IOT clinic-Internet based patient monitoring and diagnosis system

Divakaran, Sindu; Manukonda, Lavanya; Sravya, N; Morais, Magda; Janani, P.

doi:10.1109/icpcsi.2017.8392243

Cited by 21 publications

(9 citation statements)

References 3 publications

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“…When measure the ECG signal, it need to direct connection with the patient's skin, which it is set the electrodes on the body, and used different methods to obtain the ECG signal. So it is used the AD8232 3-chanell ECG sensor that is high accuracy and cost-effective solution to obtain ECG data [4], [10].AD8323 have three electrode was connected to right Aram(RA), left Aram (LA) and right leg (RL) respectively, [13], [9] . fig.2.…”

Section: Heart Respond Measurementmentioning

confidence: 99%

“…Oxygen saturation (spo2) is a measurement of how much blood oxygen is carrying as a percentage of the maximum it could carry [10]. The oxygen saturation measured by max 30100 that illustrate in fig.3.…”

Section: Blood Oxygenation Monitoringmentioning

confidence: 99%

“…In 2017, Divakaran et al [10] had design system that used many type of medical sensor to build diagnosis system to collect data and exchange data with central station of monitoring for interpretation. The system uses STM32F429 microcontroller as a web server and ROST as an operating system to handle request data.…”

Section: Introductionmentioning

confidence: 99%

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Design Health care system using Raspberry Pi and ESP32

Alsahi¹,

Marhoon²

2020

IJCA

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The focus of this paper is to implement an intelligent health care system based on internet of thing (IOT) for the measurement of the vital signs like pulse rate, temperature, spo2, ECG, using (ESP32 div kit v1) for wireless wearable sensor controller and raspberry pi 3 as a server. With the system proposed, the doctor can save work time to visit the patients that responsible about them and any facilitates monitoring the huge number of patients. The WI-FI technology is utilized as a communication tool to allow transmission the data remotely. The data of patient are sent to the web server to be stored in the database and view the data on the web page anywhere and anytime using smart devices and alert the doctor to any abnormal state. This work with the intelligent health care system provide an efficient medical service ,by collecting and recording the informant that include heart rate, ECG, temperature and spo2 that enable the doctor to monitor his patient with flexibility and confidence .

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Section: Heart Respond Measurementmentioning

confidence: 99%

Section: Blood Oxygenation Monitoringmentioning

confidence: 99%

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Design Health care system using Raspberry Pi and ESP32

Alsahi¹,

Marhoon²

2020

IJCA

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“…An innovative web-based remote healthcare diagnostic system is demonstrated by Divakaran and Manukonda [8] that provides vital medical data and live video images of a patient who is situated in rural areas. This data is accessible to a health professional located anywhere in urban cities which results in better diagnosis and treatment of that patient.…”

Section: Literature Surveymentioning

confidence: 99%

“…This system minimizes the risk of getting the worse condition of the patient. The continuous advances in the semiconductor technology, sensors, and microcontrollers reduce the cost of the system whereas increases its efficiency [7], [8].…”

Section: Introductionmentioning

confidence: 99%

Remote Patient Health and Medicine Monitoring by Data Logging using IOT

Yadgire¹,

Bogiri²

2019

IJITEE

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Considering the day by day rapid increase in the population of the world, providing appropriate healthcare to elderly or unwell people becomes a crucial issue and needs high attention from mainly medical, also industrial and academic fields of the society. Nowadays on the Internet of Things (IoT), there is extensive research on finding the solution for improving the quality of life of the people. In this Project we are presenting a prototype of a health monitoring system which is based on IoT and makes use of wearable sensors, thereby providing remote and continuous monitoring of a patient’s health. The system continuously monitors the patient’s heartbeat, temperature and medicines consumed, by using a web application. Various sensors will be used such as heartbeat sensor and temperature sensor for patients as well as load sensor to get data about how many medicines patient have and when to refill the medicine box. Based on the values acquired from temperature and heartbeat sensor predictions are given about the patient’s condition. All sensors will be communicating with an application through a remote web server where all data will be hosted using IoT protocols.

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