Mechanical correlates of the third heart sound [PDF]
, 1992 In seven chronically instrumented conscious dogs, micromanometers measured left ventricular pressure, and ultrasonic dimension transducers measured left ventricular minor-axis diameter; the latter recording was filtered to examine data between 20 and 100
Davis, James W. +4 more
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Time-Frequency Analysis, Denoising, Compression, Segmentation, and Classification of PCG Signals
IEEE Access, 2020 Phonocardigraphy (PCG) is the graphical representation of heart sounds. The PCG signal contains useful information about the functionality and the condition of the heart. It also provides an early indication of potential cardiac abnormalities. Extracting
Tanzil Hoque Chowdhury +2 more
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Determination of Morphologically Characteristic PCG Segments from Spectrogram Image [PDF]
Telfor Journal, 2010 The three-dimensional presentation of phonocardiac signal, simultaneously considering time, amplitude and frequency, allows the determination of morphological characteristic segments in phonocardiogram (PCG), both in short and long sequences.
I. S. Reljin +2 more
doaj
Unsupervised heart abnormality detection based on phonocardiogram analysis with Beta Variational Auto-Encoders [PDF]
arXiv, 2021 Heart Sound (also known as phonocardiogram (PCG)) analysis is a popular way that detects cardiovascular diseases (CVDs). Most PCG analysis uses supervised way, which demands both normal and abnormal samples. This paper proposes a method of unsupervised PCG analysis that uses beta variational auto-encoder ($\beta-\text{VAE}$) to model the normal PCG ...
arxiv
Cardiorespiratory system monitoring using a developed acoustic sensor
Healthcare Technology Letters, 2018 This Letter proposes a wireless acoustic sensor for monitoring heartbeat and respiration rate based on phonocardiogram (PCG). The developed sensor comprises a processor, a transceiver which operates at industrial, scientific and medical band and the ...
Reza Abbasi-Kesbi +2 more
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Heart Sound Classification Using Wavelet Analysis Approaches and Ensemble of Deep Learning Models
Applied Sciences, 2023 Analyzing the condition and function of the heart is very important because cardiovascular diseases (CVDs) are responsible for high mortality rates worldwide and can lead to strokes and heart attacks; thus, early diagnosis and treatment are important ...
Jin-A Lee, Keun-Chang Kwak
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Phonocardiogram-based diagnosis using machine learning : parametric estimation with multivariant classification [PDF]
, 2018 The heart sound signal, Phonocardiogram (PCG) is difficult to interpret even for experienced cardiologists. Interpretation are very subjective depending on the hearing ability of the physician.
Abdelmageed, Shaima, Elmusrati, Mohammed
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Segmentation and Optimal Region Selection of Physiological Signals using Deep Neural Networks and Combinatorial Optimization [PDF]
Intl. Trans. in Op. Res., 30: 601-618 (2023), 2020 Physiological signals, such as the electrocardiogram and the phonocardiogram are very often corrupted by noisy sources. Usually, artificial intelligent algorithms analyze the signal regardless of its quality. On the other hand, physicians use a completely orthogonal strategy.
arxiv +1 more source
Denoising of Fetal Phonocardiogram Signal by Wavelet Transformation [PDF]
E3S Web of Conferences, 2020 Auscultation is still one of the most basic analytical tools used to determine the fetal heart’s functional state as well as the first fetal well-being measure. It is called fetal phonocardiography (fPCG) in its modern form.
Suryani Faradisa Irmalia +3 more
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Deep Time Growing Neural Network vs Convolutional Neural Network for Intelligent Phonocardiography [PDF]
, 2022 This paper explores the capabilities of a sophisticated deep learning method, named Deep Time Growing Neural Network (DTGNN), and compares its possibilities against a generally well-known method, Convolutional Neural network (CNN).
Babic, Ankica, Gharehbaghi, Arash
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