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Analysis of Heart-Sound Characteristics during Motion Based on a Graphic Representation
by
Wang, Kai
, She, Chen-Jun
, Cheng, Xie-Feng
in
Blood Pressure
/ Cardiovascular disease
/ Congenital diseases
/ Heart Sounds
/ Motion
/ motion heart sound
/ motion–response curve
/ multivariate feature analysis
/ Sensors
/ Sound
/ sound-direction vector
/ Systole
2021
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Analysis of Heart-Sound Characteristics during Motion Based on a Graphic Representation
by
Wang, Kai
, She, Chen-Jun
, Cheng, Xie-Feng
in
Blood Pressure
/ Cardiovascular disease
/ Congenital diseases
/ Heart Sounds
/ Motion
/ motion heart sound
/ motion–response curve
/ multivariate feature analysis
/ Sensors
/ Sound
/ sound-direction vector
/ Systole
2021
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Do you wish to request the book?
Analysis of Heart-Sound Characteristics during Motion Based on a Graphic Representation
by
Wang, Kai
, She, Chen-Jun
, Cheng, Xie-Feng
in
Blood Pressure
/ Cardiovascular disease
/ Congenital diseases
/ Heart Sounds
/ Motion
/ motion heart sound
/ motion–response curve
/ multivariate feature analysis
/ Sensors
/ Sound
/ sound-direction vector
/ Systole
2021
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Analysis of Heart-Sound Characteristics during Motion Based on a Graphic Representation
Journal Article
Analysis of Heart-Sound Characteristics during Motion Based on a Graphic Representation
2021
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Overview
In this paper, the graphic representation method is used to study the multiple characteristics of heart sounds from a resting state to a state of motion based on single- and four-channel heart-sound signals. Based on the concept of integration, we explore the representation method of heart sound and blood pressure during motion. To develop a single- and four-channel heart-sound collector, we propose new concepts such as a sound-direction vector of heart sound, a motion–response curve of heart sound, the difference value, and a state-change-trend diagram. Based on the acoustic principle, the reasons for the differences between multiple-channel heart-sound signals are analyzed. Through a comparative analysis of four-channel motion and resting-heart sounds, from a resting state to a state of motion, the maximum and minimum similarity distances in the corresponding state-change-trend graphs were found to be 0.0038 and 0.0006, respectively. In addition, we provide several characteristic parameters that are both sensitive (such as heart sound amplitude, blood pressure, systolic duration, and diastolic duration) and insensitive (such as sound-direction vector, state-change-trend diagram, and difference value) to motion, thus providing a new technique for the diverse analysis of heart sounds in motion.
Publisher
MDPI AG,MDPI
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