Literature DB >> 24111360

Beat-to-beat estimation of LVET and QS2 indices of cardiac mechanics from wearable seismocardiography in ambulant subjects.

Marco Di Rienzo, Emanuele Vaini, Paolo Castiglioni, Paolo Meriggi, Francesco Rizzo.   

Abstract

Seismocardiogram (SCG) is the measure of the minute vibrations produced by the beating heart. We previously demonstrated that SCG, ECG and respiration could be recorded over the 24 h during spontaneous behavior by a smart garment, the MagIC-SCG system. In the present case study we explored the feasibility of a beat-to-beat estimation of two indices of heart contractility, the Left Ventricular Ejection Time (LVET) and the electromechanical systole (QS2) from SCG and ECG recordings obtained by the MagIC-SCG device in one subject. We considered data collected during outdoor spontaneous behavior (while sitting in the metro and in the office) and in a laboratory setting (in supine and sitting posture, and during recovery after 100 W and 140 W cycling). LVET was estimated from SCG as the time interval between the opening and closure of the aortic valve, QS2 as the time interval between the Q wave of the ECG and the closure of the aortic valve. In every condition, LVET and QS2 could be estimated on a beat-to-beat basis from the SCG collected by the smart garment. LVET and QS2 are characterized by important beat-to-beat fluctuations, with standard deviations in the same order of magnitude of RR Interval. In all settings, spectral profiles are different for LVET, QS2 and RR Interval. This suggests that the biological mechanisms impinging on the heart exert a differentiated influence on the variability of each of these three indices.

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Year:  2013        PMID: 24111360     DOI: 10.1109/EMBC.2013.6611173

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


  7 in total

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Journal:  IEEE Trans Biomed Circuits Syst       Date:  2015-05-12       Impact factor: 3.833

2.  Wearable Sensing of Cardiac Timing Intervals from Cardiogenic Limb Vibration Signals.

Authors:  Andrew D Wiens; Ann Johnson; Omer T Inan
Journal:  IEEE Sens J       Date:  2016-12-22       Impact factor: 3.301

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Authors:  Andrew P Blaber; Kouhyar Tavakolian; Bradley Hoffmann; Parastoo Dehkordi; Farzad Khosrow-Khavar; Nandu Goswami
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4.  Accelerometer-Based Method for Extracting Respiratory and Cardiac Gating Information for Dual Gating during Nuclear Medicine Imaging.

Authors:  Mojtaba Jafari Tadi; Tero Koivisto; Mikko Pänkäälä; Ari Paasio
Journal:  Int J Biomed Imaging       Date:  2014-07-10

5.  Automatic Identification of Systolic Time Intervals in Seismocardiogram.

Authors:  Ghufran Shafiq; Sivanagaraja Tatinati; Wei Tech Ang; Kalyana C Veluvolu
Journal:  Sci Rep       Date:  2016-11-22       Impact factor: 4.379

6.  Heart Rate Variability Analysis on Electrocardiograms, Seismocardiograms and Gyrocardiograms on Healthy Volunteers.

Authors:  Szymon Sieciński; Paweł S Kostka; Ewaryst J Tkacz
Journal:  Sensors (Basel)       Date:  2020-08-13       Impact factor: 3.576

7.  Artifact Noise Removal Techniques on Seismocardiogram Using Two Tri-Axial Accelerometers.

Authors:  Loc Luu; Anh Dinh
Journal:  Sensors (Basel)       Date:  2018-04-02       Impact factor: 3.576

  7 in total

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