The diagnosis of cardiac disorders using heart sounds is one of the hottest topics in recent
years. In general, diagnosing in the early stage is usually performed using routine …

This paper presents a new deep learning methodology to detect among up to 17 classes of
cardiac arrhythmia based on beat-wise electrocardiography (ECG) signal analysis using iris …

Cardiac and respiratory diseases are the primary causes of health problems. If we can
automate anomalous heart and lung sound diagnosis, we can improve the early detection of …

To investigate the performance of Adaptive Neuro-Fuzzy Inference System (ANFIS),
activated by spectral analysis features, for detection of abnormal cardiac valves sound …

Detection of interictal epileptic discharges (IED) events in the EEG recordings is a critical
indicator for detecting and diagnosing epileptic seizures. We propose a key technology to …

Bispectral analysis is an effective signal processing tool for investigating interactions
between oscillations, and has been adapted to the continuous wavelet transform for time …

Automatic detection of epileptic seizures is still a challenging problem due to the intolerance
of EEG. Introducing ECG can help with EEG for detecting seizures. However, the existing …

The influence of surface roughness on the acoustic spectrum in a pulsing restricted flow is
investigated over a range of roughness sizes and flow conditions. Four different roughness …

This study proposes a Raspberry Pi-based system for the diagnosis of heart valve diseases
as a primary tool to improve the diagnostic accuracy of physicians. The proposed system is …

Permasalahan gizi dapat terjadi sepanjang siklus kehidupan manusia. Salah satu indikator
keberhasilan pembangunan adalah Angka Kematian Ibu (AKI), Angka Kematian Bayi (AKB) …