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A CFD-FFT approach to hemoacoustics that enables degree of stenosis prediction from stethoscopic signals.
Heliyon
July 2023
Department of Mechanical Engineering, The American University in Cairo, 11835 New Cairo, Egypt.
In this paper, we identify a new (acoustic) frequency-stenosis relation whose frequencies lie within the recommended auscultation threshold of stethoscopy (< 120 Hz). We show that this relation can be used to extend the application of phonoangiography (quantifying the degree of stenosis from bruits) to widely accessible stethoscopes. The relation is successfully identified from an analysis restricted to the acoustic signature of the von Karman vortex street, which we automatically single out by means of a metric we propose that is based on an area-weighted average of the Q-criterion for the post-stenotic region.
View Article and Find Full Text PDFCustom-designed sensors embedded 3D-printed wearable device for improving the hemodialysis-related vascular dysfunction detection.
Technol Health Care
October 2023
Division of Cardiovascular Surgery, Department of Surgery, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Article Synopsis
- The study addresses the economic challenges posed by end-stage renal disease (ESRD) and highlights the importance of hemodialysis (HD) while noting potential complications like stenosis and thrombosis from repeated vessel use.
- The researchers developed a wearable device using phonoangiography (PAG) and photoplethysmography (PPG) techniques, aiming to detect arteriovenous access (AVA) stenosis in HD patients early and accurately.
- Results showed that after a procedure to clear blocked vessels (PTA), the device detected increased blood flow in patients, indicating its effectiveness for monitoring AVA dysfunction.
The prototype device for non-invasive diagnosis of arteriovenous fistula condition using machine learning methods.
Sci Rep
October 2020
University of Rzeszów, Al. Rejtana 16c, 35-310, Rzeszów, Poland.
Pattern recognition and automatic decision support methods provide significant advantages in the area of health protection. The aim of this work is to develop a low-cost tool for monitoring arteriovenous fistula (AVF) with the use of phono-angiography method. This article presents a developed and diagnostic device that implements classification algorithms to identify 38 patients with end stage renal disease, chronically hemodialysed using an AVF, at risk of vascular access stenosis.
View Article and Find Full Text PDFDesign of an Auscultation System for Phonoangiography and Monitoring of Carotid Artery Diseases.
Annu Int Conf IEEE Eng Med Biol Soc
July 2019
Cerebrovascular diseases such as stenosis of the carotid artery are accountable for about 1 million death per year across Europe. Diagnostic tools like US, angiography or MRI require specific hardware and highly depend on the experience of the examining clinician. In contrast auscultation with a stethoscope can be used to screen for bruits - audible vascular sounds associated with turbulent blood flow.
View Article and Find Full Text PDFHemodialysis vascular access stenosis detection using auditory spectro-temporal features of phonoangiography.
Med Biol Eng Comput
May 2015
Department of Electrical Engineering, National Cheng Kung University, No. 1, University Road, Tainan City, 701, Taiwan, ROC,
For end-stage renal disease patients undergoing hemodialysis, thrombosis caused by stenosis hinders the long-term use of vascular access. However, traditional spectral bruit analysis techniques for detecting the severity of vascular access stenosis are not robust. Accordingly, the present study proposes an automated method for mimicking a trained practitioner in performing the auscultation process.
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