Health Care Monitoring System for Paralysis Patient

Health Care Monitoring System for Paralysis Patient is an open-access, peer-reviewed research paper by Mrs. X. Ignatius Selvarani1, M. Abdul Ajis2, M. Ahamed Adhil3, Soorya R4, published in Volume 13, Issue 3 of the International Journal of Advanced Research in Science and Technology (IJARST), a UGC-approved journal (Print ISSN 2319-1783, Online ISSN 2320-1126).

Author

Mrs. X. Ignatius Selvarani1, M. Abdul Ajis2, M. Ahamed Adhil3, Soorya R4

Abstract

Falls pose significant risks for elderly and physically challenged individuals, presenting a prominent concern in public health care. Detecting falls remains a crucial challenge within this domain. This study proposes a Health Care Monitoring System for detecting falls and monitoring pulse rates among paralyzed patients using Internet of Things (IoT) technology. IoT facilitates the interconnection of various smart devices, a concept with widespread applicability. Specifically, an Arduino-based IoT device has been developed to detect falls, primarily targeting elderly individuals living alone. Prompt assistance is vital in such scenarios to prevent further harm, as falls often result in serious injuries and may leave individuals unable to seek help. The primary objective of this project is to implement fall detection on an Arduino-based device, utilizing an accelerometer to sense the person's position along three axes. Upon fall detection, the device automatically notifies a designated caretaker through both a phone call and SMS alert.

DOI

https://doi.org/10.62226/ijarst20241333

PAGES : 1282-1287 | 5 VIEWS | 3 DOWNLOADS

How do you cite this paper?

Mrs. X. Ignatius Selvarani1, M. Abdul Ajis2, M. Ahamed Adhil3, Soorya R4 — “Health Care Monitoring System for Paralysis Patient.” International Journal of Advanced Research in Science and Technology (IJARST), Volume 13, Issue 3. DOI: https://doi.org/10.62226/ijarst20241333.


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Mrs. X. Ignatius Selvarani1, M. Abdul Ajis2, M. Ahamed Adhil3, Soorya R4 | Health Care Monitoring System for Paralysis Patient | DOI : https://doi.org/10.62226/ijarst20241333

Journal Frequency: ISSN 2320-1126, Monthly
Paper Submission: Throughout the month
Acceptance Notification: Within 6 days
Subject Areas: Engineering, Science & Technology
Publishing Model: Open Access
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Publication Impact Factor: 6.76
Certificate Delivery: Digital

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