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Books on the topic 'EMG control'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Chau, Tom. Pattern recognition of processed EMG signals for two-site myoelectric control. National Library of Canada, 1994.

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2

E, Wajnberg, Hassan S. A, and International Organization for Biological Control of Noxious Animals and Plants., eds. Biological control with egg parasitoids. CAB International on behalf of the International Organization for Biological Control of Noxious Animals and Plants, 1994.

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3

White, Donald R. J. EMI control methodology and procedures. 4th ed. Interference Control Technologies, 1985.

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4

White, Donald R. J. EMI control methodology and procedures. Interference Control Technologies, 1988.

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5

Services, CSR Market Data, ed. SCADA/EMS. PennWell Pub. Co., 1994.

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6

Archambeault, Bruce R. PCB Design for Real-World EMI Control. Springer US, 2002. http://dx.doi.org/10.1007/978-1-4757-3640-3.

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7

Archambeault, Bruce. PCB design for real-world EMI control. Kluwer Academic Publishers, 2002.

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8

Fund, International Monetary. Credibility, capital controls, and the EMS. International Monetary Fund, 1989.

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9

Sithanantham, S., Chandish R. Ballal, S. K. Jalali, and N. Bakthavatsalam, eds. Biological Control of Insect Pests Using Egg Parasitoids. Springer India, 2013. http://dx.doi.org/10.1007/978-81-322-1181-5.

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10

Scott, Polsky S., and American College of Emergency Physicians., eds. Continuous quality improvement in EMS. American College of Emergency Physicians, 1992.

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11

Dale, Burg, ed. Reclaim your nest egg: Take control of your financial future. Bloomberg Press, 2010.

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12

Cônsoli, Fernando L. Egg Parasitoids in Agroecosystems with Emphasis on Trichogramma. Springer Science+Business Media B.V., 2010.

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13

Fleischer, Shelby. Sequential sampling plans for estimating gypsy moth egg mass density. USDA, Forest Service, Northeastern Area, Appalachian Integrated Pest Management, 1992.

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14

LLC, National Health Information, ed. EMR advisor's hospital case studies in EMR/CPOE success. National Health Information, LLC, 2005.

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15

B, Hewitt George, and United States. Agricultural Research Service., eds. Review of factors affecting fecundity, oviposition, and egg survival of grasshoppers in north america. U.S. Dept. of Agriculture, Agricultural Research Service, 1985.

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16

Nelms, R. M. Design of power electronics for TVC & EMA systems: Final report. National Aeronautics and Space Administration, 1994.

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17

Ministry of Agriculture, Fisheries and Food. Code of practice for the control of salmonella in commercial egg laying flocks. MAFF, 1995.

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18

G, Crerar Linda, and Washington (State). Dept. of Agriculture., eds. 2001 gypsy moth eradication project, involving application of the insecticide Bacillus thuringiensis var. kurstaki, trapping of male gypsy moths, and search for egg masses where necessary. Washington State Dept. of Agriculture, 2001.

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19

Das, Swagata, Devashree Tripathy, and Jagdish Lal Raheja. Real-Time BCI System Design to Control Arduino Based Speed Controllable Robot Using EEG. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-3098-8.

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20

Springate, John Raymond Charles. Egg quality and fecundity in rainbow trout: the determining factors and mechanisms of control. University of Aston in Birmingham. Department of Biological Sciences, 1985.

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21

Raquel, Paul F. Striped bass egg and larval monitoring near the proposed Montezuma Slough control structure, 1987. Interagency Ecological Study Program for the Sacramento-San Joaquin Estuary, 1988.

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22

Services, CSR Market Data, ed. Electric utility SCADA/EMS market data report, June, 1994. PennWell Pub. Co., 1994.

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23

Gaier, James R. EMI shields made from intercalated graphite composites. National Aeronautics and Space Administration, 1995.

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24

Gibson, Heather D. Between "new" and "old" EMS: Fiscal policy and capital controls in Southern Europe. University of Kent at Canterbury, 1991.

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25

Eichengreen, Barry. Is there a safe passage to EMU?: Evidence on capital controls and a proposal. Centre for Economic Policy Research, 1994.

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26

Company, PennWell Publishing, ed. Latin America electric utility SCADA/EMS market data report, November 1997 / [prepared by PennWell Publishing Company]. PennWell Pub. Co., 1997., 1997.

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27

Center, Langley Research, ed. A description of the software element of the NASA EME flight tests. National Aeronautics and Space Administration, Langley Research Center, 1996.

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28

Christensen, Neil H. Healthy free range hens: A guide to flock health and disease control for the free range egg farmer. The Author, 1995.

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29

FGBOU, VO. Digital analytics and financial security control of socially significant organizations. INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1863937.

