In view of using abdominal microphones for fetal heart rate (FHR) monitoring, the analysis of the obtained abdominal phonocardiogram (PCG) signals is complex due to many interferential noises including blood flow sounds. In order to improve the understanding of abdominal phonocardiography, a preliminary study was conducted in one healthy volunteer and designed to characterize the PCG signals all over the abdomen. Acquisitions of PCG signals in different abdominal areas were realized, synchronously with one thoracic PCG signal and one electrocardiogram signal. The analysis was carried out based on the temporal behavior, amplitude and mean pattern of each signal. The synchronized rhythmic signature of each signal confirms that the PCG signals obtained on the abdominal area are resulting from heart function. However, the abdominal PCG patterns are totally different from the thoracic PCG one, suggesting the recording of vascular blood flow sounds on the abdomen instead of cardiac valve sounds. Moreover, the abdominal signal magnitude depends on the sensor position and therefore to the size of the underlying vessel. The sounds characterization of abdominal PCG signals could help improving the processing of such signals in the purpose of FHR monitoring.
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http://dx.doi.org/10.1109/EMBC48229.2022.9870910 | DOI Listing |
Microsyst Nanoeng
January 2025
Key Laboratory of Instrumentation Science and Dynamic Measurement Ministry of Education, North University of China, 030051, Taiyuan, China.
The alarming prevalence and mortality rates associated with cardiovascular diseases have emphasized the urgency for innovative detection solutions. Traditional methods, often costly, bulky, and prone to subjectivity, fall short of meeting the need for daily monitoring. Digital and portable wearable monitoring devices have emerged as a promising research frontier.
View Article and Find Full Text PDFCancer Med
January 2025
Faculty of Medical Sciences, Neuroscience Research Center, Lebanese University, Hadath, Lebanon.
Background: Glioblastoma (GBM) is the most common primary brain tumor in adults and has a median survival of less than 15 months. Advancements in the field of epigenetics have expanded our understanding of cancer biology and helped explain the molecular heterogeneity of these tumors. B-cell-specific Moloney murine leukemia virus insertion site-1 (Bmi-1) is a member of the highly conserved polycomb group (PcG) protein family that acts as a transcriptional repressor of multiple genes, including those that determine cell proliferation and differentiation.
View Article and Find Full Text PDFSemin Ophthalmol
December 2024
Kallam Anji Reddy Molecular Genetics Laboratory, Prof. Brien Holden Eye Research Center, L V Prasad Eye Institute, Hyderabad, Telangana, India.
Background: The anterior segment of the eye plays a crucial role in maintaining the normal intraocular pressure and vision. Developmental defects in the anterior segment structures lead to anterior segment dysgenesis (ASD) and primary congenital glaucoma (PCG), which share overlapping clinical features. Several genes have been mapped and characterized in ASD, some of which are also involved in other glaucoma phenotypes.
View Article and Find Full Text PDFPhysiol Meas
December 2024
Biomedical Engineering, Technion Israel Institute of Technology, Julius Silver Building, Haifa, 32000, ISRAEL.
Objective: Phonocardiography has recently gained popularity in low-cost and remote monitoring, including passive fetal heart monitoring. The development of methods which analyse phonocardiographic data tries to capitalize on this opportunity, and in recent years a multitude of such algorithms and models have been published. In these approaches there is little to no standardization and multiple parts of these models have to be reimplemented on a case-by-case basis.
View Article and Find Full Text PDFBioengineering (Basel)
October 2024
Huiyironggong Technology Co., Ltd., Jinan 250098, China.
Early and highly precise detection is essential for delaying the progression of coronary artery disease (CAD). Previous methods primarily based on single-modal data inherently lack sufficient information that compromises detection precision. This paper proposes a novel multi-modal learning method aimed to enhance CAD detection by integrating ECG, PCG, and coupling signals.
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