Document Detail


Seismocardiographic adjustment of diastolic timed vibrations.
MedLine Citation:
PMID:  23366755     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
A seismocardiography based methodology is introduced for predicting the start and the end of diastole to be used in diastolic timed vibrations. An accelerometer was placed on the sternum of 142 participants (120 healthy and 22 ischemic heart patients) to record Seismocardiogram (SCG). It is claimed that SCG, in combination with electrocardiogram (ECG), provides a mechanism for predicting diastole. It is demonstrated that prediction of the aortic valve closure point in the SCG signal helps start the vibrator in time to cover most of the isovolumic relaxation period. Also, through prediction of the mitral valve closure point, safety of the technique can be assessed by estimation of the amount of unwanted vibrations applied during the isovolumic contraction period.
Authors:
Kouhyar Tavakolian; Farzad Khosrow-Khavar; Behrad Kajbafzadeh; Marcin Marzencki; Shadi Rohani; Bozena Kaminska; Carlo Menon
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference     Volume:  2012     ISSN:  1557-170X     ISO Abbreviation:  Conf Proc IEEE Eng Med Biol Soc     Publication Date:  2012  
Date Detail:
Created Date:  2013-01-31     Completed Date:  2013-07-23     Revised Date:  2014-08-21    
Medline Journal Info:
Nlm Unique ID:  101243413     Medline TA:  Conf Proc IEEE Eng Med Biol Soc     Country:  United States    
Other Details:
Languages:  eng     Pagination:  3797-800     Citation Subset:  IM    
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MeSH Terms
Descriptor/Qualifier:
Adolescent
Adult
Aged
Aged, 80 and over
Diastole / physiology*
Female
Heart / physiology*
Humans
Male
Middle Aged
Monitoring, Physiologic / methods*
Time Factors
Ventricular Function
Vibration*
Young Adult

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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