Health Care Monitoring System for Paralysis Patient
Journal Title: International Journal of Advanced Research in Science and Technology (IJARST) - Year 2024, Vol 13, Issue 3
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.
Authors and Affiliations
Mrs. X. Ignatius Selvarani1, M. Abdul Ajis2, M. Ahamed Adhil3, Soorya R4
Keywords
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- EP ID EP737951
- DOI 10.62226/ijarst20241333
- Views 35
- Downloads 0
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