RP3MES: A Key to Minimize Infection Spreading.

Area of Science:

• Biomedical Engineering
• Embedded Systems
• Healthcare Technology

Background:

• High patient-to-doctor ratios in populated countries like India strain healthcare facilities.
• Remote patient monitoring is crucial for managing hospital admissions and infectious diseases.
• Existing systems may lack portability, cost-effectiveness, or low power consumption.

Purpose of the Study:

• To design and validate a Remote Patient Physiological Parameter Monitoring using Embedded System (RP3MES).
• To address key issues including portability, cost-effectiveness, low power consumption, accuracy, and remote communication.
• To facilitate vital parameter monitoring (heart rate, body temperature) and emergency notifications.

Main Methods:

• Utilized an ARM Cortex M3 embedded processor and low-cost sensors for cost-effectiveness and low power consumption.
• Integrated an alarming unit for remote caregiver notification.
• Employed Lin's Concordance Correlation Coefficient and Bland-Altman analysis for accuracy verification.

Main Results:

• Achieved a system accuracy of 99.4% compared to the gold standard.
• Demonstrated wireless connectivity to minimize infection transmission.
• Presented a comparison with commercially available systems.

Conclusions:

• The RP3MES is a portable, cost-effective, and accurate solution for remote patient monitoring.
• The system can reduce the burden on healthcare staff and improve patient care, especially in high-demand settings.
• Wireless capabilities enhance safety by minimizing infection transmission among caregivers and family members.