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Diagnosis of heart diseases by a secure internet of health things system based on autoencoder deep neural network
Objective of this study is to introduce a secure IoHT system, which acts as a clinical decision
support system with the diagnosis of cardiovascular diseases. In this sense, it was …
support system with the diagnosis of cardiovascular diseases. In this sense, it was …
CNN and bidirectional GRU-based heartbeat sound classification architecture for elderly people
Cardiovascular diseases (CVDs) are a significant cause of death worldwide. CVDs can be
prevented by diagnosing heartbeat sounds and other conventional techniques early to …
prevented by diagnosing heartbeat sounds and other conventional techniques early to …
A review on deep learning methods for heart sound signal analysis
Introduction Application of Deep Learning (DL) methods is being increasingly appreciated
by researchers from the biomedical engineering domain in which heart sound analysis is an …
by researchers from the biomedical engineering domain in which heart sound analysis is an …
Mel frequency cepstral coefficient temporal feature integration for classifying squeak and rattle noise
Fault identification using the emitted mechanical noise is becoming an attractive field of
research in a variety of industries. It is essential to rank acoustic feature integration functions …
research in a variety of industries. It is essential to rank acoustic feature integration functions …
[HTML][HTML] Adopting artificial intelligence algorithms for remote fetal heart rate monitoring and classification using wearable fetal phonocardiography
Fetal phonocardiography (FPCG) is a non-invasive Fetal Heart Rate (FHR) monitoring
technique that can detect vibrations and murmurs in heart sounds. However, acquiring fetal …
technique that can detect vibrations and murmurs in heart sounds. However, acquiring fetal …
[کتاب][B] Artificial intelligence in medical virology
JM Chatterjee, SK Saxena - 2023 - Springer
The proposed book inspects work that has been attempted or is planned, in the fields of
artificial intelligence (AI) and virology, with an end goal to advance ongoing and future work …
artificial intelligence (AI) and virology, with an end goal to advance ongoing and future work …
Deep autoencoder neural networks for heart sound classification
Heart sound signals, or Phonocardiogram (PCG), play a significant role in diagnosing heart
diseases, and it is a well-accepted way to detect cardiovascular diseases (CVDs). Recent …
diseases, and it is a well-accepted way to detect cardiovascular diseases (CVDs). Recent …
[HTML][HTML] Heart sound classification technique for early CVD detection using improved wavelet time scattering and discriminant analysis classifiers
Objective PCG represents the acoustic replay of heart sounds from the cardiac structure. To
detect and analyse the different conditions of the heart, heart sound signals are essential …
detect and analyse the different conditions of the heart, heart sound signals are essential …
Hybrid Sneaky algorithm-based deep neural networks for Heart sound classification using phonocardiogram
In the diagnosis of cardiac disorders Heart sound has a major role, and early detection is
crucial to safeguard the patients. Computerized strategies of heart sound classification …
crucial to safeguard the patients. Computerized strategies of heart sound classification …
[PDF][PDF] IDENTIFYING POTENTIAL CREDIT CARD PAYMENT DEFAULTS USING GMDKNN WITH LOF AS OUTLIER HANDLING
In classifying data, accuracy results are greatly influenced by outliers. The presence of
outliers can cause a low level of accuracy in the classification process. The Generalised …
outliers can cause a low level of accuracy in the classification process. The Generalised …