A multi-channel wearable heart sound visualization system based on novel heart sound sensors for imaging cardiac acoustic maps was developed and designed. The cardiac acoustic map could be used to detect cardiac vibration and heart sound propagation. The visualization system acquired 72 heart sound signals and one ECG signal simultaneously using 72 heart sound sensors placed on the chest surface and one ECG analog front end. The novel heart sound sensors had the advantages of high signal quality, small size, and high sensitivity. Butterworth filtering and wavelet transform were used to reduce noise in the signals. The cardiac acoustic map was obtained based on the cubic spline interpolation of the heart sound signals. The results showed the...
Increased awareness of healthy living is pushing the development of wearable devices side by side wi...
This paper proposes a sound localization method for heart sounds recorded from subjects in normal no...
A new method to detect heart sound that does not require machine learning is proposed. The heart sou...
A heart sound analysis instrument based on the LabVIEW is devised. There are five subsystems in this...
In this thesis the applicability of advanced digital signal processing techniques to the analysis of...
Despite advancement in medical technology throughout the years, cardiovascular diseases remain the l...
The paper describes a multichannel adaptive algorithm for the enhancement of cardiac sounds with res...
Heart sounds are a fundamental physiological variable that provide a unique insight into cardiac sem...
This project aims to understand more about how the heart functions and how acoustic stethoscope is u...
Different physicians may hear the same heart sound differently, and perhaps interpret them different...
Heart Auscultation is defined as the process of interpreting acoustic waves produced by the mechanic...
The cardiovascular health of the human population is a major concern for medical clinicians, with ca...
Diagnosing heart diseases with a stethoscope and ECG are two fundamental methods because of its effi...
Phonocardiographic signals contain bioacoustic information reflecting the operation of the heart. No...
Humans are different in many ways: fat or thin, young or old, sick or healthy; they may differ in au...
Increased awareness of healthy living is pushing the development of wearable devices side by side wi...
This paper proposes a sound localization method for heart sounds recorded from subjects in normal no...
A new method to detect heart sound that does not require machine learning is proposed. The heart sou...
A heart sound analysis instrument based on the LabVIEW is devised. There are five subsystems in this...
In this thesis the applicability of advanced digital signal processing techniques to the analysis of...
Despite advancement in medical technology throughout the years, cardiovascular diseases remain the l...
The paper describes a multichannel adaptive algorithm for the enhancement of cardiac sounds with res...
Heart sounds are a fundamental physiological variable that provide a unique insight into cardiac sem...
This project aims to understand more about how the heart functions and how acoustic stethoscope is u...
Different physicians may hear the same heart sound differently, and perhaps interpret them different...
Heart Auscultation is defined as the process of interpreting acoustic waves produced by the mechanic...
The cardiovascular health of the human population is a major concern for medical clinicians, with ca...
Diagnosing heart diseases with a stethoscope and ECG are two fundamental methods because of its effi...
Phonocardiographic signals contain bioacoustic information reflecting the operation of the heart. No...
Humans are different in many ways: fat or thin, young or old, sick or healthy; they may differ in au...
Increased awareness of healthy living is pushing the development of wearable devices side by side wi...
This paper proposes a sound localization method for heart sounds recorded from subjects in normal no...
A new method to detect heart sound that does not require machine learning is proposed. The heart sou...