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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| Main Author: | |
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| Format: | Final Year Project Report |
| Language: | English English |
| Published: |
Universiti Malaysia Sarawak (UNIMAS)
2023
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| 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 |
| Summary: | 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%. |
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