Yolanda Sari Silaen

About

Yolanda Sari Silaen is a researcher focused at the intersection of biomedical engineering and assistive technology, with a particular emphasis on brain-computer interfaces (BCI) and EEG signal processing. Her work addresses critical challenges in human-robot interaction, especially for individuals with disabilities—a population exceeding 10 million in Indonesia alone. In her most-cited paper, "EEG Signal Processing For Motor Imagery Direction of Hand Movement Using the Brain Computer Interface" (2023), Silaen developed methods to decode motor imagery from EEG signals, enabling intuitive control of robotic systems through thought alone. This contribution holds promise for enhancing mobility and independence for those with physical impairments. While her citation count is modest, her research is foundational in applying BCI technology to real-world assistive devices in Indonesia. Silaen’s work exemplifies how engineering can directly improve quality of life, bridging gaps between neural signals and robotic actuation. Her focus on motor imagery classification and EEG processing positions her as an emerging voice in neurorehabilitation and human-machine interaction.

Research Focus

Key Achievements

Top Papers

1. 1
   EEG Signal Processing For Motor Imagery Direction of Hand Movement Using the Brain Computer Interface

   2 citations · 2023

Key Collaborators

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