3901574.
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Biological image analysis for microscopical diagnosis: the work-station S.A.M. (Shape Analytical Morphometry).

Pathology, research and practice

Pesce Delfino V, Lettini T, Vacca E, Potente F, Ragone P, Ricco R.
PMID: 1409094
Pathol Res Pract. 1992 Jun;188(4):587-92. doi: 10.1016/s0344-0338(11)80061-0.

The S.A.M. (Shape Analytical Morphometry) software system and its related work-station give a generalized and easy-to-handle tool to face a classic and intriguing problem in biomedical morphological diagnosis. What is the shape of an object in a microscopic image?...

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Pesce Delfino V, Lettini T, Vacca E, et al. Biological image analysis for microscopical diagnosis: the work-station S.A.M. (Shape Analytical Morphometry). Pathol Res Pract. 1992;188(4):587-92doi: 10.1016/s0344-0338(11)80061-0.
Pesce Delfino, V., Lettini, T., Vacca, E., Potente, F., Ragone, P., & Ricco, R. (1992). Biological image analysis for microscopical diagnosis: the work-station S.A.M. (Shape Analytical Morphometry). Pathology, research and practice, 188(4), 587-92. https://doi.org/10.1016/s0344-0338(11)80061-0
Pesce Delfino, V, et al. "Biological image analysis for microscopical diagnosis: the work-station S.A.M. (Shape Analytical Morphometry)." Pathology, research and practice vol. 188,4 (1992): 587-92. doi: https://doi.org/10.1016/s0344-0338(11)80061-0
Pesce Delfino V, Lettini T, Vacca E, Potente F, Ragone P, Ricco R. Biological image analysis for microscopical diagnosis: the work-station S.A.M. (Shape Analytical Morphometry). Pathol Res Pract. 1992 Jun;188(4):587-92. doi: 10.1016/s0344-0338(11)80061-0. PMID: 1409094.
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[FOSMED--a file-oriented system for medical diagnosis].

Verhandlungen der Deutschen Gesellschaft fur Innere Medizin

Blomer RJ, Schikora R, Schimetzek H.
PMID: 4616517
Verh Dtsch Ges Inn Med. 1974;80:933-4.

No abstract available.

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Blomer RJ, Schikora R, Schimetzek H. FOSMED - ein File-orientiertes System für medizinische Diagnostik [FOSMED--a file-oriented system for medical diagnosis]. Verh Dtsch Ges Inn Med. 1974;80:933-4
Blomer, R. J., Schikora, R., & Schimetzek, H. (1974). FOSMED - ein File-orientiertes System für medizinische Diagnostik [FOSMED--a file-oriented system for medical diagnosis]. Verhandlungen der Deutschen Gesellschaft fur Innere Medizin, 80933-4.
Blomer, R J, et al. "FOSMED - ein File-orientiertes System für medizinische Diagnostik" [FOSMED--a file-oriented system for medical diagnosis]. Verhandlungen der Deutschen Gesellschaft fur Innere Medizin vol. 80 (1974): 933-4.
Blomer RJ, Schikora R, Schimetzek H. FOSMED - ein File-orientiertes System für medizinische Diagnostik [FOSMED--a file-oriented system for medical diagnosis]. Verh Dtsch Ges Inn Med. 1974;80:933-4. German. PMID: 4616517.
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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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The ringing during the filtering process of the electrocardiogram in the analysis of the high frequency components in the QRS complex.

Journal of electrocardiology

Abboud S.
PMID: 24993144
J Electrocardiol. 2014 Sep-Oct;47(5):761-2. doi: 10.1016/j.jelectrocard.2014.06.004. Epub 2014 Jun 12.

No abstract available.

