iCare: An Intelligent System for Remote Cardiac Monitoring in Smart Healthcare

@article{Wang2022iCareAI,
  title={iCare: An Intelligent System for Remote Cardiac Monitoring in Smart Healthcare},
  author={Aiguo Wang and Liang Zhao and Xianhong Wu},
  journal={2022 IEEE International Conference on Consumer Electronics - Taiwan},
  year={2022},
  pages={91-92},
  url={https://api.semanticscholar.org/CorpusID:252017842}
}
An intelligent system that can remotely collect heart sounds, process the signals, and predict common cardiac diseases with the trained machine learning model is developed.

Figures from this paper

DETECTION OF CARDIAC ARREST BY USING WRIST WORN (BLOOD FLOW SENSOR)

A novel approach for the detection of cardiac arrest using a blood flow sensor designed to continuously monitor blood flow in real-time and detect abnormalities indicative of cardiac arrest is proposed.

AIoT in Healthcare: A Systematic Mapping Study

A Systematic Mapping Study (SMS) is conducted to provide critical information about various applications of AIoT in healthcare and to categorizeAIoT research based on annual number of publications, publication venues, and journal distribution.

An AoI-Aware Data Transmission Algorithm in Blockchain-Based Intelligent Healthcare Systems

A remote intelligent healthcare system based on blockchain is constructed, aiming to achieve the minimum Age of Information (AoI) and energy consumption of medical data transmission while ensuring the security of intelligent healthcare data.

Análisis bibliográfico de las tecnologías Iot en la Telemedicina para el tratamiento de enfermedades cardiovasculares

La medicina ha avanzado significativamente, pero persisten desafíos en la atención sanitaria, especialmente en zonas rurales. La telemedicina, apoyada por el Internet de las cosas (IoT), ofrece una

uHealth: Smart Clothing Enable d Intelligent Ubiquitous Health Monitoring System

The design of smart clothing is introduced and the architecture of uHealth, a smart clothing-based ubiquitous health monitoring system, is proposed to collect physiological signals and behavioral data of the users and to support high-level applications.

Wearable Devices in Medical Internet of Things: Scientific Research and Commercially Available Devices

Wearable health care devices, with the help of improved technology, have been developed greatly and are considered reliable tools for long-term health monitoring systems.

Heart Disease and Stroke Statistics—2020 Update: A Report From the American Heart Association

This year's edition of the Statistical Update includes data on the monitoring and benefits of cardiovascular health in the population, metrics to assess and monitor healthy diets, an enhanced focus on social determinants of health, a focus on the global burden of cardiovascular disease, and further evidence-based approaches to changing behaviors, implementation strategies, and implications of the American Heart Association’s 2020 Impact Goals.

Functional genomics and gene-environment interaction highlight the complexity of Congenital Heart Disease caused by Notch pathway variants.

A gene-environment interaction in mouse embryos between Notch1 heterozygosity and low oxygen- or anti-arrhythmic drug-induced gestational hypoxia, resulting in an increased incidence of heart defects is demonstrated, implying that exposure to environmental insults such as Hypoxia could explain variable expressivity and penetrance of observed CHD in families carrying Notch pathway variants.

The effect of human mobility and control measures on the COVID-19 epidemic in China

Real-time mobility data from Wuhan and detailed case data including travel history are used to elucidate the role of case importation in transmission in cities across China and to ascertain the impact of control measures.

Et al

A large population-based survey of veterans and nondeployed controls found evidence of a deployment-related Gulf War syndrome by factor analysis in Air Force veterans and controls.