DocumentCode :
636295
Title :
Analysis and evaluation of vascular sounds in hemodialysis
Author :
Kawai, Masanori ; Suzuki, A.
Author_Institution :
Dept. of Clinical Eng., Suzuka Univ. of Med. Sci., Mie, Japan
fYear :
2013
fDate :
3-7 July 2013
Firstpage :
1017
Lastpage :
1020
Abstract :
A vascular access is required for hemodialysis. Because the vascular access is an important lifeline for patients with renal failure, its monitoring and management are essential. The vascular access is typically monitored through auscultation of vascular sounds because these sounds provide some indication of access patency; however, this is not a quantitative assessment. The objective of this study is to develop a quantitative assessment of vascular sounds in hemodialysis. We propose several parameters to evaluate discontinuities in sound power and to specify the shape of the power spectrum, using signal processing techniques such as the theory of spectral distance with autoregressive model and the nonlinear closing operation from the field of mathematical morphology, which is essential for robust segmentation of waveform. In our demonstrations, abnormal vascular sounds are seen to exhibit different parameters compared to normal sounds. This shows that these parameters may be useful for assessing conditions of vascular sounds.
Keywords :
haemodynamics; medical disorders; medical signal processing; patient treatment; regression analysis; access patency; auscultation; autoregressive model; hemodialysis; nonlinear closing operation; patient lifeline; power spectrum shape; renal failure; signal processing techniques; sound power; spectral distance; vascular access; vascular sounds; Bandwidth; Cutoff frequency; Mathematical model; Monitoring; Morphology; Signal processing; Time-frequency analysis; Autoregressive model; Hemodialysis; Quantitative assessment; Vascular sounds; Algorithms; Auscultation; Humans; Renal Dialysis; Sound Spectrography;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
Conference_Location :
Osaka
ISSN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2013.6609676
Filename :
6609676
Link To Document :
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