Challenges and prospects of visual contactless physiological monitoring in clinical study
The monitoring of physiological parameters is a crucial topic in promoting human health and
an indispensable approach for assessing physiological status and diagnosing diseases …
an indispensable approach for assessing physiological status and diagnosing diseases …
A systematic review of machine learning and IoT applied to the prediction and monitoring of cardiovascular diseases
According to the Pan American Health Organization, cardiovascular disease is the leading
cause of death worldwide, claiming an estimated 17.9 million lives each year. This paper …
cause of death worldwide, claiming an estimated 17.9 million lives each year. This paper …
An intelligent health monitoring and diagnosis system based on the internet of things and fuzzy logic for cardiac arrhythmia COVID-19 patients
Background: During the COVID-19 pandemic, there is a global demand for intelligent health
surveillance and diagnosis systems for patients with critical conditions, particularly those …
surveillance and diagnosis systems for patients with critical conditions, particularly those …
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 …
Stress Monitoring Using Machine Learning, IoT and Wearable Sensors
The Internet of Things (IoT) has emerged as a fundamental framework for interconnected
device communication, representing a relatively new paradigm and the evolution of the …
device communication, representing a relatively new paradigm and the evolution of the …
Efficient classification of ECG images using a lightweight CNN with attention module and IoT
Cardiac disorders are a leading cause of global casualties, emphasizing the need for the
initial diagnosis and prevention of cardiovascular diseases (CVDs). Electrocardiogram …
initial diagnosis and prevention of cardiovascular diseases (CVDs). Electrocardiogram …
Recent developments and future directions of wearable skin biosignal sensors
This review article explores the transformative advancements in wearable biosignal sensors
powered by machine learning, focusing on four notable biosignals: electrocardiogram …
powered by machine learning, focusing on four notable biosignals: electrocardiogram …
AI-driven real-time classification of ECG signals for cardiac monitoring using i-alexNet architecture
The healthcare industry has evolved with the advent of artificial intelligence (AI), which uses
advanced computational methods and algorithms, leading to quicker inspection, forecasting …
advanced computational methods and algorithms, leading to quicker inspection, forecasting …
Fed-CL-an atrial fibrillation prediction system using ECG signals employing federated learning mechanism
Deep learning has shown great promise in predicting Atrial Fibrillation using ECG signals
and other vital signs. However, a major hurdle lies in the privacy concerns surrounding …
and other vital signs. However, a major hurdle lies in the privacy concerns surrounding …
Intelligent Bi-LSTM with architecture optimization for heart disease prediction in WBAN through optimal channel selection and feature selection
Wireless Body Area Network (WBAN) is a trending technology of Wireless Sensor Networks
(WSN) to enhance the healthcare system. This system is developed to monitor individuals by …
(WSN) to enhance the healthcare system. This system is developed to monitor individuals by …