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Journal : Proceeding of the Electrical Engineering Computer Science and Informatics

Automated Post-Trabeculectomy Bleb Assesment by Using Image Processing Agwin Fahmi Fahanani; Hasballah Zakaria; Andika Prahasta; Elsa Gustianty; R. Maula Rifada; Astrid Chairini
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (660.332 KB) | DOI: 10.11591/eecsi.v4.1002

Abstract

Glaucoma is a second leading cause of blindness after cataract. Glaucoma caused by unbalance absorption of aqueus humour so it increase intraocular pressure. As a result, it surpresses nerve cells so that nerve cells can not get enough blood flow as nutrition intake and can lead to permanent blindness. One of the treatment for glaucoma is by surgical procedure, called trabeculectomy. After the surgery a slightly lifted tissue due to passing fluid, called bleb, should appears. Bleb assesment is necessary to examine the successful of trabeculectomy surgery. One of standard assesment is Indiana Bleb Appearance Grading Scale (IBAGS). Ophthalmologist used this standard to grade the bleb images manually so the result is subjective. This work offered a new approach to standardize the system of bleb assessment by computer software. Features related to bleb height, width and vascularity were extracted from the bleb image by using image processing algorithm. The KNN algorithm then used to classify the image according the IBAGS. The proposed method has successfully increased the Cohen’s kappa coefficient from 0.56 to 0.63. Therefore, it potentially reduced the subjectivity of the bleb grading.
Non-invasive Hemoglobin Measurement for Anemia Diagnosis Raditya Artha Rochmanto; Hasballah Zakaria; Ratih Devi Alviana; Nurhalim Shahib
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1219.779 KB) | DOI: 10.11591/eecsi.v4.1003

Abstract

Hemoglobin is important part of red blood cell to transport oxygen and carbon dioxide. Hemoglobin concentration in the blood can be used as physical condition parameter. A low hemoglobin level is called anemia and high hemoglobin level is called polycythemia. WHO has determined the anemia cut off level of hemoglobin concentration based on age, sex, and condition (pregnant or not). Currently, accurate and reliable hemoglobin concentration measurement uses invasive methods such as cyanmethemoglobin  and  automated  hematology  analyzer.  But these methods are expensive, not real time, high infection risk, and need special techniques. Non-invasive methods offer a better alternative because it has low infection risk, instant result, and portable in size. This work developed a non-invasive hemoglobin measurement for anemia diagnosis based on optical spectroscopy. The system utilized LED and photodiode as optical sensor placed on the fingertip. Photodiode just could obtain DC component, so the signal conditioning circuit which consisted of HPF, LPF and amplifier was used to obtain the AC component of the signal.  This system used microcontroller to control the operation of the hardware and to calculate the hemoglobin concentration.Hemoglobin is important part of red blood cell to transport oxygen and carbon dioxide. Hemoglobin concentration in the blood can be used as physical condition parameter. A low hemoglobin level is called anemia and high hemoglobin level is called polycythemia. WHO has determined the anemia cut off level of hemoglobin concentration based on age, sex, and condition (pregnant or not). Currently, accurate and reliable hemoglobin concentration measurement uses invasive methods such as cyanmethemoglobin and  automated  hematology analyzer. But these methods are expensive, not real time, high infection risk, and need special techniques. Non-invasive methods offer a better alternative because it has low infection risk, instant result, and portable in size. This work developed a non-invasive hemoglobin measurement for anemia diagnosis based on optical spectroscopy. The system utilized LED and photodiode as optical sensor placed on the fingertip. Photodiode just could obtain DC component, so the signal conditioning circuit which consisted of HPF, LPF and amplifier was used to obtain the AC component of the signal. This system used microcontroller to control the operation of the hardware and to calculate the hemoglobin concentration.