A Wearable Electrocardiogram Telemonitoring System for Atrial Fibrillation Detection

Shao, Minggang; Zhou, Zhuhuang; Bin, Guangyu; Bai, Yanping; Wu, Shuicai

doi:10.3390/s20030606

Cited by 39 publications

(35 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is suitable for a program with a complex task or a large set of data with an unknown formula. Machine learning techniques have great potential to assist the healthcare industry and researchers in the diagnosis of CVD and have been used in the literature [90][91][92][93][94] for CVD prediction and classification.…”

Section: Machine Learningmentioning

confidence: 99%

“…They are Amazon Web Service [150], Microsoft Azure [151], and Google AutoML [152]. Cloud computing applications are currently being used not only to offer online healthcare to people but are also being used for monitoring and diagnosing various diseases, which also includes the prediction and classification of CVD diseases [91,93,94,133,134,136,137].…”

Section: Cloud Computingmentioning

confidence: 99%

“…Primary physiological parameters, such as pulse rate, blood pressure, electrocardiograph, body analysis, blood glucose saturation, weight, physical and sleeping activity, are being monitored and managed by various commercialized SBDAs. In the case of CVD prediction and classification, SBDAs have been extensively used [93,94,132,137]. Furthermore, SBDAs offer the capability of providing telemedicine opportunities in remote locations while also enabling real-time on-site analysis and is largely due to advancements in communication standards, remote sensing, software, and cloud computing.…”

Section: Smartphone-based Devices and Applicationsmentioning

confidence: 99%

See 2 more Smart Citations

Advances of ECG Sensors from Hardware, Software and Format Interoperability Perspectives

et al. 2021

View full text Add to dashboard Cite

It is well-known that cardiovascular disease is one of the major causes of death worldwide nowadays. Electrocardiogram (ECG) sensor is one of the tools commonly used by cardiologists to diagnose and detect signs of heart disease with their patients. Since fast, prompt and accurate interpretation and decision is important in saving the life of patients from sudden heart attack or cardiac arrest, many innovations have been made to ECG sensors. However, the use of traditional ECG sensors is still prevalent in the clinical settings of many medical institutions. This article provides a comprehensive survey on ECG sensors from hardware, software and data format interoperability perspectives. The hardware perspective outlines a general hardware architecture of an ECG sensor along with the description of its hardware components. The software perspective describes various techniques (denoising, machine learning, deep learning, and privacy preservation) and other computer paradigms used in the software development and deployment for ECG sensors. Finally, the format interoperability perspective offers a detailed taxonomy of current ECG formats and the relationship among these formats. The intention is to help researchers towards the development of modern ECG sensors that are suitable and approved for adoption in real clinical settings.

show abstract

Section: Machine Learningmentioning

confidence: 99%

Section: Cloud Computingmentioning

confidence: 99%

Section: Smartphone-based Devices and Applicationsmentioning

confidence: 99%

See 1 more Smart Citation

Advances of ECG Sensors from Hardware, Software and Format Interoperability Perspectives

et al. 2021

View full text Add to dashboard Cite

show abstract

“…At present, common databases include MySQL, Oracle and Access. The MySQL database is adopted in this project, which has the characteristics of less occupied resources, good security performance and opens source code, is suitable for industrial Internet control system [34]. According to the functional requirements of the control system of sewage treatment pump station, the design database mainly consists of user management, alarm list, historical trend, real-time trend, report management and other data tables.…”

Section: Mysql Database Designmentioning

confidence: 99%

“…performance and opens source code, is suitable for industrial Internet control system [34]. According to the functional requirements of the control system of sewage treatment pump station, the design database mainly consists of user management, alarm list, historical trend, real-time trend, report management and other data tables.…”

Section: Mysql Database Designmentioning

confidence: 99%

Renovation of Automation System Based on Industrial Internet of Things: A Case Study of a Sewage Treatment Plant

Zhu

Wang

Zhang

2020

Sensors

View full text Add to dashboard Cite

The Industrial Internet of Things (IIoT) is of great significance to the improvement of industrial efficiency and quality, and to reduce industrial costs and resources. However, there are few openly-reported practical project applications based on the IIoT up to now. For legacy automation devices in traditional industry, it is especially challenging to realize the upgrading of industrial automation adopting the IIoT technology with less investment. Based on the practical engineering experience, this paper introduces the automation renovation of a sewage treatment plant. The legacy automation devices are upgraded by the central controller of a STM32 processor (Produced by STMicroelectronics company, located in Geneva, Switzerland), and the WeChatApplet (Developed by Tencent company, located in Shenzhen, China) is used as the extended host computer. A set of remote monitoring and control systems of sewage treatment based on the IIoT is built to realize the wide-area monitoring and control of sewage treatment. The paper describes the field hardware system, wide-area monitoring and control application program, management cloud platform and security technologies in detail. The actual operation results show that the monitoring system has the requirements of high accuracy, good real-time performance, reliable operation and low cost.

show abstract

Cloud‐Integrated Smart Nanomembrane Wearables for Remote Wireless Continuous Health Monitoring of Postpartum Women

Matthews,

Soltis,

Villegas‐Downs

et al. 2024

Advanced Science

View full text Add to dashboard Cite

Noncommunicable diseases (NCD), such as obesity, diabetes, and cardiovascular disease, are defining healthcare challenges of the 21st century. Medical infrastructure, which for decades sought to reduce the incidence and severity of communicable diseases, has proven insufficient in meeting the intensive, long‐term monitoring needs of many NCD disease patient groups. In addition, existing portable devices with rigid electronics are still limited in clinical use due to unreliable data, limited functionality, and lack of continuous measurement ability. Here, a wearable system for at‐home cardiovascular monitoring of postpartum women—a group with urgently unmet NCD needs in the United States—using a cloud‐integrated soft sternal device with conformal nanomembrane sensors is introduced. A supporting mobile application provides device data to a custom cloud architecture for real‐time waveform analytics, including medical device‐grade blood pressure prediction via deep learning, and shares the results with both patient and clinician to complete a robust and highly scalable remote monitoring ecosystem. Validated in a month‐long clinical study with 20 postpartum Black women, the system demonstrates its ability to remotely monitor existing disease progression, stratify patient risk, and augment clinical decision‐making by informing interventions for groups whose healthcare needs otherwise remain unmet in standard clinical practice.

show abstract

A Wearable Electrocardiogram Telemonitoring System for Atrial Fibrillation Detection

Cited by 39 publications

References 37 publications

Advances of ECG Sensors from Hardware, Software and Format Interoperability Perspectives

Advances of ECG Sensors from Hardware, Software and Format Interoperability Perspectives

Renovation of Automation System Based on Industrial Internet of Things: A Case Study of a Sewage Treatment Plant

Cloud‐Integrated Smart Nanomembrane Wearables for Remote Wireless Continuous Health Monitoring of Postpartum Women

Contact Info

Product

Resources

About