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Study of Ambulatory ECG and identification of motion artifact - Couverture souple

Vala, Deepak; Pawar, Tanmay; Thakar, Vishvjit

 
9783659859519: Study of Ambulatory ECG and identification of motion artifact
Couverture souple
ISBN 10 : 3659859516 ISBN 13 : 9783659859519
Editeur : LAP LAMBERT Academic Publishing, 2016

Synopsis

In this book, a brief introduction to the ambulation study of the ECG in a wearable device(WD) is provided.Among many methods can be used for AECG signal analysis and identification of motion artifacts like detection of QRS complex using a modified derivative based approach.We have also derived modified QRS detection method to identify R peak in ECG signal successfully. We have presented an offline analysis of the RPCA-based algorithm for detecting the motion artifact’s episodes appearing in an ECG signal. In the process, we have verified that the RPCA error magnitude is significantly greater for the noisy episodes as compared to the clean ECG signal portions. We used 25 data-sets from Physionet website and also used recorded AECG of five person of different physical activity for AECG analysis. We used wavelet for AECG signal denoising. And then finally ICA, technique used for removal of motion artifacts of synthesized ECG data of MIT-BIH and of AECG signals.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

In this book, a brief introduction to the ambulation study of the ECG in a wearable device(WD) is provided.Among many methods can be used for AECG signal analysis and identification of motion artifacts like detection of QRS complex using a modified derivative based approach.We have also derived modified QRS detection method to identify R peak in ECG signal successfully. We have presented an offline analysis of the RPCA-based algorithm for detecting the motion artifact’s episodes appearing in an ECG signal. In the process, we have verified that the RPCA error magnitude is significantly greater for the noisy episodes as compared to the clean ECG signal portions. We used 25 data-sets from Physionet website and also used recorded AECG of five person of different physical activity for AECG analysis. We used wavelet for AECG signal denoising. And then finally ICA, technique used for removal of motion artifacts of synthesized ECG data of MIT-BIH and of AECG signals.

Biographie de l'auteur

Dr. D L Vala:B.E.(Electronics and Communication)M.E.(E)(Microprocessor Systems and Applications)Ph.D.(Electronics and Communication)

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2016
Langue
anglais
ISBN 10 
3659859516
ISBN 13 
9783659859519
Reliure
Broché
Nombre de pages
164
Coordonnées du fabricant
non disponible
Personne responsable
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