Songhua Yan | Engineering | Best Researcher Award

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Prof. Songhua Yan | Engineering | Best Researcher Award

Capital Medical University | China

Author Profile

Scopus

🎓 Early Academic Pursuits

Prof. Songhua Yan embarked on an academic journey in sports biomechanics at Beijing Sports University, where he obtained his B.S. in Exercise & Sports Science (1998). His passion for biomechanics led him to pursue an M.S. (2001) and a Ph.D. (2004) in Sports Biomechanics from the same institution. During these formative years, he cultivated a deep understanding of human movement, biomechanics, and rehabilitation, laying the groundwork for his future research and contributions.

🏅 Professional Endeavors

Prof. Yan has had an illustrious career in biomedical engineering and rehabilitation sciences. Since 2004, he has been a faculty member at the Biomedical Engineering School, Capital Medical University, Beijing. He served as an Assistant Professor from 2004 to 2009 and has been an Associate Professor since 2010. His commitment to advancing biomechanics and rehabilitation engineering was further enriched during his tenure as a visiting scholar in Motor Behavior at Peking University (2012–2013). His collaborations with hospitals and medical institutions have facilitated cutting-edge research in gait analysis and rehabilitation techniques.

🔬 Contributions and Research Focus

Prof. Yan's research is centered on the biomechanical characteristics of lower extremities, particularly in obese children, children with cerebral palsy, and patients with Knee Osteoarthritis (KOA). His expertise includes gait analysis, knee proprioception, neuromuscular control, and rehabilitation engineering. He employs advanced biomechanical methods, such as kinematics, kinetics, electromyography (EMG), and electroencephalography (EEG), to evaluate and improve movement function. His research has led to groundbreaking studies on knee joint replacement surgeries, gait abnormalities, and balance control. He has spearheaded multiple national and provincial research projects, receiving prestigious funding, including the Top Young Talents Cultivation Program of Beijing Municipal Universities.

🏆 Accolades and Recognition

Prof. Yan has gained significant recognition for his contributions to biomechanics and rehabilitation. He is an esteemed member of the Rehabilitation Engineering Professional Committee of the Beijing Rehabilitation Medicine Association and the Elderly Health Management Branch of the Beijing Health Management Association. Additionally, he serves as an editorial board member for the Journal of Medical Biomechanics, contributing to the dissemination of pioneering research in the field.

🌍 Impact and Influence

With a prolific publication record of over 60 academic papers in leading international and domestic journals, Prof. Yan has significantly influenced the field of biomechanics and rehabilitation engineering. His expertise has been instrumental in advancing gait analysis techniques, understanding movement disorders, and developing innovative rehabilitation strategies. His research on knee osteoarthritis and prosthetic designs has directly impacted clinical practices, enhancing the quality of life for patients.

🔮 Legacy and Future Contributions

Prof. Yan continues to shape the future of biomechanics and rehabilitation engineering through ongoing research and mentorship. His dedication to advancing gait analysis, proprioception studies, and rehabilitation robotics is paving the way for innovative therapeutic interventions. His legacy lies in his unwavering commitment to improving mobility and rehabilitation outcomes for individuals with movement disorders. As he continues to lead pioneering research, his contributions will leave a lasting imprint on the fields of sports biomechanics, prosthetics, and rehabilitation medicine.

 

Publications

📄 Short-term Effect of Unicompartmental Knee Arthroplasty on Muscle Coordination in Patients with Knee Osteoarthritis
Author: Zhixin Jin, Jingnan Shi, Haohua Zhang, Kuan Zhang, Xinglong Zhou, Songhua Yan
Journal: Clinical Biomechanics
Year: 2025

📄 Effects of Total Knee Arthroplasty on Proprioception in Patients with Knee Osteoarthritis
Author: Zhang Quan, Shi Jingnan, Zhang Kuan, Zhang Haohua, Yan Songhua
Journal: Journal of Medical Biomechanics
Year: 2024

📄 The Effect of Thigh Muscle Forces on Knee Contact Force in Female Patients with Severe Knee Osteoarthritis
Author: Liu Tingting, Xie Hao, Yan Songhua, Zeng Jizhou, Zhang Kuan
Journal: Bioengineering
Year: 2024

📄 Effects of Total Knee Arthroplasty on Proprioception in Patients with Knee Osteoarthritis
Author: Zhang Quan, Shi Jingnan, Zhang Kuan, Zhang Haohua, Yan Songhua
Journal: Yiyong Shengwu Lixue/Journal of Medical Biomechanics
Year: 2024

📄 Dynamic Electromyography Findings of the Lower Leg Muscles During Walking in Spastic Cerebral Palsy Children with Hindfoot Valgus
Author: Xuesen Wang, Xiaohu Fu, Wei Li, Qining Wang, Kuan Zhang, Songhua Yan
Journal: Clinical Biomechanics
Year: 2023

Seyyed Ali Zendehbad | Engineering | Editorial Board Member

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Dr. Seyyed Ali Zendehbad | Engineering | Editorial Board Member

Islamic Azad University, Mashhad | Iran

Author Profile

Scopus

Early Academic Pursuits 🎓

Dr. Zendehbad’s academic journey began with a strong foundation in electronic and information technology engineering. He pursued multiple degrees, culminating in a Ph.D. in Biomedical Engineering from the Islamic Azad University of Mashhad. His doctoral research focused on improving upper limb function in stroke patients using biofeedback and muscle synergy analysis—an innovative approach with profound implications for rehabilitation science.

