Results 31 to 40 of about 5,548 (255)

A Novel Approach to Simultaneous Phonocardiography and Electrocardiography During Auscultation

open access: yesIEEE Access, 2023
The combination of the phonocardiogram (PCG) and the electrocardiogram (ECG) allows the simultaneous evaluation of the heart’s mechanical and electrical conditions and could significantly improve the accuracy of an initial cardiovascular disease ...
Sofia M. Monteiro, Hugo Placido da Silva
doaj   +1 more source

Heart sound classification from unsegmented phonocardiograms [PDF]

open access: yesPhysiological Measurement, 2017
Most algorithms for automated analysis of phonocardiograms (PCG) require segmentation of the signal into the characteristic heart sounds. The aim was to assess the feasibility for accurate classification of heart sounds on short, unsegmented recordings.PCG segments of 5 s duration from the PhysioNet/Computing in Cardiology Challenge database were ...
Langley, Philip, Murray, Alan
openaire   +3 more sources

Determination of Morphologically Characteristic PCG Segments from Spectrogram Image [PDF]

open access: yesTelfor 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  

Dynamic Changes in Fourth Heart Sound in Type 2 Diabetes: Insights From Visualized Phonocardiography and SGLT2 Inhibitor Adjustment. [PDF]

open access: yesCase Rep Med
The fourth heart sound (S4) is an auscultatory marker of left ventricular diastolic dysfunction (LVDD). Additionally, S4 correlates with atrial function, which is typically impaired in patients with Type 2 diabetes (T2D) but can improve with sodium–glucose co‐transporter‐2 inhibitor (SGLT2i) therapy.
Yagi K   +8 more
europepmc   +2 more sources

Short-segment heart sound classification using an ensemble of deep convolutional neural networks [PDF]

open access: yes, 2018
This paper proposes a framework based on deep convolutional neural networks (CNNs) for automatic heart sound classification using short-segments of individual heart beats. We design a 1D-CNN that directly learns features from raw heart-sound signals, and
Noman, Fuad   +3 more
core   +2 more sources

Development of a Finger-Ring-Shaped Hybrid Smart Stethoscope for Automatic S1 and S2 Heart Sound Identification

open access: yesSensors, 2021
Cardiac auscultation is one of the most popular diagnosis approaches to determine cardiovascular status based on listening to heart sounds with a stethoscope.
Soomin Lee   +5 more
doaj   +1 more source

Application of Acoustic Cardiography in Assessment of Cardiac Function in Horses with Atrial Fibrillation Before and After Cardioversion

open access: yesAnimals
Left atrial mechanical dysfunction is common in horses following the treatment of atrial fibrillation (AF). This study aimed to evaluate the use of an acoustic cardiography monitor (Audicor®) in quantifying cardiac mechanical and hemodynamic function in ...
Mélodie J. Schneider   +6 more
doaj   +1 more source

KLASIFIKASI SINYAL PHONOCARDIOGRAM MENGGUNAKAN METODE SHORTTIME FOURIER TRANSFORM DAN SUPPORT VECTOR MACHINE

open access: yesSimetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer, 2023
Penggunaan phonocardiogram (PCG) dalam mengekstraksi informasi-informasi secara elektronik membutuhkan analisis sinyal yang kompleks. Namun, PCG memiliki keunggulan bersifat non invasif dan hemat dibandingkan dengan electrocardiogram (EKG).
Faqih Amatya Hendrayan   +2 more
doaj   +1 more source

Synchronous Acquisition and Processing of Electro- and Phono-Cardiogram Signals for Accurate Systolic Times’ Measurement in Heart Disease Diagnosis and Monitoring

open access: yesSensors
Cardiovascular diseases remain one of the leading causes of mortality worldwide, highlighting the importance of effective monitoring and early diagnosis.
Roberto De Fazio   +6 more
doaj   +1 more source

Wavelet-based fundamental heart sound recognition method using morphological and interval features

open access: yesHealthcare Technology Letters, 2018
Accurate and reliable recognition of fundamental heart sounds (FHSs) plays a significant role in automated analysis of heart sound (HS) patterns. This Letter presents an automated wavelet-based FHS recognition (WFHSR) method using morphological and ...
V. Nivitha Varghees   +2 more
doaj   +1 more source

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