Literature DB >> 23367063

24h seismocardiogram monitoring in ambulant subjects.

M Di Rienzo1, P Meriggi, E Vaini, P Castiglioni, F Rizzo.   

Abstract

Sternal seismocardiogram (SCG) is the assessment of microvibrations produced by the beating heart as detected by an accelerometer positioned on the sternum. This signal reflects mechanical events of the heart contraction, including the opening and closure of mitral and aortic valves and maximal blood flow acceleration. Traditionally, SCG has been detected in a laboratory setting with the subject lying at rest in supine position. Aims of this study were 1) to investigate the feasibility of a SCG monitoring over the 24 hours in ambulant subjects, and 2) to calculate number and time distribution of the SCG estimates obtainable over the 24 hours. In 5 healthy subjects ECG, respiration, body accelerations and sternal SCG were recorded for 24 hours in a workday by a smart garment recently developed in our laboratory, the MagIC-SCG system. Each recording was split into a series of contiguous 5-s data segments and SCG was estimated in each segment where the magnitude of the acceleration vector was < 4 milli-g (this condition indicates that the subject was not moving).All the 24-h recordings were found of good quality and could be entirely analyzed. A large number of SCG estimates could be obtained over the 24 hours. In particular, more than 100 estimates per hour were available during the day; at night this rate was three times higher.Thus our study indicates that not only the 24h SCG monitoring in daily life is feasible but also that possible changes over time in SCG and its derived parameters may be tracked with an extreme temporal detail.

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Year:  2012        PMID: 23367063     DOI: 10.1109/EMBC.2012.6347128

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  4 in total

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Journal:  IEEE Trans Biomed Eng       Date:  2015-07-21       Impact factor: 4.538

2.  Unified frame of reference improves inter-subject variability of seismocardiograms.

Authors:  Mikko Paukkunen; Petteri Parkkila; Raimo Kettunen; Raimo Sepponen
Journal:  Biomed Eng Online       Date:  2015-02-26       Impact factor: 2.819

3.  An algorithm for the beat-to-beat assessment of cardiac mechanics during sleep on Earth and in microgravity from the seismocardiogram.

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Journal:  Sci Rep       Date:  2017-11-15       Impact factor: 4.379

4.  A Novel Adaptive Recursive Least Squares Filter to Remove the Motion Artifact in Seismocardiography.

Authors:  Shuai Yu; Sheng Liu
Journal:  Sensors (Basel)       Date:  2020-03-13       Impact factor: 3.576

  4 in total

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