Afuan Faisal Zudhi
Universitas AKI

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

Stress Monitor Design and Construction Based on Arduino Uno Bayu Wahyudi; Ananda Hanif Nurcahya; Patrisius Kusi Olla; Afuan Faisal Zudhi
Jurnal Kecerdasan Buatan dan Teknologi Informasi Vol. 5 No. 3 (2026): September 2026 In progress.
Publisher : Ninety Media Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69916/jkbti.v5i3.552

Abstract

Monitoring physiological conditions such as heart rate during high physical activities, including stress test monitoring, is highly crucial to prevent cardiac overload. However, conventional stress test systems rely on expensive equipment, limiting their accessibility in small healthcare facilities. This study aims to design and construct an Arduino Uno-based stress test monitor utilizing an AD8232 ECG sensor integrated into a modified treadmill system. The system employs an Arduino Uno microcontroller as the primary data processor to analyze the bioelectric heart signals captured by the AD8232 sensor, displaying the real-time results on a TFT screen. Device performance was evaluated through voltage measurements, functional testing, speed calibration, and comparative testing across three speed levels: low mode, medium mode, and high mode. The results showed that the power distribution system operated stably with a maximum voltage error of 1.81%. Speed calibration using a tachometer produced three distinct intensity levels of 16 rpm, 24.6 rpm, and 33 rpm. Comparative testing against a standard pulse oximeter showed average heart rate readings of 98 BPM in low mode, 125 BPM in medium mode, and 155 BPM in high mode, with a percentage error of 0% and a correction value of 0 BPM across all modes. These results indicate excellent device accuracy, with deviations remaining well within acceptable tolerance limits. Consequently, the designed system functions as intended and is declared eligible for operational use to support user physical performance monitoring.