Results 91 to 100 of about 5,008 (218)
Nonlinear Cuff-less Blood Pressure Estimation of Healthy Subjects Using Pulse Transit Time and Arrival Time [PDF]
IEEE Transactions on Instrumentation and Measurement, 66(12),
pp.3299-3308, December 2017, 2018 This paper presents a novel blood pressure (BP) estimation method based on pulse transit time (PTT) and pulse arrival time (PAT) to estimate the systolic BP (SBP) and the diastolic BP (DBP). A data acquisition hardware is designed for high-resolution sampling of phonocardiogram (PCG), photoplethysmogram, and electrocardiogram (ECG). PCG and ECG perform
arxiv +1 more source
The Journal of Clinical Hypertension, Volume 26, Issue 5, Page 553-562, May 2024.Abstract The association of cardio‐ankle vascular index (CAVI), with subclinical cardiac dysfunction in hypertensive patients is unclear. We aim to examine their relationship in hypertensive patients compared with that in normotensive subjects. Our study included 1887 subjects enrolled from Danyang between 2018 and 2019.
Xue Zhang +11 more
wiley +1 more source
Time-Frequency Analysis Of Heart Sounds Using Windowed And Smooth Windowed Wigner-Ville Distribution [PDF]
, 2003 Heart sounds and murmurs are time-varying signals that would best be analyzed using time-frequency analysis. Windowed Wigner-Ville distribution (WWVD) and smooth windowed Wigner-Ville distribution (SWWVD) are used to obtain the timefiequency ...
Daliman, Shaparas, Sha'ameri, Ahmad Zuri
core
Biometric Identification using Phonocardiogram [PDF]
, 2011 Phonocardiogram (PCG) signals as a biometric is a new and novel method for user identification. Use of PCG signals for user recognition is a highly reliable method because heart sounds are produced by internal organs and cannot be forged easily as ...
Singh, Ajay, Singh, Ashish Kumar
core
Frequency Extraction of Phonocardiogram Signal using Fourier Transform [PDF]
This article presents Fourier Transform application to extract features of Phonocardiogram Signals into its frequency components. Data was taken from Physionet Dataset of Phonocardiogram which comprises of normal and abnormal heart condition.
Bachri, Karel Octavianus
core +2 more sources
Machine learning and wearable devices for Phonocardiogram-based diagnosis [PDF]
, 2019 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
core +1 more source
A Novel Transfer Learning-Based Approach for Screening Pre-existing Heart Diseases Using Synchronized ECG Signals and Heart Sounds [PDF]
arXiv, 2021 Diagnosing pre-existing heart diseases early in life is important as it helps prevent complications such as pulmonary hypertension, heart rhythm problems, blood clots, heart failure and sudden cardiac arrest. To identify such diseases, phonocardiogram (PCG) and electrocardiogram (ECG) waveforms convey important information. Therefore, effectively using
arxiv
BMC Medical Informatics and Decision Making, 2022 Background The diagnosis of cardiac abnormalities based on heart sound signal is a research hotspot in recent years. The early diagnosis of cardiac abnormalities has a crucial significance for the treatment of heart diseases.
Wanrong Yang +8 more
doaj +1 more source
GENERATYWNY MODEL Z DEEP FAKE AUGUMENTATION DLA SYGNAŁÓW Z FONOKARDIOGRAMU ORAZ ELEKTROKARDIOGRAMU W STRUKTURACH LSGAN ORAZ CYCLE GAN [PDF]
, 2023 In order to diagnose a range of cardiac conditions, it is important to conduct an accurate evaluation of either phonocardiogram (PCG) and electrocardiogram (ECG) data.
Kumar, Gottapu Santosh +4 more
core +1 more source
Heart Sound Classification Considering Additive Noise and Convolutional Distortion [PDF]
arXiv, 2021 Cardiac auscultation is an essential point-of-care method used for the early diagnosis of heart diseases. Automatic analysis of heart sounds for abnormality detection is faced with the challenges of additive noise and sensor-dependent degradation. This paper aims to develop methods to address the cardiac abnormality detection problem when both types of
arxiv