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ECG Web Services for Patient Health Monitoring in Internet of Things

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Authors:
Jyoti L. Khachane, Latika R. Desai
10.5120/ijca2016911156

Jyoti L Khachane and Latika R Desai. ECG Web Services for Patient Health Monitoring in Internet of Things. International Journal of Computer Applications 148(6):26-30, August 2016. BibTeX

@article{10.5120/ijca2016911156,
	author = {Jyoti L. Khachane and Latika R. Desai},
	title = {ECG Web Services for Patient Health Monitoring in Internet of Things},
	journal = {International Journal of Computer Applications},
	issue_date = {August 2016},
	volume = {148},
	number = {6},
	month = {Aug},
	year = {2016},
	issn = {0975-8887},
	pages = {26-30},
	numpages = {5},
	url = {http://www.ijcaonline.org/archives/volume148/number6/25763-2016911156},
	doi = {10.5120/ijca2016911156},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

Now a day people are facing many health related problems. There is large amount of data that is not structured. The gathered information is raw and unstructured in the nature, so there is a need of converting it to meaningful services. In this paper such system is developed which will provide web service that will be available to any other person easily. Every person should get the healthcare services anywhere, every time even at their home also. For this purpose a platform is developed so that patient specially senior citizens can know their electro Cardiogram (ECG) or also can be said as heart rate, oxygen rate, temperature rate, through an android mobile application specially developed for the healthcare. This overall concept is developed under the Internet of Things as well as cloud computing environment. App which is developed named as ‘Patient Health Monitoring’. This paper gives an idea about Adriano kit which used in the project. This paper also gives an idea about the sensors which are used to measure above mentioned measures. A Bluetooth sensors is also used here for the connectivity. Server will be any network connection such as Wi-Fi.

References

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Keywords

Web Service Discovery, Restful Web Services, Internet of Things, ECG, Arduino kit.