A comprehensive review on usage of Internet of Things (IoT) in healthcare system

Darshan, K R; Anandakumar, K.

doi:10.1109/erect.2015.7499001

Cited by 145 publications

(69 citation statements)

References 12 publications

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“…Using this digital data, the controller converts it into the actual temperature value in degree Celsius using the equation: temperature (°C) = [raw ADC value*5/4095-(400/1000)]*(19.5/1000) The heartbeat sensor is based on the principle of photo phlethysmography. It measures the change in volume of blood through any organ of the body which causes a change in the light intensity through that organ (a vascular region) [7]. The digital pulses are given to a microcontroller for calculating the heat beat rate, given by the formula:…”

Section: Sensorsmentioning

confidence: 99%

Iot Based Health Monitoring System

K.Abhinay¹,

D.Vignesh²,

Srikar³

et al. 2020

jcr

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Healthcare is given the extreme importance now a-days by each country with the advent of the novel corona virus. So in this aspect, an IoT based health monitoring system is the best solution for such an epidemic. Internet of Things (IoT) is the new revolution of internet which is the growing research area especially in the health care. With the increase in use of wearable sensors and the smart phones, these remote health care monitoring has evolved in such a pace. IoT monitoring of health helps in preventing the spread of disease as well as to get a proper diagnosis of the state of health, even if the doctor is at far distance. In this paper, a portable physiological checking framework is displayed, which can constantly screen the patient's heartbeat, temperature and other basic parameters of the room. We proposed a nonstop checking and control instrument to screen the patient condition and store the patient information's in server utilizing Wi-Fi Module based remote correspondence. A remote health monitoring system using IoT is proposed where the authorized personal can access these data stored using any IoT platform and based on these values received, the diseases are diagnosed by the doctors from a distance.

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Section: Sensorsmentioning

confidence: 99%

Iot Based Health Monitoring System

K.Abhinay¹,

D.Vignesh²,

Srikar³

et al. 2020

jcr

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“…These days, a vast amount of the human population has possession of a cell phone with an embedded global positioning system (GPS) connected to mobile networks via base stations using different generations of cellular mobile communications, such as second (global system for mobile communications) (2G), third (universal mobile https://doi.org/10.1016/j.snb.2019.127098 Received 1 August 2019; Received in revised form 29 August 2019; Accepted 4 September 2019 telecommunications system) or fourth (long term evolution (LTE)/ worldwide interoperability for microwave access). Connecting the easy to use and cost-effective POC devices providing the DENV diagnoses via a mobile network would create an Internet of Things (IoT) [15] for healthcare [16,17], an essential tool to tackle any infectious disease outbreak. The IoT would speed up the information transfer from POC devices to a centralized location and then based on models using big data analysis [12,18,19], suggest targeting specific sites.…”

Section: Introductionmentioning

confidence: 99%

IoT PCR for pandemic disease detection and its spread monitoring

Zhu

Podešva

Liu

et al. 2020

Sensors and Actuators B: Chemical

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A B S T R A C TDuring infectious disease outbreaks, the centers for disease control need to monitor particular areas. Considerable effort has been invested in the development of portable, user-friendly, and cost-effective systems for point-of-care (POC) diagnostics, which could also create an Internet of Things (IoT) for healthcare via a global network. However, at present IoT based on a functional POC instrument is not available. Here we show a fast, user-friendly, and affordable IoT system based on a miniaturized polymerase chain reaction device. We demonstrated the system's capability by amplification of complementary deoxyribonucleic acid (cDNA) of the dengue fever virus. The resulting data were then automatically uploaded via a Bluetooth interface to an Androidbased smartphone and then wirelessly sent to a global network, instantly making the test results available anywhere in the world. The IoT system presented here could become an essential tool for healthcare centers to tackle infectious disease outbreaks identified either by DNA or ribonucleic acid.

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“…According to Darshan and Anandakumar (2015), IoT remote health monitoring systems has various advantages over traditional health monitoring systems. Health sensors allows patients to wear them 24 hours by day for monitoring.…”

Section: Introductionmentioning

confidence: 99%

“…Using this statistics, surveillance and risk drawing of diseases can be completed using remote health data. Also according to Darshan and Anandakumar (2015), using IoT, systems are able to analyse and predict health disorders in early stage through data forecast techniques applied to generated data. There are people who, when they have a health problem, can make an appointment in a clinic with a doctor they trust.…”

Section: Introductionmentioning

confidence: 99%

A systematic literature review of data forecast and internet of things on the e-health landscape

Fischer¹,

Righi²,

Rodrigues³

et al. 2019

IJCMH

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Internet of things (IoT) is a constantly expanding paradigm that promises to revolutionise healthcare applications and could be associated with several other techniques. Data forecast is another paradigm widely used, where data captured over time are analysed in order to identify and predict problematic situations that may happen in the future. After research, we did not find surveys that address IoT combined with data prediction in healthcare area in literature. In this context, this work presents a systematic literature review on internet of things applied to e-health landscape with a focus on data forecast, presenting as results 14 papers about this theme, and a comparative analysis between them. Our main contribution for literature is a taxonomy for IoT systems with data forecast applied to healthcare. Finally, this paper presents some possibilities and challenges of exploration in the study field, showing existing gaps for future approaches.

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A comprehensive review on usage of Internet of Things (IoT) in healthcare system

Cited by 145 publications

References 12 publications

Iot Based Health Monitoring System

Iot Based Health Monitoring System

IoT PCR for pandemic disease detection and its spread monitoring

A systematic literature review of data forecast and internet of things on the e-health landscape

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