Hendi Handian Rachmat
Teknik Elektro Institut Teknologi Nasional (ITENAS) Bandung

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EVALUASI RESISTANSI SENSITIVITAS MODUL GALVANIC SKIN RESPONSE BERBASIS ARDUINO NANO Rachmat, Hendi Handian; Say, Marinus Moang Laurentius
Jurnal Media Elektro Vol 12 No 2 (2023): Oktober 2023
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jme.v12i2.11809

Abstract

In this study, we evaluated the sensitivity of a Galvanic Skin Response (GSR) sensor to measure human stress levels based on skin conductivity of two fingers. The goal of this evaluation was to define the optimum sensitivity resistance of the Wheatstone bridge circuit in the GSR sensor to detect six different levels of human stress conditions, ranging from Normal level (0–0.415μSiemens) to Severe level (>4.166μSiemens). To perform this evaluation, we designed and implemented the GSR sensor, which consists of a pair of finger electrodes, a voltage divider circuit, a Wheatstone bridge circuit, an instrumentation amplifier, an Arduino Nano controller circuit, and a display module. The evaluation tested four different sensitivity resistances of the Wheatstone bridge circuit: 50kΩ, 100kΩ, 150kΩ, and 200kΩ. Digital values were measured and calculated for each sensitivity resistance when measuring skin resistance values from 0Ω to 30MΩ with a 50kΩ step increment. These values simulated all six stress level conditions. The measurement showed that the sensitivity resistances of 200kΩ, 150kΩ, 100kΩ, and 50kΩ resulted in a range of skin resistances (with an average percentage relative error) of 3MΩ - 250kΩ (0.45%), 3MΩ - 200kΩ (1.06%), 3MΩ - 150kΩ (1.29%), and 2.4MΩ - 100kΩ (1.09%), respectively.
RANCANG BANGUN GENERATOR SINYAL FISIOLOGIS EMG JARI KELINGKING DAN EOG MATA BERBASIS ARDUINO NANO Rachmat, Hendi Handian; Firdaus, Muhammad M.; Hernawan, Allyfa N.; Septiani, Sindi
Jurnal Media Elektro Vol 14 No 1 (2025): April 2025
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jme.v0i0.20762

Abstract

In this study, the design and implementation of a portable Arduino Nano-based physiological signal generator for pinky EMG and EOG eye movement (looking right and left) were carried out. The purpose of this study is to develop a device capable of storing and generating physiological signals, so that the device can serve as a substitute for test subjects. The physiological signal generator system was implemented by storing digital physiological signal data from test subjects in the internal memory of the Arduino Nano microcontroller, which also acts as the system's controller and processor. The signal conditioning system uses an MCP4725 module 12-bit resolution DAC, an LM358 OP-Amp as a non-inverting signal amplifier, a 20x4 LCD as the signal menu display, and a joystick module for selecting signal menus. The system was tested by comparing the signals generated by the signal generator with the physiological signal data recorded from test subjects (the data stored on the device). Based on the test results, the signal generated by the electronic device is visually ±100% identical to the recorded physiological signal data. The average amplitude difference is relatively small, with the smallest difference being 0.1 mV and the largest difference being 4.9 mV.