Babak Hejrati
| Babak Hejrati | |
| Occupation | Mechanical engineer, academic |
|---|---|
Babak Hejrati is a mechanical engineer and Associate Professor of Mechanical Engineering at the University of Maine.[1] His work focuses on gait rehabilitation, haptic feedback systems, and interlimb neural coupling.[2][3]
Career
Hejrati serves as an Associate Professor in the Department of Mechanical Engineering at the University of Maine.[4]
Research
Hejrati's research addresses arm swing dynamics, gait rehabilitation, and haptic feedback technologies. According to Semantic Scholar, his publication record includes 33 papers with a total of 230 citations and an h-index of 8.[5]
He received a Faculty Early Career Development (CAREER) award from the National Science Foundation for a project titled "Interlimb Neural Coupling to Enhance Gait Rehabilitation," awarded $551,912 to the University of Maine beginning January 25, 2022.[6]
He also received funding from the National Institutes of Health for a project titled "A Wearable Haptic Feedback System for Home-based Gait Training for Older Adults," totaling $432,375, awarded to the University of Maine Orono.[7]
Selected publications
- Comprehensive quantitative investigation of arm swing during walking at various speed and surface slope conditions (2016), Human Movement Science[8]
- Accurate pressure control of a pneumatic actuator with a novel pulse width modulation–sliding mode controller using a fast switching On/Off valve (2013), Journal of Systems and Control Engineering[9]
- Kinesthetic Force Feedback and Belt Control for the Treadport Locomotion Interface (2015), IEEE Transactions on Haptics[10]
- Generating Arm-Swing Trajectories in Real-Time Using a Data-Driven Model for Gait Rehabilitation With Self-Selected Speed (2018), IEEE Transactions on Neural Systems and Rehabilitation Engineering[11]
- Modulation of Arm Swing Frequency and Gait Using Rhythmic Tactile Feedback (2022), bioRxiv[12]
- Investigating the efficacy of a tactile feedback system to increase the gait speed of older adults (2023), Human Movement Science[13]
- The Effects of Real-Time Haptic Feedback on Gait and Cognitive Load in Older Adults (2025), IEEE Transactions on Neural Systems and Rehabilitation Engineering[14]
- Design and Validation of a Smartphone-based Haptic Feedback System for Gait Training (2021), IEEE Robotics and Automation Letters[15]
- Utilizing Rhythmic Haptic Cueing in Arm Swing Training to Improve Gait Speed Among Older Adults (2024), Annals of Biomedical Engineering[16]
- The effects of forearm movements on human gait during walking with various self-selected speeds (2021), Human Movement Science[17]
External links
- ↑ ORCID iD 0000-0002-7593-6028
- ↑ National Science Foundation award records
- ↑ National Institutes of Health award records
- ↑ ORCID iD 0000-0002-7593-6028
- ↑ Semantic Scholar author metrics
- ↑ National Science Foundation award records
- ↑ National Institutes of Health award records
- ↑ Semantic Scholar publication record
- ↑ Semantic Scholar publication record
- ↑ Semantic Scholar publication record
- ↑ Semantic Scholar publication record
- ↑ Semantic Scholar publication record
- ↑ Semantic Scholar publication record
- ↑ Semantic Scholar publication record
- ↑ Semantic Scholar publication record
- ↑ Semantic Scholar publication record
- ↑ Semantic Scholar publication record