Sinta Sari Ratunanda

Papers

Total Citations

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About

Sinta Sari Ratunanda is a researcher at the forefront of applying machine learning to assistive healthcare technologies, with a particular focus on stroke rehabilitation. Her most cited work, a comprehensive review on machine learning applications in assisted treadmill systems for stroke recovery, demonstrates her commitment to bridging artificial intelligence with physical therapy. In this influential paper, Ratunanda explores how intelligent devices leverage machine learning’s capabilities in complex problem-solving, classification, and automated decision-making to enhance rehabilitation outcomes. She highlights the transformative potential of the Internet of Things in creating more effective and efficient therapeutic interventions for stroke survivors. While her citation count is still growing, her research addresses a critical intersection of AI and neurorehabilitation, offering pathways toward personalized, data-driven recovery protocols. Ratunanda’s work contributes to the emerging field of smart rehabilitation systems, where machine learning algorithms can adapt treadmill assistance in real-time based on patient performance. Her research holds promise for improving quality of life for stroke patients, positioning her as an emerging voice in the application of computational methods to medical rehabilitation challenges.