Patient Status Monitoring For Smarthome Healthcare

The purpose of this project is to create a patient status monitoring system for smart home healthcare. The suggested setup monitors the patient's vital signs and activity levels using wireless sensors and Wi-Fi technologies. The system gathers information from a variety of sensors, including...

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Bibliographic Details
Main Author: Ping, Vivian Thomas
Format: Final Year Project Report
Language:English
English
Published: Universiti Malaysia Sarawak (UNIMAS) 2023
Subjects:
Online Access:http://ir.unimas.my/id/eprint/43024/1/Vivian%20Ping%20Thomas%20%2824pgs%29.pdf
http://ir.unimas.my/id/eprint/43024/4/Vivian%20Ping%20ft.pdf
http://ir.unimas.my/id/eprint/43024/
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Institution: Universiti Malaysia Sarawak
Language: English
English
id my.unimas.ir.43024
record_format eprints
spelling my.unimas.ir.430242024-01-04T06:45:57Z http://ir.unimas.my/id/eprint/43024/ Patient Status Monitoring For Smarthome Healthcare Ping, Vivian Thomas T Technology (General) The purpose of this project is to create a patient status monitoring system for smart home healthcare. The suggested setup monitors the patient's vital signs and activity levels using wireless sensors and Wi-Fi technologies. The system gathers information from a variety of sensors, including heart rate, concentration of oxygen level and body temperature. The acquired data is subsequently sent to a cloud server for analysis and processing. The analyzed data are used to deliver real-time information on the patient's health state to caregiver and medical experts, which enables immediate actions and medical attention. The system is designed to be easily integrated into the existing smart home infrastructure and is intended to improve the quality of life and health outcomes of the patient’s population in urban areas. All the objectives have been accomplished. Due to a significant inaccuracy, the outcome is, nevertheless, not very precise. The average percentage of inaccuracy for LM 35 was determined to be 4.43%. Meanwhile for MAX30102, which can detect concentration of oxygen level and heart rate have a percentage error of 0.6% and 9.7%. Universiti Malaysia Sarawak (UNIMAS) 2023 Final Year Project Report NonPeerReviewed text en http://ir.unimas.my/id/eprint/43024/1/Vivian%20Ping%20Thomas%20%2824pgs%29.pdf text en http://ir.unimas.my/id/eprint/43024/4/Vivian%20Ping%20ft.pdf Ping, Vivian Thomas (2023) Patient Status Monitoring For Smarthome Healthcare. [Final Year Project Report] (Unpublished)
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
English
topic T Technology (General)
spellingShingle T Technology (General)
Ping, Vivian Thomas
Patient Status Monitoring For Smarthome Healthcare
description The purpose of this project is to create a patient status monitoring system for smart home healthcare. The suggested setup monitors the patient's vital signs and activity levels using wireless sensors and Wi-Fi technologies. The system gathers information from a variety of sensors, including heart rate, concentration of oxygen level and body temperature. The acquired data is subsequently sent to a cloud server for analysis and processing. The analyzed data are used to deliver real-time information on the patient's health state to caregiver and medical experts, which enables immediate actions and medical attention. The system is designed to be easily integrated into the existing smart home infrastructure and is intended to improve the quality of life and health outcomes of the patient’s population in urban areas. All the objectives have been accomplished. Due to a significant inaccuracy, the outcome is, nevertheless, not very precise. The average percentage of inaccuracy for LM 35 was determined to be 4.43%. Meanwhile for MAX30102, which can detect concentration of oxygen level and heart rate have a percentage error of 0.6% and 9.7%.
format Final Year Project Report
author Ping, Vivian Thomas
author_facet Ping, Vivian Thomas
author_sort Ping, Vivian Thomas
title Patient Status Monitoring For Smarthome Healthcare
title_short Patient Status Monitoring For Smarthome Healthcare
title_full Patient Status Monitoring For Smarthome Healthcare
title_fullStr Patient Status Monitoring For Smarthome Healthcare
title_full_unstemmed Patient Status Monitoring For Smarthome Healthcare
title_sort patient status monitoring for smarthome healthcare
publisher Universiti Malaysia Sarawak (UNIMAS)
publishDate 2023
url http://ir.unimas.my/id/eprint/43024/1/Vivian%20Ping%20Thomas%20%2824pgs%29.pdf
http://ir.unimas.my/id/eprint/43024/4/Vivian%20Ping%20ft.pdf
http://ir.unimas.my/id/eprint/43024/
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