Christian Antfolk

Papers

Total Citations

366

H-Index

About

Christian Antfolk is a leading researcher in the field of bionic prosthetics and human-machine interaction, with a primary focus on restoring natural motor control and sensory feedback for upper-limb amputees. His seminal work, "Online Myoelectric Control of a Dexterous Hand Prosthesis by Transradial Amputees" (245 citations), introduced a real-time pattern recognition algorithm using k-nearest neighbors and lazy learning to classify voluntary EMG signals, enabling simultaneous, intuitive control of a dexterous artificial hand—a breakthrough that has shaped modern myoelectric control systems. Antfolk’s pioneering contributions extend to sensory integration, as demonstrated in his highly cited study "Referral of Sensation to an Advanced Humanoid Robotic Hand Prosthesis" (112 citations), where he showed that amputees could experience a robotic hand as part of their own body through targeted sensory feedback, a concept critical for prosthetic embodiment. This work, along with a related pilot study (9 citations), has laid the groundwork for closed-loop prosthetics that merge motor control with tactile sensation. Antfolk’s research, bridging engineering and neuroscience, has profoundly impacted rehabilitation technology, offering amputees more dexterous, lifelike prosthetic solutions.