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Abboud S. The ringing during the filtering process of the electrocardiogram in the analysis of the high frequency components in the QRS complex. J Electrocardiol. 2014;47(5):761-2doi: 10.1016/j.jelectrocard.2014.06.004.
Abboud, S. (2014). The ringing during the filtering process of the electrocardiogram in the analysis of the high frequency components in the QRS complex. Journal of electrocardiology, 47(5), 761-2. https://doi.org/10.1016/j.jelectrocard.2014.06.004
Abboud, Shimon. "The ringing during the filtering process of the electrocardiogram in the analysis of the high frequency components in the QRS complex." Journal of electrocardiology vol. 47,5 (2014): 761-2. doi: https://doi.org/10.1016/j.jelectrocard.2014.06.004
Abboud S. The ringing during the filtering process of the electrocardiogram in the analysis of the high frequency components in the QRS complex. J Electrocardiol. 2014 Sep-Oct;47(5):761-2. doi: 10.1016/j.jelectrocard.2014.06.004. Epub 2014 Jun 12. PMID: 24993144.
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A computer-aided automated methodology for the detection and classification of occlusal caries from photographic color images.

Computers in biology and medicine

Berdouses ED, Koutsouri GD, Tripoliti EE, Matsopoulos GK, Oulis CJ, Fotiadis DI.
PMID: 25932969
Comput Biol Med. 2015 Jul;62:119-35. doi: 10.1016/j.compbiomed.2015.04.016. Epub 2015 Apr 20.

The aim of this work is to present a computer-aided automated methodology for the assessment of carious lesions, according to the International Caries Detection and Assessment System (ICDAS II), which are located on the occlusal surfaces of posterior permanent...

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Berdouses ED, Koutsouri GD, Tripoliti EE, et al. A computer-aided automated methodology for the detection and classification of occlusal caries from photographic color images. Comput Biol Med. 2015;62:119-35doi: 10.1016/j.compbiomed.2015.04.016.
Berdouses, E. D., Koutsouri, G. D., Tripoliti, E. E., Matsopoulos, G. K., Oulis, C. J., & Fotiadis, D. I. (2015). A computer-aided automated methodology for the detection and classification of occlusal caries from photographic color images. Computers in biology and medicine, 62119-35. https://doi.org/10.1016/j.compbiomed.2015.04.016
Berdouses, Elias D, et al. "A computer-aided automated methodology for the detection and classification of occlusal caries from photographic color images." Computers in biology and medicine vol. 62 (2015): 119-35. doi: https://doi.org/10.1016/j.compbiomed.2015.04.016
Berdouses ED, Koutsouri GD, Tripoliti EE, Matsopoulos GK, Oulis CJ, Fotiadis DI. A computer-aided automated methodology for the detection and classification of occlusal caries from photographic color images. Comput Biol Med. 2015 Jul;62:119-35. doi: 10.1016/j.compbiomed.2015.04.016. Epub 2015 Apr 20. PMID: 25932969.
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New electrocardiographic diagnostic criteria for the pathologic R waves in leads V1 and V2 of anatomically lateral myocardial infarction.

Journal of electrocardiology

de Luna AB, Cino J, Goldwasser D, Kotzeva A, Elosua R, Carreras F, Pujadas S, Garcia-Moll X, Santaló M, Fiol M, Bayés-Genís A, Pons-Lladó G, Cinca J.
PMID: 18721647
J Electrocardiol. 2008 Sep-Oct;41(5):413-8. doi: 10.1016/j.jelectrocard.2007.10.002.

AIMS: To study the different QRS patterns in leads V1 and V2 in first inferior, lateral, and combined inferolateral myocardial infarction (MI) to recognize which are the ECG criteria that best define the presence of lesions isolated to the...

