Fajar Annas Susanto
Papers
1
Total Citations
1
H-Index
1
About
Fajar Annas Susanto’s research focuses on biomedical signal processing and assistive technology, particularly for individuals with motor impairments. His work addresses critical challenges in rehabilitation engineering, such as accurately estimating hand and finger motion to support upper extremity function. In his notable 2023 study, “Comparison of H-Infinity and Ensemble Kalman Filter for Estimating Motion of Middle Finger,” Susanto tackles the problem of upper extremity paresis—a condition causing muscle weakness that impairs daily activities and quality of life. By comparing advanced filtering techniques, he contributes to more precise motion estimation, which is essential for developing responsive prosthetic and rehabilitation devices. Though his citation count is currently modest, his work holds significant potential for improving assistive technologies for those with nerve injuries or neurological disorders. Susanto’s research sits at the intersection of control theory and clinical application, aiming to restore motor function and enhance independence for individuals living with paresis.
Research Focus
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Top Papers
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