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Journal : Journal of Fuzzy Systems and Control (JFSC)

Stroke Patient Communication Tool with Touch Sensor and Phrase Time Step Aji Pratama, Fajar; Safitri, Meilia; Loniza , Erika; Probo Santoso, Henry
Journal of Fuzzy Systems and Control Vol. 2 No. 1 (2024): Vol. 2, No. 1, 2024
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jfsc.v2i1.164

Abstract

The purpose of this prototype is to enhance communication between stroke patients and their caregivers, as difficulty in understanding the nuanced wishes of stroke patients often leads to a reduced quality of life for the patients and increased caregiver depression. This study aimed to address these challenges by providing a more effective means of interpreting the desires of stroke patients during their interactions with their caregivers. The prototype utilizes a dual-input system to capture the intricate communication dynamics. The first input involves recording the finger movements of the patient through touch interaction with the TTP223 touch sensor area. In contrast, the second input comprises a time-step phrase that serves as a complementary mechanism for selecting communication phrases. The combination of these inputs is processed using Boolean logic, specifically employing basic AND logic, in which both inputs must register as high to yield a correspondingly high output. The ESP32 microcontroller processes the output signal, and the resulting information is displayed on both an LCD screen and a dedicated Telegram application. The prototype achieved a notable accomplishment of 100% accuracy in reading inputs.
Evaluating the Impact of Cliplimit Parameters and Viewing Distance on Image Clarity in Vein Viewer Akbar Zakawali, Azriel Dutta; Loniza, Erika; Safitri, Meilia; Ahmad Baballe, Muhammad
Journal of Fuzzy Systems and Control Vol. 2 No. 1 (2024): Vol. 2, No. 1, 2024
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jfsc.v2i1.173

Abstract

Detection of veins is a critical aspect of intravenous catheterization, but it is a challenging task prone to errors, which can lead to complications such as discomfort or vessel damage. To address this issue, Vein Viewer, an auxiliary tool that employs an infrared camera, has been used to enhance vein visibility. This device captures a subcutaneous venous map using an infrared camera and then processes the images using a Raspberry Pi to display them in real-time on an LCD. This study aims to improve the use of Vein Viewer by analyzing its performance in relation to cliplimit adjustments and varying distances from the skin surface. Our findings indicate that the clearest images are obtained with cliplimits of 500 at 10 cm, 300 at 20 cm, and 400 at 30 cm. These results provide valuable insights into the optimal use of Vein Viewer and offer a practical approach to improve the accuracy of vein detection and reduce the rate of intravenous catheterization errors, ultimately enhancing patient care.
A Design and Testing of Electrosurgery Unit Safitri, Meilia; Pranata, Adrian; Irfan, Muhammad; Ibrahim, Muhammad Hamka
Journal of Fuzzy Systems and Control Vol. 1 No. 2 (2023): Vol. 1, No. 2, 2023
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jfsc.v1i2.31

Abstract

Bleeding during surgery is common in major surgical operations. So, it is not recommended to make an incision using a conventional scalpel. As an alternative to replacing a conventional scalpel, an electric scalpel or know as electrosurgery unit (ESU) is made by utilizing a high frequency whose duty cycle can be adjusted and then being focused on one point is a solution to prevent bleeding. This research will design a bipolar electric scalpel or bipolar electrosurgical unit with a frequency of 210-250 KHz and an input voltage of 50-90 VDC to perform pure cuts on chicken meat samples. The box pulse frequency will be generated from IC 4069. The output of the oscillator generator will read the high and low voltage on the Arduino Nano digital pin. The current will be amplified at the oscillator output and then processed in the inverter driver circuit. The selection of the DC input voltage will use a voltage driver circuit. The inverter driver output and voltage driver will be step-up to get a maximum power of 10.4W with a resistance of 100Ω at a frequency setting of 210 KHz and an input voltage of 90 VDC and a minimum power of 1.4W with a resistance of 100Ω at a frequency setting of 250 KHz and input voltage 50 VDC.