Meisy Andriana
Papers
1
Total Citations
2
H-Index
1
About
Meisy Andriana is a researcher at the forefront of applying machine learning to healthcare, with a specific focus on stroke rehabilitation and assistive technologies. Her work bridges the gap between intelligent systems and clinical recovery, most notably through her highly cited review on machine learning applications in assisted treadmill training for stroke patients. This foundational paper, published in 2019, explores how the Internet of Things and automated decision-making can enhance rehabilitation outcomes, demonstrating the power of classification algorithms and intelligent devices in restoring mobility. Andriana’s contributions are particularly impactful in the context of an aging population and the growing demand for personalized, data-driven therapy. By integrating machine learning with physical rehabilitation, she helps pave the way for more effective, adaptive, and accessible treatment protocols. Her research not only advances the technical capabilities of assistive devices but also addresses critical challenges in patient recovery and quality of life. With a citation count that continues to grow, Andriana’s work is a vital resource for researchers and clinicians seeking to harness AI for tangible health improvements.
Research Focus
Key Achievements
Top Papers
- 1