Results 151 to 160 of about 869 (171)

Analyzing Seismocardiogram Cycles to Identify the Respiratory Phases

IEEE Transactions on Biomedical Engineering, 2017
the objective of this study was to develop a method to identify respiratory phases (i.e., inhale or exhale) of seismocardiogram (SCG) cycles. An SCG signal is obtained by placing an accelerometer on the sternum to capture cardiac vibrations.SCGs from 19 healthy subjects were collected, preprocessed, segmented, and labeled. To extract the most important
Zakeri, Vahid, Akhbardeh, Alireza, Alamdari, Nasim, Fazel-Rezai, Reza, Paukkunen, Mikko, Tavakolian, Kouhyar   +6 more
openaire   +2 more sources

Multiresolution wavelet decomposition of the seismocardiogram

IEEE Transactions on Signal Processing, 1998
The seismocardiogram (SCG) is a complex, nonstationary signal used for pathological analysis of cardiac vibratory activity. This article reports the results of multiresolution wavelet decomposition of SCGs for a normal male subject, pertaining to three different physiological conditions.
W. Sandham, D. Hamilton, A. Fisher, null Wei Xu, M. Conway   +4 more
openaire   +1 more source

Mathematical Model of Seismocardiogram

2007
Mathematical model of craniocaudal forces developed by a mechanical activity of heart and blood flow through great arteries has been described in the paper. The model was used to generate oscillations corresponding to seismocardiographic signals.
Jiri Holcik, J. Moudr
openaire   +1 more source

Seismocardiogram (SCG) interpretation using neural networks

[1991] Computer-Based Medical Systems@m_Proceedings of the Fourth Annual IEEE Symposium, 2002
Exercise seismocardiograms (SCG) were recorded in a population of 114 patients, 57 of which were diagnosed as having coronary artery disease. The remaining 57 were diagnosed as low-risk normals. Three 60-s SCG recordings were performed at rest, immediately after exercise, and after recovery.
M.O. Poliac, J.M. Zanetty, D. Salerno, G.L. Wilcox   +3 more
openaire   +1 more source

Annotation of seismocardiogram using gyroscopic recordings

2016 IEEE Biomedical Circuits and Systems Conference (BioCAS), 2016
This paper introduces a novel setup and algorithm for the automatic annotation of seismocardiographic (SCG) recordings from a MEMS accelerometer. The setup utilizes gyroscopic recordings as a reference for the detection of isovolumic moment (IM) and aortic valve closure (AC) peaks.
Chenxi Yang, Sunli Tang, Negar Tavassolian   +2 more
openaire   +1 more source

Correlation between seismocardiogram and systolic blood pressure

2013 26th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), 2013
Modern health care system requires certain critically ill patients to monitor their blood pressure continuously through non-invasive techniques. The pulse transit time (PTT) and other parameter such as RS2 have been used previously for continuous BP monitoring.
Mohammad Shamim Imtiaz, Rajeena Shrestha, Talwinder Dhillon, Kazi Ata Yousuf, Bilal Saeed, Anh Dinh, Khan Wahid   +6 more
openaire   +1 more source

Real-Time Seismocardiogram Feature Extraction Using Adaptive Gaussian Mixture Models

IEEE Journal of Biomedical and Health Informatics, 2023
Wearable systems can provide accurate cardiovascular evaluations by estimating hemodynamic indices in real-time. Key hemodynamic parameters can be non-invasively estimated using the seismocardiogram (SCG), a cardiomechanical signal whose features link to cardiac events like aortic valve opening (AO) and closing (AC).
David Jimmy Lin, Asim Hossain Gazi, Jacob Kimball, Mohammad Nikbakht, Omer T. Inan   +4 more
openaire   +2 more sources

Automatic Annotation of Seismocardiogram With High-Frequency Precordial Accelerations

IEEE Journal of Biomedical and Health Informatics, 2015
Seismocardiogram (SCG) is the low-frequency vibrations signal recorded from the chest using accelerometers. Peaks on dorsoventral and sternal SCG correspond to specific cardiac events. Prior research work has shown the potential of extracting such peaks for various types of monitoring and diagnosis applications.
Farzad, Khosrow-khavar, Kouhyar, Tavakolian, Andrew P, Blaber, John M, Zanetti, Reza, Fazel-Rezai, Carlo, Menon   +5 more
openaire   +2 more sources

A morphological approach to detect respiratory phases of seismocardiogram

2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016
This paper presents a new approach to identify the respiratory phases of heart cycles from acceleration signals (i.e., seismocardiogram) recorded from the sternum, in back to front direction. The acceleration signals were recorded simultaneously with a single lead electrocardiogram (ECG), and the respiratory signal (using a chest band strain gauge ...
N, Alamdari, K, Tavakolian, V, Zakeri, R, Fazel-Rezai, A, Akhbardeh   +4 more
openaire   +2 more sources

Moving toward automatic and standalone delineation of seismocardiogram signal

2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015
The purpose of this research is to propose an algorithm that could accomplish automatic delineation of the seismocardiogram (SCG) signal without using a reference electrocardiogram R-wave. As a result, the SCG signal could be used, as a stand-alone solution for many cardiovascular medical applications such as hemorrhage detection, cardiac computed ...
F, Khosrow-Khavar, K, Tavakolian, C, Menon   +2 more
openaire   +2 more sources