Air Bubble Detection Based on Portable mm- Wave Doppler Radars

Author(s):  
Davi V. Q. Rodrigues ◽  
Daniel Rodriguez ◽  
Victor Pugliese ◽  
Marshall Watson ◽  
Changzhi Li
Keyword(s):  
2018 ◽  
Author(s):  
L Schoevaerdts, ◽  
◽  
L Esteveny ◽  
G Borghesan ◽  
M Ourak ◽  
...  

Author(s):  
Teruaki Ito

Product quality is one of the critical issues to be competitive in the global market place. Especially, food production companies are strongly required to control high product quality in their production lines. The contaminations such as metallic, or plastic, organic materials are harmful to human body and should be eliminate as much as possible. Therefore, machine inspections, such as X-ray or fluorescence spectrum methods work effectively to eliminate these contamination substances. However, the final inspections are taken care of by human inspectors to make sure the product quality kept in the required specifications. Contaminations are not perfectly eliminated by machine inspections and human inspections could cover some of them. That is not the only reason why the human inspector takes care of. Even though there is no contamination in the products, appearance of products may decrease the quality of the products. For example, even though air bubble has nothing to do with the taste of Tofu, customers do not purchase such Tofu which contains many air bubbles, whereas they would buy Tofu with some air bubble. Therefore, human inspectors review the Tofu package to check the defective products because of the air bubble, which is hard to be processed by machine inspection. This study proposes image processing-based air bubble detection method on Tofu packages to inspect the product quality without image sensor devices. Based on the results of air bubble detection on the Tofu package, the evaluation will be made on each package. The study applied an evaluation criterion based on the experiments. However, the results are not always identical to those by human inspection because of the disagreement of threshold value in evaluation. This paper presents the image-processing air bubble detection method to determine the quality of Tofu products and discusses the feasibility of this method in comparison with the human inspection results.


2015 ◽  
Vol 771 ◽  
pp. 116-120
Author(s):  
Pratondo Busono

Hemodialysis is one of the treatment methods for the patients with end stage renal disease. It is conducted through the use of artificial kidney or dialyzer, located outside of the human body. During the hemodialysis therapy, small air bubbles may infiltrate through the blood tubing and coalesce to perform the larger bubble which can be harmfull for the patient if entering the patient’s blood circulatory system. The objective of this work is to develop an ultrasonic based air bubble detection system as well as the safety system, mainly the electronic system, for hemodialysis machine application. The safety systems consits an electronic for activating visual and sound alarms, and tube clamp. It is used for preventing the embolism during the hemodialysis therapy. The research method covers the conceptual design, detail design, prototyping and performance testing for both hardware and software. The hardware system consists of air detector module, analog circuitry which consists of transmitter and receiver, digital circuitry with DSP based SOM (system on module) and I/O interface. The software system has two main functions. It is for controlling the hardware and processing the signals digitally. The integration between the hardware and the software making the system be able to detect the presence of air bubble. In addition, the software had possess the capability for triggering a tube clamp as well as activating visual and audio alarms. The tubing clamp was used to stop the fluid flow in the blood tubing and prevent an air bubble from entering the patient circulatory system. The validation test was conducted to verify the functionality of the system. For testing purposes, an experimental flow loop was constructed. This loop consits of peristaltic pump, bubble injector, tube clamp, air flow meter, liquid flow meter, and bubble detector. Several test runs by using simulated blood (Dextran 70 solution) were performed. To test the performance of bubble detection system, comparison between measurement of PWM signals conducted using the DSP and oscilloscope was presented in this work. It shows that error procentage between two types of measurement is less than 5%.


2011 ◽  
Vol 115 (3) ◽  
pp. 626-629 ◽  
Author(s):  
Maurice S. Albin ◽  
David S. Warner

Clinical Considerations Concerning Detection of Venous Air Embolism. By Maurice S. Albin, Robert G. Carroll, Joseph C. Maroon. Neurosurgery 1978; 3:380-84. Abstract used with permission from the Congress of Neurological Surgeons, copyright 1978. Venous air embolism during neurosurgical procedures (detected by Doppler ultrasound and aspiration via a right atrial catheter) was noted in 100 of 400 patients in the sitting position, 5 of 60 patients in the lateral position, 7 of 48 patients in the supine position, and 1 of 10 patients in the monitored prone position. We confirmed venous air embolism in many of these patients by using serial technetium-microaggregated albumin lung scans. Gravitational gradients from the venous portal of entrance to the right side of the heart were as small as 5.0 cm, with aspiration of 200 ml of air occurring. Doppler ultrasonic air bubble detection and aspiration through a previously inserted right atrial catheter are critical factors in the diagnosis and treatment of this condition.


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