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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM20817

HEART ATTACK DETECTION AND CONVULSIONS MONITORING USING IOT

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM20817

Volume:

7 |

5 |

May 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

J

Jeyalakshimi.M

N

Nagapraba.K

Nj

Nishitha joan.I

N

Nivetha.S

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Abstract

These days we have an increased number of heart diseases including increased risk of heart attacks. Our proposed system users sensors that allow to detect heart rate of a person using heartbeat sensing even if the person is at home. The sensor is then interfaced to a microcontroller that allows checking heart rate readings and transmitting them over internet.The user may set the high as well as low levels of heart beat limit.After setting these limits, the system starts monitoring and as soon as patient heart beat goes above a certain limit, the system sends an alert to the controller which then transmits this over the internet and alerts the doctors as well as concerned users. Also the system alerts for lower heartbeats. Whenever the user logs on for monitoring, the system also displays the live heart rate of the patient. Thus concerned ones may monitor heart rate as well get an alert of heart attack to the patient immediately from anywhere and the person can be saved on time And also construct an convulsions patient health monitoring to intimate to IOT and LCD.

KEYWORDS

Arduino Ide Esp8266 Wifi Module SPO2 Sensor (MAX30100) Accelerometer Sensor

Cite This Article

Jeyalakshimi.M, Nagapraba.K, Nishitha joan.I, Nivetha.S, "HEART ATTACK DETECTION AND CONVULSIONS MONITORING USING IOT," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 5, May 2023. https://doi.org/10.55041/IJSREM20817

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Publication Date

11/4/2023

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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5

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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