Mohd Shukri Ab Yajid
Papers
1
Total Citations
4
H-Index
1
About
Dr. Mohd Shukri Ab Yajid is a leading researcher at the intersection of wearable sensor technology, medical robotics, and biomedical signal processing. His work focuses on developing intelligent systems for real-time fatigue assessment, particularly through the analysis of electromyography (EMG) signals. His most-cited paper, "Wearable sensor technology and medical robotics for fatigue assessment using electromyography signal processing" (2024), has already garnered 4 citations, highlighting its immediate relevance in advancing non-invasive, continuous health monitoring. Dr. Ab Yajid’s contributions are pivotal in creating more responsive and adaptive robotic systems for rehabilitation and human performance enhancement. By integrating machine learning with sensor data, he is pushing the boundaries of how fatigue is quantified and managed in clinical and industrial settings. His research not only improves patient outcomes through personalized care but also enhances safety in physically demanding occupations. With a growing citation footprint, Dr. Ab Yajid is establishing himself as a key innovator in the field of smart healthcare technologies.
Research Focus
Key Achievements
Top Papers
- 1