Literature DB >> 22255281

A wearable system for the seismocardiogram assessment in daily life conditions.

Marco Di Rienzo1, Paolo Meriggi, Francesco Rizzo, Emanuele Vaini, Andrea Faini, Giampiero Merati, Gianfranco Parati, Paolo Castiglioni.   

Abstract

Seismocardiogram (SCG) is the recording of the minute body accelerations induced by the heart activity, and reflects mechanical aspects of heart contraction and blood ejection. So far, most of the available systems for the SCG assessment are designed to be used in a laboratory or in controlled behavioral and environmental conditions. In this paper we propose a modified version of a textile-based wearable device for the unobtrusive recording of ECG, respiration and accelerometric data (the MagIC system), to assess the 3d sternal SCG in daily life. SCG is characterized by an extremely low magnitude of the accelerations (in the order of g × 10(-3)), and is masked by major body accelerations induced by locomotion. Thus in daily life recordings, SCG can be measured whenever the subject is still. We observed that about 30 seconds of motionless behavior are sufficient for a stable estimate of the average SCG waveform, independently from the subject's posture. Since it is likely that during spontaneous behavior the subject may stay still for at least 30 seconds several times in a day, it is expected that the SCG could be repeatedly estimated and tracked over time through a prolonged data recording. These observations represent the first testing of the system in the assessment of SCG out of a laboratory environment, and open the possibility to perform SCG studies in a wide range of everyday conditions without interfering with the subject's activity tasks.

Mesh:

Year:  2011        PMID: 22255281     DOI: 10.1109/IEMBS.2011.6091058

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


  8 in total

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

2.  Towards Continuous and Ambulatory Blood Pressure Monitoring: Methods for Efficient Data Acquisition for Pulse Transit Time Estimation.

Authors:  Oludotun Ode; Lara Orlandic; Omer T Inan
Journal:  Sensors (Basel)       Date:  2020-12-11       Impact factor: 3.576

3.  Epidermal mechano-acoustic sensing electronics for cardiovascular diagnostics and human-machine interfaces.

Authors:  Yuhao Liu; James J S Norton; Raza Qazi; Zhanan Zou; Kaitlyn R Ammann; Hank Liu; Lingqing Yan; Phat L Tran; Kyung-In Jang; Jung Woo Lee; Douglas Zhang; Kristopher A Kilian; Sung Hee Jung; Timothy Bretl; Jianliang Xiao; Marvin J Slepian; Yonggang Huang; Jae-Woong Jeong; John A Rogers
Journal:  Sci Adv       Date:  2016-11-16       Impact factor: 14.136

Review 4.  Vital Sign Monitoring in Car Seats Based on Electrocardiography, Ballistocardiography and Seismocardiography: A Review.

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5.  Wearable technology to inform the prediction and diagnosis of cardiorespiratory events: a scoping review.

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Journal:  PeerJ       Date:  2021-12-22       Impact factor: 2.984

6.  Quantitative Analysis Using Consecutive Time Window for Unobtrusive Atrial Fibrillation Detection Based on Ballistocardiogram Signal.

Authors:  Tianqing Cheng; Fangfang Jiang; Qing Li; Jitao Zeng; Biyong Zhang
Journal:  Sensors (Basel)       Date:  2022-07-24       Impact factor: 3.847

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

8.  Heart Rate Estimated from Body Movements at Six Degrees of Freedom by Convolutional Neural Networks.

Authors:  Hyunwoo Lee; Mincheol Whang
Journal:  Sensors (Basel)       Date:  2018-05-01       Impact factor: 3.576

  8 in total

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