Asnor Juraiza Ishak
Papers
5
Total Citations
37
H-Index
3
About
Asnor Juraiza Ishak is a researcher whose work sits at the intersection of biomedical signal processing and robotic control, with a primary focus on surface electromyography (SEMG) and its applications in assistive technology. Her most cited paper, a comprehensive 2017 review on surface electrode placement for recording SEMG signals (19 citations), has become a foundational reference for researchers working on low-noise signal acquisition for prosthetics, brain-computer interfaces, and rehabilitation robotics. She has also made significant contributions to pattern recognition-based electromyographic control systems, reviewing techniques that enable human-assisting robots and prosthetic devices to interpret muscle signals with greater accuracy. Beyond SEMG, Ishak has explored practical robotics through an eye-in-hand visual servoing system for automated object grasping (2019, 6 citations) and PID-controlled arm mechanisms (2013). Her work on the effect of electrode position during wrist movements (2016) provides critical insights for time and frequency domain analyses, directly informing the design of exoskeletons and SEMG-controlled robots. With a career dedicated to bridging the gap between biological signals and machine control, Ishak’s research continues to shape the development of intuitive, responsive prosthetic and robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Review of surface electrode placement for recording electromyography signals19 citations · 2017
- 2Review of Electromyography Control Systems Based on Pattern Recognition for Prosthesis Control Application6 citations · 2011
- 3Eye in hand robot arm based automated object grasping system6 citations · 2019
- 4Effect of surface electromyography electrode position during wrist extension and flexion based on time and frequency domain analyses3 citations · 2016
- 5Position control of arm mechanism using PID controller3 citations · 2013