Enhancement Drip Dose Infusion Accuracy Based on Optocoupler and Microcontroller Sensor

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.

Section: Introductionmentioning

confidence: 99%

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

Hafizh,

Hamzah,

Syaifudin

2024

“…The infusion chamber might also be larger or smaller depending on the infusion set brand. To prepare for the future, we need to create an optocoupler sensor that can be installed reliably in all brands [16].…”

Section: Introductionmentioning

confidence: 99%

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

Santoso,

Hamzah,

Syaifudin

et al. 2023

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.

“…Macro drip is use for adult patient, and micro drip for child patient. [10] However, these medical device can sometime have inaccurate measurements. In some hospitals, the infusion is still done manually, where medical personnel observe the liquid droplets directly and then control the rate using a mechanical resistor (clamp).…”

Section: Introductionmentioning

confidence: 99%

Accuracy of Infrared Photodiode Sensors at The Flowrate Measurement in Infusion Device Analyzer with 2 Channel TFT Display

Azizah,

Rahmawati,

Syaifudin

2023

The use of infusion is crucial for patient healing. Infusion refers to a fluid that consists of drugs, nutrients, and hydration delivered continuously into the patient's bloodstream over a specific period. One of the types of infusion devices is the infusion pump and syringe pump. These devices play a vital role in accurately and precisely controlling the volume or flow rate of fluids. However, continuous usage of these devices can sometimes result in inaccurate measurements, which can affect their overall accuracy. The accuracy of these devices is crucial for proper dosage administration to patients, particularly in critical situations. Therefore, it is necessary to periodically calibrate healthcare devices, at least once a year, as specified in Ministry of Health Regulation No. 54 of 2015. Calibration is an activity performed to determine the true value of a device. The objective of this study is to develop an Infusion Device Analyzer (IDA) with a TFT LCD display that showcases graphical representations of flow rate parameters. By analyzing the calculation of flow rate values using Infrared Photodiode sensors, the stability of the flow rate graph can be observed on a 7-inch TFT LCD display. The measurement involved the use of two different brands of syringe pumps and two different brands of infusion pumps. The results were presented in real-time on the 7-inch TFT LCD display, both in graphical and numerical formats. Additionally, the data was transmitted via Bluetooth to a PC, allowing the graph to be simultaneously displayed in a Delphi program.The measurement results revealed performance errors when using the Terumo Syringe Pump with Terumo syringes in Channel 1, with values of 0.45% (10 ml/h), 0.72% (50 ml/h), and 0.40% (100 ml/h). In Channel 2, the errors were 0.32% (10 ml/h), 0.40% (50 ml/h), and 0.32% (100 ml/h). When using the B-Braun Syringe Pump with B-Braun syringes, Channel 1 exhibited errors of 0.45% (10 ml/h), 0.7% (50 ml/h), and 0.85% (100 ml/h), while Channel 2 had errors of 0.8% (10 ml/h), 0.3% (50 ml/h), and 1% (100 ml/h). In the case of the Terumo Infusion Pump with Terumo Infusion Sets, Channel 1 showed errors of 0.4% (10 ml/h), 0.5% (50 ml/h), and 0.45% (100 ml/h), and Channel 2 exhibited errors of 0.32% (10 ml/h), 0.4% (50 ml/h), and 0.72% (100 ml/h). Lastly, when using the B-Braun Infusion Pump with B-Braun Infusion Sets, Channel 1 had errors of 0.72% (10 ml/h), 1% (50 ml/h), and 1,2% (100 ml/h), while Channel 2 displayed errors of 0.8% (10 ml/h), 0.72% (50 ml/h), and 0,4% (100 ml/h).INDEX TERMS Infrared Photodiode Sensor, Calibration, Real Time, Flow Rate.