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[HTML][HTML] Review of phonocardiogram signal analysis: insights from the PhysioNet/CinC challenge 2016 database
The phonocardiogram (PCG) is a crucial tool for the early detection, continuous monitoring,
accurate diagnosis, and efficient management of cardiovascular diseases. It has the …
accurate diagnosis, and efficient management of cardiovascular diseases. It has the …
Time-frequency analysis, denoising, compression, segmentation, and classification of PCG signals
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 …
contains useful information about the functionality and the condition of the heart. It also …
[HTML][HTML] Feature-based fusion using CNN for lung and heart sound classification
Lung or heart sound classification is challenging due to the complex nature of audio data, its
dynamic properties of time, and frequency domains. It is also very difficult to detect lung or …
dynamic properties of time, and frequency domains. It is also very difficult to detect lung or …
Accurate classification of heart sound signals for cardiovascular disease diagnosis by wavelet analysis and convolutional neural network: preliminary results
Heart sound (HS) signals contain valuable diagnostic information for detection of heart
abnormalities. The early detection of heart abnormalities plays an important role in reducing …
abnormalities. The early detection of heart abnormalities plays an important role in reducing …
The Use of ANN in the Sound Detection of Lung Diseases: Example of COPD, Asthma, Pneumonia
In the age of digital technology, there is a great interest in artificial intelligence-based
disease diagnosis algorithms. There are many image-based studies, especially for lung …
disease diagnosis algorithms. There are many image-based studies, especially for lung …
Application of Signal Processing and Deep Hybrid Learning in Phonocardiogram and Electrocardiogram Signals to Detect Early Stage Heart Diseases
MTH Chowdhury - 2022 - search.proquest.com
This thesis describes a variety of projects on analyzing two common biomedical signals
known as Phonocardiogram (PCG) and Electrocardiogram (ECG/EKG) to detect early-stage …
known as Phonocardiogram (PCG) and Electrocardiogram (ECG/EKG) to detect early-stage …
Combining deep learning with traditional machine learning to improve phonocardiography classification accuracy
Phonocardiography (PCG) is a widely used technique to detect and diagnose
cardiovascular diseases. We have combined the advantages of traditional machine learning …
cardiovascular diseases. We have combined the advantages of traditional machine learning …
[SÁCH][B] Design of Multi-Modality Deep Fusion Architecture for Deep Acoustic Analytics
Z Tariq - 2021 - search.proquest.com
There is increasing attention for audio classification research to support various emerging
applications, including environmental monitoring, health care, and smart city. Audio …
applications, including environmental monitoring, health care, and smart city. Audio …
[TRÍCH DẪN][C] Accurate classification of heart sound signals forcardiovascular disease diagnosis using wavelet analysiswith machine learning and deep learning …
AE Farah Malik - Fen Bilimleri Enstitüsü