Designing ECG Monitoring Healthcare System Based on Internet of Things Blynk Application

Hasan, Dathar Abas; Ismaeel, Ayad Ghany

doi:10.38094/jastt1336

Cited by 30 publications

(14 citation statements)

References 14 publications

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“…The realization of radio frequency identification mainly depends on the radio signal. With the help of the radio signal, it can accurately identify the relevant information of the specified object [ 2 ]. RF identification technology is an important perception node of the IoT.…”

Section: Related Workmentioning

confidence: 99%

The Application of a Computer Monitoring System Using IoT Technology

Zhu

2022

Computational Intelligence and Neuroscience

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Through the information exchange of the Internet of Things, resources in multiple fields can be integrated to provide users with more comprehensive, diverse, and high-quality services. The computer monitoring system can effectively improve the intelligence and networking of the office and is widely used in many industries. The application of Internet of Things technology can effectively improve the intelligence and networking of computer monitoring systems. The Internet of Things technology can realize the interaction between things and people, help the computer monitoring system to obtain the required information, and truly realize comprehensive monitoring. Based on this, this paper first introduces the basic technology of the Internet of Things technology and analyzes the main points of the computer monitoring technology based on the Internet of Things at this stage and then takes a computer monitoring system as the research object, and further analyzes the computer monitoring system based on the Internet of Things technology to help relevant personnel better apply IoT technology to computer monitoring systems.

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Section: Related Workmentioning

confidence: 99%

The Application of a Computer Monitoring System Using IoT Technology

Zhu

2022

Computational Intelligence and Neuroscience

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“…The selection of support vector is very important for the classification task. The auxiliary solution of classification line can be carried out through support vector [ 21 ]. When the two-dimensional space corresponding to the simple binary classification problem is extended to the high-dimensional space, it is not the category that the classification line can solve.…”

Section: Overview Of Relevant Technologiesmentioning

confidence: 99%

Detection and Application of Wearable Devices Based on Internet of Things in Human Physical Health

Lou¹,

Yang

2022

Computational Intelligence and Neuroscience

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In order to improve the detection function of wearable intelligent devices in the Internet of things and facilitate people to control a variety of information such as heart rate, exercise state, blood oxygen saturation, and so on, the scientific detection of human physical health based on wearable devices based on Internet of things technology is proposed. Through the combination of software- and hardware-related functional modules, the real-time detection of human physical health information can be effectively realized. Firstly, the detection principle of optical capacitance product pulse wave signal and the waveform characteristics of pulse wave are introduced, and then the application scenarios and advantages of wearable devices are further introduced; then, the convolutional neural network for pulse wave signal denoising and the basic principle of self-encoder are introduced; finally, the regression prediction method and support vector machine method for pulse wave signal feature extraction are introduced in detail. The pulse wave based on optical capacitance product is removed to improve the waveform quality of pulse wave signal. Firstly, the system software development environment is briefly described. Then, the software design of watch terminal master device based on MSP432 and belt terminal slave device based on MSP430 are described in detail, and the detailed program implementation flow of each key technology in the system is given. In addition, the fall detection algorithm based on threshold discrimination is studied, and the program implementation of the algorithm is also described in detail. Finally, the system is tested. The results show that normal state mainly include normal walking, jogging, and fast sitting, and the accuracy rate is 97%, 95%, and 93%, respectively. For fall state, the experimenter needs to simulate various possible fall states, and the accuracy rate is 95%, 93%, and 95%, respectively, which verifies the detection accuracy of the algorithm. The system can automatically turn on the satellite positioning function when the user’s physical sign parameters are abnormal or the user’s current fall dangerous situation occurs, and send the current position information and alarm content information through the GSM module, so that the dangerous situation can be found and handled at the first time.

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“…The proposed ECG allows the physician to monitor the patient remotely via the Blynk IoT app installed on the patient's smartphone. The monitoring process can be performed anytime and anywhere without the need to physically come to the hospital [10].…”

Section: Related Workmentioning

confidence: 99%

Remote Monitoring Solution for Cardiovascular Diseases based on Internet of Things and PLX-DAQ add-in

BILONG¹,

BOSSOU²,

SIE³

et al. 2022

IJACSA

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Access to health remains a real problem in Africa especially for the follow up of patients with chronic diseases. Many cases of heart attack deaths are still recorded before victims can access treatment. This is due to several factors, namely the insufficient number of cardiologists, the inaccessibility of hospitals with adequate infrastructure, the carelessness and ignorance of people about their health. In response to these limitations, internet of Things, thanks to its remarkable technological contribution, allow to follow from afar and easily patient's condition. In this paper, we offer a ubiquitous surveillance solution distance from patients with cardiovascular disease in order to minimize or eliminate the risk of heart attacks. The proposed solution is based on a microservice architecture and consists of two essential parts that are data acquisition and data transfer. It will allow the patient to access their physical data and submit them in real time to the doctor through a dedicated medical application. The doctor will then be able to analyse the data obtained and return a prescription to the patient in case of abnormality .We used the microcontroller Arduino esp8066, the heart Rate Monitor AD8232 ECG (electrocardiogram) to measure the electrical activity of the heart that can be traced as an ECG, a pulse-eater, a photoresistor LDR and an potentiometer to regulate and modify the current flow in the circuit. We also used add-in PLX-DAQ for data acquisition and Jira software for data transfer to the doctor. Our solution is inexpensive and allows people not yet suffering from cardiovascular disease to prevent it.

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Designing ECG Monitoring Healthcare System Based on Internet of Things Blynk Application

Cited by 30 publications

References 14 publications

The Application of a Computer Monitoring System Using IoT Technology

The Application of a Computer Monitoring System Using IoT Technology

Detection and Application of Wearable Devices Based on Internet of Things in Human Physical Health

Remote Monitoring Solution for Cardiovascular Diseases based on Internet of Things and PLX-DAQ add-in

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