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- Author: Heye Zhang
- Publisher: VDM Verlag
- ISBN-10: 363915911X
- ISBN-13: 9783639159110
- Format: 15.2 x 22.9 x 1 cm, minkšti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
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Description
Noninvasive estimation of myocardial electrical activity traditionally used potential measurements on the human body surface, such as body surface potentials(BSPs, pl.) or electrocardiograms (ECGs, pl.). But because of non-unique mapping between myocardial electrophysiological activity and sparse body potential measurements, the performances of previous efforts have not been well accepted. In this book, a different aspect to understand myocardial electrophysiological activity is established for the first time: since the mechanical activity of the myocardium is mainly driven by myocardial electrophysiological activity, patient-specific myocardial kinematic measures should, indirectly, reflect the propagation of cardiac transmembrane potential(TMP). Coupling the physiological modeling of myocardial electro-mechanical behavior on the meshfree particle representation, my proposed inverse approach recovers myocardial electrophysiological activity from medical image sequences through regularization or Kalman filter with favor results.
EXTRA 10 % discount with code: EXTRA
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- Author: Heye Zhang
- Publisher: VDM Verlag
- ISBN-10: 363915911X
- ISBN-13: 9783639159110
- Format: 15.2 x 22.9 x 1 cm, minkšti viršeliai
- Language: English English
Noninvasive estimation of myocardial electrical activity traditionally used potential measurements on the human body surface, such as body surface potentials(BSPs, pl.) or electrocardiograms (ECGs, pl.). But because of non-unique mapping between myocardial electrophysiological activity and sparse body potential measurements, the performances of previous efforts have not been well accepted. In this book, a different aspect to understand myocardial electrophysiological activity is established for the first time: since the mechanical activity of the myocardium is mainly driven by myocardial electrophysiological activity, patient-specific myocardial kinematic measures should, indirectly, reflect the propagation of cardiac transmembrane potential(TMP). Coupling the physiological modeling of myocardial electro-mechanical behavior on the meshfree particle representation, my proposed inverse approach recovers myocardial electrophysiological activity from medical image sequences through regularization or Kalman filter with favor results.
Reviews