Professional Endeavors 👨‍🏫

Dr. Zendehbad has an impressive academic career as a professor and head of the Biomedical Engineering department at various prestigious institutions. He has taught specialized courses such as neuromuscular system control, biological system modeling, and biomedical research methodologies. Beyond academia, he has contributed to industry research, including the development of imaging quality enhancements for functional hard endoscopes.

Contributions and Research Focus 🔬

Dr. Zendehbad’s research primarily focuses on:
✅ Electromyogram (EMG) signal classification and analysis
✅ Muscle synergy patterns in stroke rehabilitation
✅ AI-driven biofeedback and assistive technologies
✅ Telehealth solutions and trustworthy AI applications in medical engineering

His work in stroke rehabilitation, particularly in biofeedback mechanisms and AI-driven recovery systems, has set new benchmarks in the field.

Accolades and Recognition 🏅

Dr. Zendehbad’s pioneering work has been recognized with several prestigious awards:
🏆 First Place - 31st Congress of Neurology and Clinical Electrophysiology (2024)
🏆 First Place - Shahid Beheshti University Startup Competition in Telerehabilitation (2021)
🏆 First Place - Mashhad University of Medical Sciences Startup Competition (2020)

These accolades reflect his outstanding contributions to medical engineering and rehabilitation technologies.

Impact and Influence 🌍

Dr. Zendehbad’s research has had a profound impact on both academia and industry. His contributions to AI-driven rehabilitation technologies have paved the way for more effective stroke recovery methods. Additionally, his role in startup competitions has facilitated innovation in telehealth and telerehabilitation, making cutting-edge healthcare solutions more accessible.

Legacy and Future Contributions 🚀

Dr. Zendehbad continues to push the boundaries of biomedical engineering. His ongoing research in AI applications for fatigue detection (FatigueNet project) and telehealth ethics (Trustworthy AI in Telehealth) demonstrates his forward-thinking approach. His legacy will undoubtedly inspire future researchers and innovators in the field of bioelectric engineering and medical technology.

 

Publications

📄 TraxVBF: A Hybrid Transformer-xLSTM Framework for EMG Signal Processing and Assistive Technology Development in Rehabilitation

  • Authors: Seyyed Ali Zendehbad, Athena Sharifi Razavi, Marzieh Allami Sanjani, Zahra Sedaghat, Saleh Lashkari
  • Journal: Sensing and Bio-Sensing Research
  • Year: 2025

📄 Identifying The Arm Joint Dynamics Using Muscle Synergy Patterns and SVMD-BiGRU Hybrid Mechanism

  • Authors: Seyyed Ali Zendehbad, Hamid Reza Kobravi, Mohammad Mahdi Khalilzadeh, Athena Sharifi Razavi, Payam Sasan Nezhad
  • Journal: Frontiers in Biomedical Technologies
  • Year: 2024

📄 Presenting a New Muscle Synergy Analysis Based Mechanism to Design a Trackable Visual Biofeedback Signal: Applicable to Arm Movement Recovery After Ischemic Stroke

  • Authors: Seyyed Ali Zendehbad, Hamid Reza Kobravi, Mohammad Mahdi Khalilzadeh, Athena Sharifi Razavi, Payam Sasan Nezhad
  • Journal: IEEE Access
  • Year: 2023

📄 A New Visual Biofeedback Protocol Based on Analyzing the Muscle Synergy Patterns to Recover the Upper Limbs Movement in Ischemic Stroke Patients: A Pilot Study

  • Authors: Seyyed Ali Zendehbad, Hamid Reza Kobravi, Mohammad Mahdi Khalilzadeh, Athena Sharifi Razavi, Payam Sasan Nezhad
  • Journal: The Neuroscience Journal of Shefaye Khatam
  • Year: 2023

📄 Investigation and Analysis of Feature Extraction Methods Based on Multi-Objective Genetic Algorithm and Support Vector Machine for Classification of Electromyogram Signals of Arm Muscles

  • Authors: Seyyed Ali Zendehbad, Siyamak Haghipour, Hamid Reza Kobravi, Seyyed Amir Zendehbad
  • Journal: Journal of New Research in Engineering Sciences
  • Year: 2016