Papers

2

Total Citations

20

H-Index

2

About

Mohammad Mousavi is a dedicated researcher in rehabilitation robotics and neurorehabilitation, with a primary focus on developing assistive technologies for individuals with spinal cord injury (SCI) and stroke. His most notable contribution is the design and development of LOKOIRAN, a novel robotic gait training system introduced in his 2013 paper, which has garnered 15 citations. This device integrates a partial weight-bearing system with programmable foot-plate training to aid balance and locomotion recovery, representing a significant step forward in robotic-assisted rehabilitation. In his 2018 work, cited 5 times, Mousavi systematically evaluated the role of gait training—including body weight support treadmill training and robotic exoskeletons—in restoring standing and walking abilities in SCI patients. His research bridges engineering and clinical practice, offering practical, evidence-based solutions for motor recovery. Mousavi’s work is particularly valuable for students and researchers interested in the intersection of robotics, biomechanics, and rehabilitation science, as it demonstrates how targeted device design can directly impact patient outcomes.

Research Focus

Key Achievements

2
H-Index
2
Papers
20
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
LOKOIRAN- A novel robot for rehabilitation of spinal cord injury and stroke patients
15 citations · 2013
📈 Most Prolific Year: 2013 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: University of Social Welfare and Rehabilitation Sciences

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago