A rest tremor detection system based on internet of thing technology

Safira Faizah, Dian Nugraha, Mohammed N. Abdulrazaq, Brainvendra Widi Dionova, Muhammad Irsyad Abdullah, Leni Novianti


This article outlines the creation of a health detection system designed to identify rest tremors in Parkinson's disease (PD). The system leverages internet of things (IoT) technology to measure frequencies derived from human activities, excluding other symptoms such as heartbeat and voice recording. The core components include the Arduino Nano microcontroller and the Node ESP MCU 8266 V3 for data processing. The system employs an accelerometer sensor positioned at the body's center axis to gauge the frequency of motor symptoms associated with resting tremors, particularly when the hands are at rest in the lap. The findings indicate that 9 samples displayed symptoms of rest tremor. The recorded p-value, standing at 0.884, signifies a robust correlation between the two variables at a significant threshold of 0.01 or 1%.


Accelerometer; Frequency; Inertial measurement sensor; Parkinson’s disease; Rest tremor

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DOI: http://doi.org/10.11591/ijeecs.v33.i1.pp476-484


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The Indonesian Journal of Electrical Engineering and Computer Science (IJEECS)
p-ISSN: 2502-4752, e-ISSN: 2502-4760
This journal is published by the Institute of Advanced Engineering and Science (IAES) in collaboration with Intelektual Pustaka Media Utama (IPMU).

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