Development of the Fuzzy Logic System for Monitoring of Patient Health
Norma Ramírez‐Asís, Ursula Lezameta‐Blas, Anil Kumar Bisht, G. Arunkumar, Jose Rodriguez‐Kong, D. Saravanan · 2024
Rising healthcare expenses are a big issue for many people and governments. The high expense of the conventional hospital-based monitoring and care method has prompted researchers to look for cheaper alternatives. One way involves sending mobile equipment to patients’ houses for remote monitoring and diagnosis. Enhancing the VLSI system by utilizing a single embedded chip for computation. Cell phone and Wi-Fi connection are used to improve the current framework and mobile-based health monitoring system. One of the promising options that might be used in future healthcare systems is radio frequency identification (RFID) technology. Vital sign sensors, such as those for measuring temperature, blood pressure (BP), heartbeat, sugar level, and oxygen level in the blood, may be incorporated into RFID tags for use in patient identification and monitoring. A mobile RFID-based healthcare system is proposed here, along with its design, implementation, and testing. The system includes portable wireless data acquisition equipment for vital signs and a fuzzy logic algorithm for continuous monitoring and assessment of patient health. The patient's condition is diagnosed using a set of fuzzy criteria based on his or her body temperature, blood pressure, heartbeat, oxygen level, and breathing per minute. The system is measured against the current gold standard in the industry, the Modified Early Warning Score (MEWS), to see how well it performs. The proposed system is superior to the MEWS system in several tests, demonstrating the efficacy of this fuzzy logic technique.