Isbn: 9786204183718 - analysis of ecg & eeg signals and implementation on hardware (5 resultados)

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    • Idioma: Inglés

      Editorial: LAP LAMBERT Academic Publishing, 2021

      6204183710 / 9786204183718

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      Librería: preigu, Osnabrück, Alemaniapreigu

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      Cantidad disponible: 5 disponibles

      Taschenbuch. Condición: Neu. Analysis of ECG & EEG Signals and Implementation on Hardware | Mayur Sevak (u. a.) | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786204183718 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

    • Idioma: Inglés

      Editorial: LAP LAMBERT Academic Publishing Jul 2021, 2021

      6204183710 / 9786204183718

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      Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.

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      EUR 39,90

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      Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This system is based on an instrument that can be used for daily health monitoring purposes by a person. The system will show results based on Electroencephalogram and Electrocardiogram wave detection based on the alternative used by the user. The device will generate the waves of ECG and EEG. The system will determine normality and abnormality based on the BPM wave detected under the Electrocardiogram technique. After classification of ECG signal as normal and abnormal, further classification of abnormality is done. Based on the reading of the frequency, we determine the state of the mind in an electroencephalogram. Our purpose of the project is to design a smart preprocessing tool that preprocesses these Bio-medical signals as well as does extraction of the features. 56 pp. Englisch.

    • Idioma: Inglés

      Editorial: LAP LAMBERT Academic Publishing, 2021

      6204183710 / 9786204183718

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      Librería: moluna, Greven, Alemaniamoluna

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      EUR 34,25

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      Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sevak MayurI, Prof. Mayur Sevak, have completed my B.E in Electronics Engineering from Birla Vishvakarma Mahavidyalaya, S.P. University and completed M.E in Communication Engineering from G.H. Patel College of Engineering, Gujarat Te.

    • Idioma: Inglés

      Editorial: LAP LAMBERT Academic Publishing, 2021

      6204183710 / 9786204183718

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      Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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      EUR 58,59

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      Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This system is based on an instrument that can be used for daily health monitoring purposes by a person. The system will show results based on Electroencephalogram and Electrocardiogram wave detection based on the alternative used by the user. The device will generate the waves of ECG and EEG. The system will determine normality and abnormality based on the BPM wave detected under the Electrocardiogram technique. After classification of ECG signal as normal and abnormal, further classification of abnormality is done. Based on the reading of the frequency, we determine the state of the mind in an electroencephalogram. Our purpose of the project is to design a smart preprocessing tool that preprocesses these Bio-medical signals as well as does extraction of the features.

    • Idioma: Inglés

      Editorial: LAP LAMBERT Academic Publishing Jul 2021, 2021

      6204183710 / 9786204183718

      • Tapa blanda
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      Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000

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      Condición: Nuevo

      EUR 39,90

      Envío por EUR 60,00 
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      Cantidad disponible: 1 disponibles

      Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This system is based on an instrument that can be used for daily health monitoring purposes by a person. The system will show results based on Electroencephalogram and Electrocardiogram wave detection based on the alternative used by the user. The device will generate the waves of ECG and EEG. The system will determine normality and abnormality based on the BPM wave detected under the Electrocardiogram technique. After classification of ECG signal as normal and abnormal, further classification of abnormality is done. Based on the reading of the frequency, we determine the state of the mind in an electroencephalogram. Our purpose of the project is to design a smart preprocessing tool that preprocesses these Bio-medical signals as well as does extraction of the features.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 56 pp. Englisch.