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Development of Brain-Computer Interface with Functional Near-Infrared Spectroscopy : Towards Clinical Use
ROBOTICS AND MECHATRONICS ENGINEERING
Dr Lim Lam Ghai Lecturer PhD
Research expertise : Near-infrared spectroscopy , neural signal processing , brain-computer interface , artificial intelligence , health analytics
E : lim . lamghai @ monash . edu T : + 603 5514 5628
Functional near-infrared spectroscopy ( fNIRS ) is a noninvasive optical imaging technique that measures neuronal activity indirectly through hemodynamic response in naturalistic environments . Recent advances in fNIRS have demonstrated its potential growth as a tool to assess and monitor functional brain activity in a wide range of applications . The possible clinical use of fNIRS in brain-computer interface and neurofeedback includes investigation of the functional recovery after brain damage , the neural mechanism for gait control , augmentation of brain plasticity , and evaluation of psychiatric disorders . However , fNIRS has several shortcomings that require attention , such as physiological influence , motion artifacts , baseline ambiguity , and scalp hemodynamics . Current works focus on ( i ) designing a real-time analytical framework with baseline state detection to optimize the experimental design , ( ii ) developing expressed emotion tasks to assess its influence on people with schizophrenia , ( iii ) developing cognitive training systems to enhance working memory performance , and ( iv ) integrating artificial intelligence techniques to identify abnormal brain functionalities and disorders .
Soft Robotic Gripper and Soft Robotic Arm
Mr Khoo , Boon How Assistant Lecturer MEngSci , BEng ( Hons )
Research expertise : Soft Robotic , Machine Vision , Artificial Intelligence
E : khoo . boon . how @ monash . edu T : + 603 5514 6232
My primary research interest is in soft robotic devices . I am particularly interested in the design of soft grippers and soft robot arms , and their industry applications . Soft grippers have a flexible and adaptive characteristic by default . They are specialized in pick and hold objects of various shapes and sizes . I am keen to explore the application of soft grippers in Malaysia ’ s manufacturing sector , and design customized soft grippers for different industries . Soft robot arms complement the functionality of the soft gripper . Soft robot arms have the ability to change its stiffness , shape and dimension during its operation .
This characteristic makes it a good option for search and rescue robots , robots working in compact space , etc . Soft robotic devices , both grippers and arms , requires simple actuation with minimal control signals . Therefore , the complete soft robotic device is simpler in nature , easier to control and easier to operate . I am also working on developing novel brain signal classification approach using electrode intensity .
fNIRS-based brain-computer interface
The design of vector phase diagram with multiple threshold circles for baseline state detection in hemodynamic response .
Soft robotic gripper in action
Soft robotic arm ( bending module )
R E S E A R C H E R P R O F I L E 2022 / 2023