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About

Noor Ayuni Che Zakaria is a pioneering researcher at the intersection of biomedical engineering and assistive robotics, with a primary focus on developing intelligent systems for neurorehabilitation and prosthetic control. Her work centers on creating user-friendly interfaces for prosthetic hands, notably through her highly cited 2017 paper on a LabVIEW GUI controlled by an Emotiv EEG headset (33 citations), which enables amputees to perform daily tasks using brain-computer interfaces. She has made significant contributions to medical education by developing robotic part-task trainers that emulate upper limb disorders, enhancing the training of medical practitioners. Her research extends to abnormal muscle activity detection using machine learning algorithms, hand exoskeleton systems for stroke survivors, and cloud-based rehabilitation devices for upper limb spasticity. Notably, she developed the Malaysia Exoskeletal Robot Assisted Therapy (MyERAT) system, which integrates mirror therapy principles with robotic intervention to enhance post-stroke neurorecovery. With a cumulative impact of over 50 citations across her key publications, Dr. Che Zakaria's work represents a vital bridge between cutting-edge robotics and practical clinical applications, offering hope for improved quality of life in patients with motor impairments.