Khairunnisa Johar
Papers
2
Total Citations
37
H-Index
2
About
Dr. Khairunnisa Johar is a biomedical engineer whose research sits at the intersection of neural engineering, assistive technology, and clinical data analytics. Her most cited work, "User-Friendly LabVIEW GUI for Prosthetic Hand Control Using Emotiv EEG Headset" (2017, 33 citations), represents a significant contribution to brain-computer interface (BCI) applications for amputees. This study demonstrated how commercial EEG headsets could be integrated with intuitive graphical interfaces to control robotic prosthetic hands, making advanced prosthetic control more accessible and user-friendly. The work addresses a critical gap between sophisticated robotic prosthetics and practical, daily-use functionality. More recently, Dr. Johar has extended her expertise into clinical diagnostics with "Systematic Development of Machine for Abnormal Muscle Activity Detection" (2021), applying anomaly detection algorithms to quantitative clinical data. This work bridges machine learning techniques with neuromuscular assessment, offering potential tools for early detection of movement disorders. Her research trajectory shows a commitment to translating engineering solutions into tangible clinical benefits, from restoring function through neural-controlled prosthetics to improving diagnostic accuracy in muscle activity analysis.
Research Focus
Key Achievements
Top Papers
- 1
- 2Systematic Development of Machine for Abnormal Muscle Activity Detection4 citations · 2021