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de Luna AB, Cino J, Goldwasser D, et al. New electrocardiographic diagnostic criteria for the pathologic R waves in leads V1 and V2 of anatomically lateral myocardial infarction. J Electrocardiol. 2008;41(5):413-8doi: 10.1016/j.jelectrocard.2007.10.002.
de Luna, A. B., Cino, J., Goldwasser, D., Kotzeva, A., Elosua, R., Carreras, F., Pujadas, S., Garcia-Moll, X., Santaló, M., Fiol, M., Bayés-Genís, A., Pons-Lladó, G., & Cinca, J. (2008). New electrocardiographic diagnostic criteria for the pathologic R waves in leads V1 and V2 of anatomically lateral myocardial infarction. Journal of electrocardiology, 41(5), 413-8. https://doi.org/10.1016/j.jelectrocard.2007.10.002
de Luna, Antoni Bayés, et al. "New electrocardiographic diagnostic criteria for the pathologic R waves in leads V1 and V2 of anatomically lateral myocardial infarction." Journal of electrocardiology vol. 41,5 (2008): 413-8. doi: https://doi.org/10.1016/j.jelectrocard.2007.10.002
de Luna AB, Cino J, Goldwasser D, Kotzeva A, Elosua R, Carreras F, Pujadas S, Garcia-Moll X, Santaló M, Fiol M, Bayés-Genís A, Pons-Lladó G, Cinca J. New electrocardiographic diagnostic criteria for the pathologic R waves in leads V1 and V2 of anatomically lateral myocardial infarction. J Electrocardiol. 2008 Sep-Oct;41(5):413-8. doi: 10.1016/j.jelectrocard.2007.10.002. PMID: 18721647.
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ST-segment depression in aVR as a predictor of culprit artery and infarct size in acute inferior wall ST-segment elevation myocardial infarction.

Journal of electrocardiology

Kanei Y, Sharma J, Diwan R, Sklash R, Vales LL, Fox JT, Schweitzer P.
PMID: 19815231
J Electrocardiol. 2010 Mar-Apr;43(2):132-5. doi: 10.1016/j.jelectrocard.2009.09.003. Epub 2009 Oct 07.

BACKGROUND: ST-segment depression in lead aVR in acute inferior wall ST-segment elevation myocardial infarction (STEMI) has recently been suggested as a predictor of left circumflex (LCx) artery involvement. The purpose of this study is to evaluate the clinical significance...

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Kanei Y, Sharma J, Diwan R, et al. ST-segment depression in aVR as a predictor of culprit artery and infarct size in acute inferior wall ST-segment elevation myocardial infarction. J Electrocardiol. 2009;43(2):132-5doi: 10.1016/j.jelectrocard.2009.09.003.
Kanei, Y., Sharma, J., Diwan, R., Sklash, R., Vales, L. L., Fox, J. T., & Schweitzer, P. (2010). ST-segment depression in aVR as a predictor of culprit artery and infarct size in acute inferior wall ST-segment elevation myocardial infarction. Journal of electrocardiology, 43(2), 132-5. https://doi.org/10.1016/j.jelectrocard.2009.09.003
Kanei, Yumiko, et al. "ST-segment depression in aVR as a predictor of culprit artery and infarct size in acute inferior wall ST-segment elevation myocardial infarction." Journal of electrocardiology vol. 43,2 (2010): 132-5. doi: https://doi.org/10.1016/j.jelectrocard.2009.09.003
Kanei Y, Sharma J, Diwan R, Sklash R, Vales LL, Fox JT, Schweitzer P. ST-segment depression in aVR as a predictor of culprit artery and infarct size in acute inferior wall ST-segment elevation myocardial infarction. J Electrocardiol. 2010 Mar-Apr;43(2):132-5. doi: 10.1016/j.jelectrocard.2009.09.003. Epub 2009 Oct 07. PMID: 19815231.
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[Software development of an image processing program for Mac].

Nihon Hoshasen Gijutsu Gakkai zasshi

Arimura H.
PMID: 21282923
Nihon Hoshasen Gijutsu Gakkai Zasshi. 2010 Dec 20;66(12):1648-54. doi: 10.6009/jjrt.66.1648.

No abstract available.

