ExHyptNet: An explainable diagnosis of hypertension using EfficientNet with PPG signals
Background Hypertension is a crucial health indicator because it provides subtle details
about a patient's cardiac health. Photoplethysmography (PPG) signals are a critical …
about a patient's cardiac health. Photoplethysmography (PPG) signals are a critical …
Photoplethysmography signal processing and synthesis
This chapter presents the fundamental signal processing techniques used to analyze the
PPG signal. The chapter starts by providing an overview of the PPG signal, covering its …
PPG signal. The chapter starts by providing an overview of the PPG signal, covering its …
A two-stage classification model integrating feature fusion for coronary artery disease detection and classification
Abstract According to the World Health Organization, Coronary Artery Disease (CAD) is a
leading cause of death globally. CAD is categorized into three types, namely Single Vessel …
leading cause of death globally. CAD is categorized into three types, namely Single Vessel …
Automatic identification of hypertension and assessment of its secondary effects using artificial intelligence: A systematic review (2013–2023)
Artificial intelligence (AI) techniques are increasingly used in computer-aided diagnostic
tools in medicine. These techniques can also help to identify hypertension (HTN) in its early …
tools in medicine. These techniques can also help to identify hypertension (HTN) in its early …
A support system for automatic classification of hypertension using BCG signals
Hypertension (HPT) is a lethal medical disorder in which the blood vessels unusually have
high pressure for an extended period. It may raise the risk of various health complications …
high pressure for an extended period. It may raise the risk of various health complications …
Experimental exploration of multilevel human pain assessment using blood volume pulse (bvp) signals
Critically ill patients often lack cognitive or communicative functions, making it challenging to
assess their pain levels using self-reporting mechanisms. There is an urgent need for an …
assess their pain levels using self-reporting mechanisms. There is an urgent need for an …
Computer-aided diagnosis system for cardiac disorders using variational mode decomposition and novel cepstral quinary patterns
Cardiac disorders cause a large number of human mortalities every year. This raises a
sheer need for an early and accurate diagnosis of cardiac disorders to provide early …
sheer need for an early and accurate diagnosis of cardiac disorders to provide early …
Intelligent bearing faults diagnosis featuring automated relative energy based empirical mode decomposition and novel cepstral autoregressive features
Vibration signal analysis is a significant approach in fault diagnosis. This article presents a
new vibration signal preprocessing scheme called Automated Relative Energy based …
new vibration signal preprocessing scheme called Automated Relative Energy based …
[HTML][HTML] Expert diagnostic system for detection of hypertension and diabetes mellitus using discrete wavelet decomposition of photoplethysmogram signal and …
Hypertension is a leading risk factor for cardiovascular disease (CVD) and the overlap of
diabetes mellitus (DM) with hypertension can lead to severe complications. There is a need …
diabetes mellitus (DM) with hypertension can lead to severe complications. There is a need …
A novel embedded system design for the detection and classification of cardiac disorders
Phonocardiogram (PCG) signals hold significant prognostic and diagnostic information
about cardiac health. Numerous PCG or heart sound based automated detection algorithms …
about cardiac health. Numerous PCG or heart sound based automated detection algorithms …