IOT based health monitoring systems

Gupta, Naina; Saeed, Hera; Jha, Shambhu Kumar; Chahande, Manisha; Pandey, Sujata

doi:10.1109/iciiecs.2017.8276181

Cited by 19 publications

(5 citation statements)

References 10 publications

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“…IoT-based health monitoring programs by Naina Gupta et al [15] put forward a framework aimed at solving the problem of time wastage during ambulance services and hospitals, forcing data transmission via GSM module via Bluetooth technology.…”

Section: Literature Surveymentioning

confidence: 99%

Design of Smart Health Monitoring System for Disease Detection

2023

J. Infor. Electr. Electron. Eng.

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The most valuable asset is one's health. However, there isn't much free time for today's people to keep an eye on their health. A health monitoring system that tracks users automatically is necessary to alert users to their health status. Rapid advancement in internet and technology provides improvement in the health system. In the conventional method, people are required to visit their doctors on a regular basis for health checkups. The use of technology in the health monitoring system can save valuable time by having the health status automation. Additionally, the cloud, which revolutionized data transformation, contributes to the development of a better and more dependable health monitoring system. One of the most important technology-based systems has been the healthcare monitoring systems, humans struggle with the problem of premature mortality because people with various ailments don't receive prompt medical care. The main objective was to create a trustworthy smart health monitoring system so that medical professionals could keep an eye on their patients, whether they were in a hospital or at home, using the proposed integrated healthcare system to ensure better and more dependable care. A prototype of health monitoring system is created, and it will have a number of cutting-edge features that will revolutionize the healthcare sector, with less reliance on human labor and greater efficiency in tasks like temperature monitoring, ECG-analysis, ambient temperature and humidity supervising, oxygen level recording, and BPM monitoring, this system will work autonomously. Body temperature, BPM, oxygen, temperature, and humidity sensors are included in the system to help maintain optimal health. The system's accuracy, reliability, sensitivity, usability, and scalability will be tested through comprehensive testing and validation in actual healthcare settings. This enables proactive and individualized health management. The results are anticipated to develop healthcare technologies and improve the standard of healthcare services.

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Section: Literature Surveymentioning

confidence: 99%

Design of Smart Health Monitoring System for Disease Detection

2023

J. Infor. Electr. Electron. Eng.

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“…The IoT-based framework addresses the problem of time waste in ambulatory services and hospitals by requiring data to be sent through a global system for mobile communication (GSM) module connected via Bluetooth technology. The primary emphasis is on routine health checks and monitoring various bodily characteristics with the aid of various sensors connected to the body [20]. Experiments have shown that heart illness may be treated, managed, and avoided by using ECG signals in a continuous data monitoring method [21].…”

Section: Introductionmentioning

confidence: 99%

Internet of things based electrocardiogram monitoring system using machine learning algorithm

Rahman

Shamrat

Kashem

et al. 2022

IJECE

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<span>In Bangladesh’s rural regions, almost 30% of the population lives in poverty. Rural residents also have restricted access to nursing and diagnostic services due to obsolete healthcare infrastructure. Consequently, as cardiac failure occurs, they usually fail to call the services and adopt the facilities. The internet of things (IoT) offers a massive advantage in addressing cardiac problems. This study proposed a smart IoT-based electrocardiogram (ECG) monitoring system for heart patients. The system is divided into several parts: ECG sensing network (data acquisition), IoT cloud (data transmission), result analysis (data prediction) and monetization. P, Q, R, S, and T are ECG signal properties fetched, pre-processed, analyzed and predicted to age level for future health management. ECG data are saved in the cloud and accessible via message queuing telemetry transport (MQTT) and hypertext transfer protocol (HTTP) servers. The linear regression method is utilized to determine the impact of electrocardiogram signal characteristics and error rate. The prediction was made to see how much variation there was in PQRST regularity and its sufficiency to be utilized in an ECG monitoring device. Recognizing the quality parameter values, acceptable outcomes are achieved. The proposed system will diminish future medical costs and difficulties for heart patients.</span>

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“…The excessive expectation and discharge of widespread information with inside the IoT surroundings indicate that the value of information will lessen very soon. According to the WHO, 4.9 million human beings died from lungs cancer, overweight 2.6 million, 4.4 million for accelerated cholesterol, and 7.1 million for excessive blood pressure [1]. Hypertension is a common sickness this is especially answerable for cardiac/stroke mortality of just about all continual illnesses.…”

Section: Introductionmentioning

confidence: 99%

“…Hypertension is a common sickness this is especially answerable for cardiac/stroke mortality of just about all continual illnesses. But at now, a restrained number of far off HRV evaluation structures is to be had for high blood pressure affected person that permits the medical doctors to music down the development of the affected person's fitness circumstance or crucial troubles with inside the rural area [1]. These clever gadgets are additionally high quality to a fitness expert to preserve a watch on personally their sufferers.…”

Section: Introductionmentioning

confidence: 99%

“…They pressure to switch the records thru a GSM module join via Bluetooth technology. Methodical fitness test and tracking of the unique frame parameters with the assist of the unique sensors connected to the frame is the primary recognition of this paintings [1]. In [2], a low-fee IoT device for multi-affected person ECG's tracking is brought.…”

Section: Introductionmentioning

confidence: 99%

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2022

IJERECE

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The not unusual place healthcare advantages with crafty decisions, execute super communications technology that can produce creative communities. Health performs a prime role in our everyday routine. Real-time fitness tracking for initial detection of lifestyles alarming sicknesses via superior sensing and conversation era typically make contributions boost treatment to shop the lives of patients. The predominant goal of this task is to expand a machine with the intention to deliver frame temp, MAX 30100 oxygen sensor and pulse sensor as well. Plus the Controller ESP32 Dev board is interfaced with the sensors. For patients security system by using Python software and serially connected laptop to ESP 32.Wireless records transmission is processed the usage of Arduino via the Wi-Fi module. The controller ESP32 is applied for Wireless records transmission on IOT method the usage of an android app BLYNK. Visually digitalizing the records on a Blynk Android App. Patient`s report of records might be saved over a duration of time. The records is saved the usage of an Android app with a view to control the tool the usage of the app.

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IOT based health monitoring systems

Cited by 19 publications

References 10 publications

Design of Smart Health Monitoring System for Disease Detection

Design of Smart Health Monitoring System for Disease Detection

Internet of things based electrocardiogram monitoring system using machine learning algorithm

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