An approach towards realizing the intelligent sphygmogram sampling for e-home healthcare

Lei, Wai Kei; Ming, Dong; Fang, Wei Xuan; Hu, Xiang

doi:10.1016/j.cmpb.2012.06.003

Cited by 4 publications

(2 citation statements)

References 9 publications

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“…A remote monitoring mechanism for patients and their family members is urgently needed in HISs, even though the delivery of automatic notifications and warnings to family members is currently the most basic requirement of an HIS [ 29 ]. Smart healthcare should be easily accessible and shared in community health facilities and care centers.…”

Section: Introductionmentioning

confidence: 99%

An IoT-Based Smart System with an MQTT Broker for Individual Patient Vital Sign Monitoring in Potential Emergency or Prehospital Applications

Tsao

Cheng

et al. 2022

Emergency Medicine International

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Emergency care is a critical area of medicine whose outcomes are influenced by the time, availability, and accuracy of contextual information. The success of critical or emergency care is determined by the quality and accuracy of the information received during the emergency call and the data collected during emergency transportation. The Internet of Things (IoT) consists of many smart devices and components that communicate via their connection to the Internet, which is used to collect data with sensors that obtain personal health parameters. In the past, most health measurement systems were based on a single dedicated orientation, and few systems had multiple devices on the same platform. In addition to traditional health measurement technologies, most such systems use centralized data transmission, which means that health measurement data have become the exclusive intellectual asset of the system developer. Therefore, this study develops an IoT-based message-broker system that is deployed and demonstrated for five health devices: blood oxygen, blood pressure, forehead temperature, body temperature, and body weight sensors. A central controller accessed by radio-frequency identification (RFID) collects clients’ health profiles on the cloud platform. All collected data can be quickly shared, analyzed, and visualized, and the health devices can be changed, added to, and removed reliably when the requirements change. Additionally, following the message queuing telemetry transport (MQTT) protocol, all devices can communicate with each other and be integrated into a higher-level health measurement standard (such as blood pressure plus weight or body temperature plus blood oxygen). We implement a smart healthcare monitoring system (SHMS) and verify its reliability. We use MQTT to establish an open communication format that other organizations can follow to perform individual patient vital sign monitoring in potential applications. The robustness and flexibility of this research can be verified through the addition of other systems. Through this structure, more large-scale health detection devices can be integrated into the method proposed in this research in the future. Personal RFID or health insurance cards can be used for personal services or in medical institutions, and the data can easily be shared through the mechanism of this research. Such information sharing will enable the utilization of medical resources to be maximized.

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Section: Introductionmentioning

confidence: 99%

An IoT-Based Smart System with an MQTT Broker for Individual Patient Vital Sign Monitoring in Potential Emergency or Prehospital Applications

Tsao

Cheng

et al. 2022

Emergency Medicine International

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show abstract

“…The IOT middleware integration server in Internet of things and the perception layer, transport layer in the embedded devices, mainly for data proofreading of perception, collection, plays a more important role in the Internet of things. The cloud computing is based on network computing task distribution in a large number of computer constitute pool of resources, the user can use the network according to the demand for computing power with the storage space and information services [21].…”

Section: Figure 5 the Sensors And Electronics Served For The Iot Systemmentioning

confidence: 99%

Research on the Modern Intelligent Healthcare Platform from the Perspectives of Grid based Cloud Computing and Information Management System Assisted Internet of Things Technology

Feng¹

2016

IJGDC

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Signal-to-noise ratio estimation based on Haar wavelet for cardiovascular bio-signals in web-based e-healthcare system

Zeng

Dong

2015

Multimed Tools Appl

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An approach towards realizing the intelligent sphygmogram sampling for e-home healthcare

Cited by 4 publications

References 9 publications

An IoT-Based Smart System with an MQTT Broker for Individual Patient Vital Sign Monitoring in Potential Emergency or Prehospital Applications

An IoT-Based Smart System with an MQTT Broker for Individual Patient Vital Sign Monitoring in Potential Emergency or Prehospital Applications

Research on the Modern Intelligent Healthcare Platform from the Perspectives of Grid based Cloud Computing and Information Management System Assisted Internet of Things Technology

Signal-to-noise ratio estimation based on Haar wavelet for cardiovascular bio-signals in web-based e-healthcare system

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