Fuzzy control of oxygen gas content for premature labor infants oxygen therapy

Chanyagorn, Pornchai; Kiratiwudhikul, Phattaradanai

doi:10.1109/elinfocom.2016.7563026

Cited by 3 publications

(4 citation statements)

References 9 publications

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“…In order for the control algorithms to operate effectively, it is necessary to have accurate information about the oxygen saturation levels in the mixed gas. Typically, it is very common to use gas flow sensors, but this brings high costs and difficulty in finding such devices, mainly due to the COVID-19 pandemic [ 24 , 25 , 26 ]. However, the proposed methodology in this study is based on pressure sensors, which offers a cost-effective alternative.…”

Section: Related Workmentioning

confidence: 99%

A New Model of Air–Oxygen Blender for Mechanical Ventilators Using Dynamic Pressure Sensors

Soares,

Fernandes,

Almeida

et al. 2024

Sensors

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Respiratory diseases are among the leading causes of death globally, with the COVID-19 pandemic serving as a prominent example. Issues such as infections affect a large population and, depending on the mode of transmission, can rapidly spread worldwide, impacting thousands of individuals. These diseases manifest in mild and severe forms, with severely affected patients requiring ventilatory support. The air–oxygen blender is a critical component of mechanical ventilators, responsible for mixing air and oxygen in precise proportions to ensure a constant supply. The most commonly used version of this equipment is the analog model, which faces several challenges. These include a lack of precision in adjustments and the inspiratory fraction of oxygen, as well as gas wastage from cylinders as pressure decreases. The research proposes a blender model utilizing only dynamic pressure sensors to calculate oxygen saturation, based on Bernoulli’s equation. The model underwent validation through simulation, revealing a linear relationship between pressures and oxygen saturation up to a mixture outlet pressure of 500 cmH2O. Beyond this value, the relationship begins to exhibit non-linearities. However, these non-linearities can be mitigated through a calibration algorithm that adjusts the mathematical model. This research represents a relevant advancement in the field, addressing the scarcity of work focused on this essential equipment crucial for saving lives.

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Section: Related Workmentioning

confidence: 99%

A New Model of Air–Oxygen Blender for Mechanical Ventilators Using Dynamic Pressure Sensors

Soares,

Fernandes,

Almeida

et al. 2024

Sensors

View full text Add to dashboard Cite

show abstract

“…In addition to the electromechanical part, the control system is essential for an air–oxygen blender, since the reliability of a mixer depends on the precision with which the controller is applied. One way is through the use of Fuzzy control, as proposed by [ 62 ]. As it is a digital control, a microcontroller is used to execute a Fuzzy algorithm.…”

Section: Main Technologies In Air–oxygen Blendersmentioning

confidence: 99%

“…From the experiments, they concluded that Fuzzy control adjusted the lower

values for the patient about the control using a rule base, an average of 23.49%

for Fuzzy control, and 49.99%

for rule-based control. Thus, it was observed that Fuzzy control reduced the risk of excessive exposure to oxygen while increasing the risk of hypoxia [ 62 ]. The average results obtained are shown in the Table 1 .…”

Section: Main Technologies In Air–oxygen Blendersmentioning

confidence: 99%

Air–Oxygen Blenders for Mechanical Ventilators: A Literature Review

Soares

Almeida

Menezes

et al. 2022

Sensors

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Respiratory diseases are one of the most common causes of death in the world and this recent COVID-19 pandemic is a key example. Problems such as infections, in general, affect many people and depending on the form of transmission they can spread throughout the world and weaken thousands of people. Two examples are severe acute respiratory syndrome and the recent coronavirus disease. These diseases have mild and severe forms, in which patients gravely affected need ventilatory support. The equipment that serves as a basis for operation of the mechanical ventilator is the air–oxygen blender, responsible for carrying out the air–oxygen mixture in the proper proportions ensuring constant supply. New blender models are described in the literature together with applications of control techniques, such as Proportional, Integrative and Derivative (PID); Fuzzy; and Adaptive. The results obtained from the literature show a significant improvement in patient care when using automatic controls instead of manual adjustment, increasing the safety and accuracy of the treatment. This study presents a deep review of the state of the art in air–oxygen benders, identifies the most relevant characteristics, performs a comparison study considering the most relevant available solutions, and identifies open research directions in the topic.

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“…Researches and designs on therapeutic devices have been done, among others are the development of an artificial arm for the therapeutic process using a microcontroller system by Ali et al [11], the design of a closed loop laser diode temperature control system for photodynamic therapy applications by Kazan, Guler, and Yildiz [12], the development of portable shock wave therapy devices using PIC microcontrollers by Song, Lin, and Chen [13], the development of hand therapy devices for cerebral palsy on the FKE-UiTM capstone design subject by Som et al [14], Neuro-based racing cars for cognitive training by Azman, Mansor and Lee [15], the wound healing therapy machine by Kapoor [16], the design and application of new motorized traction devices by Fidan and Coban [17], Fuzzy control of oxygen gas content for oxygen therapy in preterm labor by Chanyagorn and Kiratiwudhikul [18], transferring electromyogram signals between body parts by Hamed et al [19], and interactive speech therapy sessions using linear prediction coding in Matlab and Arduino by Vijayalakshmi and Priya [20].…”

Section: Introductionmentioning

confidence: 99%

Aroma Electric Therapy Equipment with Atmega8 -Based Heart Rate Monitoring

Widadi

Manzila

Ahmad

et al. 2020

jrc

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Aromatherapy is an alternative treatment method that uses essential oil vapors from various plants inhaled for health therapy. It affects mood, reduces fatigue and anxiety, and stimulates relaxation. Relaxation is the process of relieving anxiety or stress. It is interpreted as a calm state with a normal pulse. When someone is stressful and anxious, the pulse is higher. Measuring the level of anxiety is done by measuring the heart rate. The research aimed to design an electric aromatherapy device equipped with Atmega 8-based heart rate monitoring as a therapeutic tool that can help reduce various kinds of health problems, one of which is anxiety or stress disorder. The test was carried out by comparing the values of the heart rate monitoring to a pulse oximeter. The oximeter was used as a reference to get high accuracy values. The device is expected to help reduce various kinds of health problems caused by heart problems.

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Fuzzy control of oxygen gas content for premature labor infants oxygen therapy

Cited by 3 publications

References 9 publications

A New Model of Air–Oxygen Blender for Mechanical Ventilators Using Dynamic Pressure Sensors

A New Model of Air–Oxygen Blender for Mechanical Ventilators Using Dynamic Pressure Sensors

Air–Oxygen Blenders for Mechanical Ventilators: A Literature Review

Aroma Electric Therapy Equipment with Atmega8 -Based Heart Rate Monitoring

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