Shafriza Nisha Basah

Universiti Malaysia Perlis, University of Kuala Lumpur

Papers

9

Total Citations

58

H-Index

5

About

Dr. Shafriza Nisha Basah is a leading researcher in biomedical robotics, specializing in rehabilitation engineering and assistive technologies. Her primary research focuses on developing robotic systems for ankle rehabilitation, addressing the high prevalence of ankle injuries from sports and domestic accidents. Her most cited work, a 2017 literature review on home-based ankle rehabilitation systems (17 citations), establishes the need for accessible, automated therapy solutions. She has made significant contributions through the design and kinematic analysis of parallel robots for ankle rehabilitation (2013, 8 citations) and cable-driven robotic systems (2018, 7 citations), advancing robot-aided physiotherapy. Her 2022 SWOT analysis of Ankle Injury Rehabilitation Robots (AIRRs) (7 citations) critically evaluates the field's strengths and opportunities, guiding future innovation. Beyond ankle robotics, Dr. Basah has explored human emotional modeling (2012, 5 citations), solar tracking systems (2016), omnidirectional mobile robots (2019), and lower limb exoskeletons for paralyzed stroke patients (2024). Her work integrates mechanical design, kinematics, and human-robot interaction, with a clear translational goal: making rehabilitation more effective and accessible. With a growing citation record and diverse projects, Dr. Basah is a key figure in Malaysian rehabilitation robotics, inspiring students and researchers to develop technologies that directly improve patient outcomes.

Research Focus

Key Achievements

5
H-Index
9
Papers
58
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
HOME-BASED ANKLE REHABILITATION SYSTEM: LITERATURE REVIEW AND EVALUATION
17 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 24
🏛 Institutions: Universiti Malaysia Perlis, University of Kuala Lumpur

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago