Abstract: Classifying hand gestures using electromyography (EMG) data has emerged as a crucial field of study, especially for its uses in human-computer interaction, rehabilitation, and prosthetics.

This project utilizes an Arduino Uno CH340G development board paired with a DHT11 temperature and humidity sensor to create a compact yet capable environmental monitoring system. It measures ambient ...

Objectives: To develop and validate machine learning models to predict levodopa responsiveness of tremor in Parkinson’s disease (PD) patients. Methods: A total of 197 PD tremor patients underwent ...