Christian Fleischer
Biomedical Engineering · 2008–2014
A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Biomedical Engineering — 12 citations into it; #3,604 of 10,734 by trust here, #9,262 by citations
Whom Christian Fleischer trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Christian Fleischer overall
- Kazuo Kiguchi
- Zhijun Li
- Yongzhi Zhang
- Yoshiaki Hayashi
- Zhicong Huang
- Juan Pablo Rivera-Barrera
- Ephrem Chemali
- Rui Xiong
- Jinhao Meng
- Wei He
Papers from Christian Fleischer's perspective
Ordered by how strongly the researchers Christian Fleischer trusts endorse each paper. Same corpus, a different order for every researcher.
- An EMG-driven musculoskeletal model to estimate muscle forces and knee joint moments in vivo. (Journal of Biomechanics)
- The RoboKnee: an exoskeleton for enhancing strength and endurance during walking (IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004)
- Neuromusculoskeletal modeling: estimation of muscle forces and joint moments and movements from measurements of neural command. (Journal of Applied Biomechanics)
- A myosignal-based powered exoskeleton system (IEEE Trans. Syst. Man Cybern. Part A)
- An improved powered ankle-foot orthosis using proportional myoelectric control. (Gait & Posture)
- The Berkeley Lower Extremity Exoskeleton (International Symposium on Field and Service Robotics)
- Hybrid Control of the Berkeley Lower Extremity Exoskeleton (BLEEX) (Int. J. Robotics Res.)
- A Real-Time EMG Pattern Recognition System Based on Linear-Nonlinear Feature Projection for a Multifunction Myoelectric Hand (IEEE Transactions on Biomedical Engineering)
- Theory and application of digital signal processing
- Power Assist System HAL-3 for Gait Disorder Person (International Conference on Computers for Handicapped Persons)
Their papers
- A Human--Exoskeleton Interface Utilizing Electromyography (2008) — 407 citations
- Critical review of the methods for monitoring of lithium-ion batteries in electric and hybrid vehicles (2014) — 987 citations