Yuki Inden
Papers
1
Total Citations
3
H-Index
1
About
Yuki Inden is a researcher whose work lies at the intersection of biomedical engineering and advanced materials, with a particular focus on improving the detection and analysis of physiological signals. His key research areas include surface electromyography (EMG), stochastic resonance, and the development of flexible, bio-compatible electrode materials. Inden’s most notable contribution is his pioneering investigation into robust myoelectric signal detection using stochastic resonance—a phenomenon where the addition of controlled noise can actually enhance the detection of weak signals. By integrating this principle with a multiple-surface-electrode array made from carbon nanotube composite paper (CNT-cp), he demonstrated a novel approach to achieving more reliable EMG readings, even under challenging conditions. This work, published in 2016, has garnered 3 citations and lays important groundwork for future wearable sensors and human-machine interfaces. Inden’s research is particularly significant for its potential to advance prosthetics, rehabilitation technologies, and non-invasive diagnostics, showcasing how innovative materials and signal processing techniques can overcome traditional limitations in bio-signal acquisition.
Research Focus
Key Achievements
Top Papers
- 1