A. Hamidah
Papers
1
Total Citations
2
H-Index
1
About
A. Hamidah is a researcher whose work sits at the intersection of machine learning, healthcare technology, and rehabilitation engineering. Her primary research focuses on applying intelligent systems to assistive devices, particularly in the context of stroke rehabilitation. Her most cited work, "Review on Machine Learning Applications in Assisted Treadmill for Stroke Rehabilitation" (2019), critically examines how machine learning algorithms—ranging from classification to automated decision-making—can enhance treadmill-based therapies for stroke survivors. This review highlights the growing role of the Internet of Things (IoT) in creating smarter, more responsive rehabilitation tools. Although her citation count is modest, Hamidah’s contribution lies in synthesizing emerging trends and identifying pathways for integrating AI into physical therapy. Her work is especially relevant for researchers and students interested in the convergence of biomedical engineering, data science, and patient-centered care. By bridging the gap between complex computational models and real-world clinical applications, Hamidah helps pave the way for more adaptive, personalized rehabilitation technologies that could improve recovery outcomes for stroke patients.
Research Focus
Key Achievements
Top Papers
- 1