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The monograph is devoted to the formation of the concept of digital financial security analytics. The use of the digital environment and big data analysis tools in the system of monitoring sectoral risks and monitoring the activities of socially significant organizations from the position of the ESG strategy is disclosed. At the same time, financial security is considered as an aggregated result of the action of economic, environmental and social factors in a rapidly changing economy. It covers several key areas that make it possible to digitalize and improve the effectiveness of monitor

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30

M, Nelms R., Shepherd Michael T, and United States. National Aeronautics and Space Administration., eds. Design of a ZVS PWM inverter for a brushless DC motor in an EMA application. National Aeronautics and Space Administration, 1993.

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31

Gopura, R. A. R. C., Kazuo Kiguchi, Thilina Dulantha Lalitharatne, and Dingguo Zhang, eds. EMG/EEG Signals-based Control of Assistive and Rehabilitation Robots. Frontiers Media SA, 2022. http://dx.doi.org/10.3389/978-2-88974-592-0.

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32

Mardiguian, Michelle. Emi Control Methodology and Procedures. Don White Consultants Inc, 1989.

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33

Emi Control in Computers in Microprocessors. Interference Control, 1992.

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34

Emi Control in Computers in Microprocessors. EMF/EMI Control, 1992.

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35

Kalitzin, Stiliyan, and Fernando Lopes da Silva. EEG-Based Anticipation and Control of Seizures. Edited by Donald L. Schomer and Fernando H. Lopes da Silva. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.003.0023.

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Early seizure-prediction paradigms were based on detecting electroencephalographic (EEG) features, but recent approaches are based on dynamic systems theory. Methods that attempted to detect predictive features during the preictal period proved difficult to validate in practice. Brain systems can display bistability (both normal and epileptic states can coexist), and the transitions between states may be initiated by external or internal dynamic factors. In the former case prediction is impossible, but in the latter case prediction is conceivable, leading to the hypothesis that as seizure onse

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36

Nixon, Robert G. Communicable Diseases and Infection Control for EMS. Prentice Hall, 2000.

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37

Littlefield, Melissa M. Instrumental Intimacy: EEG Wearables and Neuroscientific Control. Johns Hopkins University Press, 2018.

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38

PCB Design for Real-World EMI Control. Springer, 2002.

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39

Littlefield, Melissa M. Instrumental Intimacy: EEG Wearables and Neuroscientific Control. Johns Hopkins University Press, 2018.

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40

Nixon, Robert G. Communicable Diseases and Infection Control for EMS. Prentice Hall, 2000.

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41

Archambeault, Bruce R., and James Drewniak. PCB Design for Real-World EMI Control. Springer London, Limited, 2013.

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42

Staff, International Monetary Fund. Credibility, Capital Controls, and the EMS. International Monetary Fund, 1989.

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43

Sithanantham, S., Chandish R. Ballal, S. K. Jalali, and N. Bakthavatsalam. Biological Control of Insect Pests Using Egg Parasitoids. Springer, 2013.

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44

Sithanantham, S., Chandish R. Ballal, S. K. Jalali, and N. Bakthavatsalam. Biological Control of Insect Pests Using Egg Parasitoids. Springer, 2015.

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45

Sithanantham, S., Chandish R. Ballal, S. K. Jalali, and N. Bakthavatsalam. Biological Control of Insect Pests Using Egg Parasitoids. Springer London, Limited, 2013.

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46

Lozsadi, Dora A. Sleep and epilepsy—chicken or egg? Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198778240.003.0011.

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Epilepsy is the commonest serious chronic neurological condition, affecting 0.5% of the population in the UK. Subjective sleep disturbance and excessive daytime sleepiness are reported to be 50% more frequent in those with epilepsy than in controls. Causes are multiple. Both poor seizure control and nocturnal attacks are known to contribute to such sleep disorders. Epilepsy also increases the risk of associated sleep disorders, and additional neurological conditions, such as dementia, learning disability, and depression. These all affect sleep hygiene. Prescribed anti-epileptic drugs will furt

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47

Pfurtscheller, Gert, Clemens Brunner, and Christa Neuper. EEG-Based Brain–Computer Interfaces. Edited by Donald L. Schomer and Fernando H. Lopes da Silva. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.003.0047.

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A brain–computer interface (BCI) offers an alternative to natural communication and control by recording brain activity, processing it online, and producing control signals that reflect the user’s intent or the current user state. Therefore, a BCI provides a non-muscular communication channel that can be used to convey messages and commands without any muscle activity. This chapter presents information on the use of different electroencephalographic (EEG) features such as steady-state visual evoked potentials, P300 components, event-related desynchronization, or a combination of different EEG

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48

Bansal, Dipali, and Rashima Mahajan. EEG-Based Brain-Computer Interface: Analysis and Control Applications. Elsevier Science & Technology, 2019.

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49

Emi Control in the Design of Printed Circuit Boards. Don White Consultants Inc, 1996.

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50

Consoli, Fernando L., José R. P. Parra, and Roberto A. Zucchi. Egg Parasitoids in Agroecosystems with Emphasis on Trichogramma. Springer, 2012.

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