Optimizing the utilization of heat energy in blood transfusion warmer using closed system method

Arisgraha, Franky Chandra Satria; Trisnawan, Bayu; Supadi,

doi:10.1063/5.0034908

Cited by 2 publications

(2 citation statements)

References 1 publication

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“…A blood temperature that is either too high or too low, which can result in the blood becoming frozen or damaged, is one of the factors that may cause human death during the blood transfusion operation. Because blood transfusion warmers consume a substantial amount of electricity, some people have problems using them [10]. Using Temperature Control in Research There are various advantages of using fuzzy logic when designing a temperature control system.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Logic Temperature Control on Blood Warmer Equipped with Patient Temperature and Blood Temperature

Hafizh,

Hamzah,

Syaifudin

2024

Indones.J.electronic.electromed.med.inf

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Body temperature in humans varies greatly depending on the location where the reading is taken. Normal core body temperature in humans is maintained by the hypothalamus and usually ranges from 36.5°C to 37.5°C. One of the causes of the failure of Too high or too low of a temperature during the blood transfusion procedure may cause blood to freeze or get damaged, both of which can be fatal to humans, therefore the purpose of this tool is to lower blood temperature admission to the patient can be achieved so that there is no temperature drop or temperature drop and so that the blood is not too hot because it can cause damage to red blood cells. This study uses the DS18B20 Sensor to control the heater with PID and Fuzzy controls, the MLX90614 Sensor to adjust the temperature according to the patient's body temperature and the Optocoupler Sensor as an indicator when fluids run out. Previous studies have not used the MLX90614 sensor to detect patient body temperature, have not used TFT Nextion and have not used Fuzzy controls. This Fuzzy control is used as a heater control which then the results are displayed on the Nextion TFT. The results of this study obtained the highest error value of 0.09 with an average error value of 0.04 and obtained the highest overshoot value of 0.8. From the results of the above study it can be concluded that by using the Fuzzy control the response time is slower with a larger overshoot. In the creation of this tool, the benefits that can be derived for the community are facilitating the monitoring of patient temperature and blood temperature during blood transfusions using the Blood Warmer device. The device is also equipped with sensors to detect patient and blood temperatures, and it comes with a Nextion TFT display. Therefore, this device is crucial in assisting the community in performing Blood Transfusions.

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Section: Introductionmentioning

confidence: 99%

Fuzzy Logic Temperature Control on Blood Warmer Equipped with Patient Temperature and Blood Temperature

Hafizh,

Hamzah,

Syaifudin

2024

Indones.J.electronic.electromed.med.inf

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“…One of the variables that may lead to human mortality during the blood transfusion procedure is a blood temperature that is either too high or too low, which can cause the blood to become frozen or damaged. Some users also find that the electrical power needs of the best Blood Transfusion Warmers on the market are too high [7]. Using additional PID control (Proportional Integral Derivative), the next researcher developed a Blood Warmer tool titled Arduino AT Mega 2560-Based Robust PID Temperature and Humidity Control for Baby Incubator, which has the advantage of a faster system response for achieving the point setting value and can minimise the maximum overshoot of 5% and the average signal error of 5%.…”

Section: Introductionmentioning

confidence: 99%

PID Temperature Control on Blood Warmer Equipped with Patient Temperature and Blood Temperature

Santoso,

Hamzah,

Syaifudin

et al. 2023

Indones.J.electronic.electromed.med.inf

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Body temperature in humans varies greatly depending on the location where the reading is taken. Normal core body temperature in humans is maintained by the hypothalamus and usually ranges from 36.5°C to 37.5°C. One of the causes of failure in the blood transfusion process can cause death in humans, one of the factors is the blood temperature that is too high or too low during the blood transfusion process can cause the blood to become frozen or damaged, therefore the purpose of this tool is to lower the blood temperature admission to the patient can be achieved so that there is no reduction in temperature or decrease in temperature and so that the blood is not allowed to get too hot because it can cause damage to red blood cells. This study uses the DS18B20 Sensor to control the heater with PID and Fuzzy controls, the MLX90614 Sensor to set the temperature according to the patient's body temperature and the Optocoupler Sensor as an indicator when fluids run out. When using the PID control with Kp = 4, Ki = 1, and Kd = 4, a faster response time is obtained and there is an overshoot with the highest error value of 0.77 and an average error value of 0.02. The results of the study are displayed on the TFT Nextion. From the results of the research above, it can be concluded that using PID control the response time is faster, but there are drawbacks to high overshoot.

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Optimizing the utilization of heat energy in blood transfusion warmer using closed system method

Cited by 2 publications

References 1 publication

Fuzzy Logic Temperature Control on Blood Warmer Equipped with Patient Temperature and Blood Temperature

Fuzzy Logic Temperature Control on Blood Warmer Equipped with Patient Temperature and Blood Temperature

PID Temperature Control on Blood Warmer Equipped with Patient Temperature and Blood Temperature

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