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Arimura H. [Software development of an image processing program for Mac]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2010;66(12):1648-54doi: 10.6009/jjrt.66.1648.
Arimura, H. (2010). [Software development of an image processing program for Mac]. Nihon Hoshasen Gijutsu Gakkai zasshi, 66(12), 1648-54. https://doi.org/10.6009/jjrt.66.1648
Arimura, Hidetaka. "[Software development of an image processing program for Mac]." Nihon Hoshasen Gijutsu Gakkai zasshi vol. 66,12 (2010): 1648-54. doi: https://doi.org/10.6009/jjrt.66.1648
Arimura H. [Software development of an image processing program for Mac]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2010 Dec 20;66(12):1648-54. doi: 10.6009/jjrt.66.1648. Chinese. PMID: 21282923.
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Automated diagnosis of epilepsy using EEG power spectrum.

Epilepsia

Kerr WT, Anderson A, Lau EP, Cho AY, Xia H, Bramen J, Douglas PK, Braun ES, Stern JM, Cohen MS.
PMID: 22967005
Epilepsia. 2012 Nov;53(11):e189-92. doi: 10.1111/j.1528-1167.2012.03653.x. Epub 2012 Sep 11.

Interictal electroencephalography (EEG) has clinically meaningful limitations in its sensitivity and specificity in the diagnosis of epilepsy because of its dependence on the occurrence of epileptiform discharges. We have developed a computer-aided diagnostic (CAD) tool that operates on the...

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Kerr WT, Anderson A, Lau EP, et al. Automated diagnosis of epilepsy using EEG power spectrum. Epilepsia. 2012;53(11):e189-92doi: 10.1111/j.1528-1167.2012.03653.x.
Kerr, W. T., Anderson, A., Lau, E. P., Cho, A. Y., Xia, H., Bramen, J., Douglas, P. K., Braun, E. S., Stern, J. M., & Cohen, M. S. (2012). Automated diagnosis of epilepsy using EEG power spectrum. Epilepsia, 53(11), e189-92. https://doi.org/10.1111/j.1528-1167.2012.03653.x
Kerr, Wesley T, et al. "Automated diagnosis of epilepsy using EEG power spectrum." Epilepsia vol. 53,11 (2012): e189-92. doi: https://doi.org/10.1111/j.1528-1167.2012.03653.x
Kerr WT, Anderson A, Lau EP, Cho AY, Xia H, Bramen J, Douglas PK, Braun ES, Stern JM, Cohen MS. Automated diagnosis of epilepsy using EEG power spectrum. Epilepsia. 2012 Nov;53(11):e189-92. doi: 10.1111/j.1528-1167.2012.03653.x. Epub 2012 Sep 11. PMID: 22967005; PMCID: PMC3447367.
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The Computerized ECG: Friend and Foe.

The American journal of medicine

Smulyan H.
PMID: 30205084
Am J Med. 2019 Feb;132(2):153-160. doi: 10.1016/j.amjmed.2018.08.025. Epub 2018 Sep 08.

Computerized interpretation of the electrocardiogram (ECG) began in the 1950s when conversion of its analog signal to digital form became available. Since then, automatic computer interpretations of the ECG have become routine, even at the point of care, by...

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Smulyan H. The Computerized ECG: Friend and Foe. Am J Med. 2018;132(2):153-160doi: 10.1016/j.amjmed.2018.08.025.
Smulyan, H. (2019). The Computerized ECG: Friend and Foe. The American journal of medicine, 132(2), 153-160. https://doi.org/10.1016/j.amjmed.2018.08.025
Smulyan, Harold. "The Computerized ECG: Friend and Foe." The American journal of medicine vol. 132,2 (2019): 153-160. doi: https://doi.org/10.1016/j.amjmed.2018.08.025
Smulyan H. The Computerized ECG: Friend and Foe. Am J Med. 2019 Feb;132(2):153-160. doi: 10.1016/j.amjmed.2018.08.025. Epub 2018 Sep 08. PMID: 30205084.
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