Health Monitoring Based on Internet of Things (IoT)

Balsamo, Domenico; Das, Saptarshi

doi:10.1201/9780429113390-4

Cited by 3 publications

(2 citation statements)

References 34 publications

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“…The serial software library enables serial contact with any digital pin of the Mega2560. I2C and SPI communications are also supported by ATmega2560 [25]. The Arduino Mega is used in the proposed system to connect the three nodes to it and serially extract the readings of the nodes.…”

Section: B To Monitormentioning

confidence: 99%

Integrating Wearable Devices for Intelligent Health Monitoring System

2021

IJCCCE

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It is known that many individuals suffer from chronic diseases such as heart disease, high blood pressure, and sleep apnea, which requires constant monitoring, which is only found in the hospital, and the high cost that the individual cannot afford, especially at present. This paper proposes a system through which an individual can monitor vital signs and can use the wearable device by himself without the need for assistance. Wearable devices have been used from the sensors where the proposed system uses six sensors which are the electrocardiogram, the pulse oximeter, heart rate, blood pressure, skin temperature, temperature, and humidity as it collects data and then transfers it via Wi-Fi to the microcontroller on the Internet of things. The results of the sensors have been successfully obtained. Finally, linked them to the Blynk platform that displays the desired results for the individual. Index Terms— Arduino Nano3, Arduino Mega, Blynk platform, Healthcare system, Internet of Thing, Raspberry pi3 model B, Sensors, Wearable Devices.

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Section: B To Monitormentioning

confidence: 99%

Integrating Wearable Devices for Intelligent Health Monitoring System

2021

IJCCCE

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“…IoT concept can be utilized in versatile areas such as intelligent health care system, intelligent agriculture, environmental impact predictions, automation industries, etc. [1,2,3,4]. World Health Organization (WHO) [5] mentions that the uncertainty of health conditions is a widespread problem for aged people.…”

Section: Introductionmentioning

confidence: 99%

Internet of Things (IoT) Based ECG System for Rural Health Care

Rahman¹,

Kashem²,

Nayan³

et al. 2021

IJACSA

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Nearly 30% of the people in the rural areas of Bangladesh are below the poverty level. Moreover, due to the unavailability of modernized healthcare-related technology, nursing and diagnosis facilities are limited for rural people. Therefore, rural people are deprived of proper healthcare. In this perspective, modern technology can be facilitated to mitigate their health problems. ECG sensing tools are interfaced with the human chest, and requisite cardiovascular data is collected through an IoT device. These data are stored in the cloud incorporates with the MQTT and HTTP servers. An innovative IoT-based method for ECG monitoring systems on cardiovascular or heart patients has been suggested in this study. The ECG signal parameters P, Q, R, S, T are collected, preprocessed, and predicted to monitor the cardiovascular conditions for further health management. The machine learning algorithm is used to determine the significance of ECG signal parameters and error rate. The logistic regression model fitted the better agreements between the train and test data. The prediction has been performed to determine the variation of PQRST quality and its suitability in the ECG Monitoring System.Considering the values of quality parameters, satisfactory results are obtained. The proposed IoT-based ECG system reduces the health care cost and complexity of cardiovascular diseases in the future.

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