Shunichi Kaeriyama
Papers
1
Total Citations
3
H-Index
1
About
Shunichi Kaeriyama is a pioneering researcher in biomedical signal processing and flexible bioelectronics, with a focus on enhancing the detection of physiological signals through innovative materials and noise-based techniques. His most notable contribution is the development of robust myoelectric signal detection using stochastic resonance (SR), a phenomenon where the addition of controlled noise optimizes the response to weak signals. In his 2016 paper, Kaeriyama demonstrated this by integrating SR with a multiple-surface-electrode array made from carbon nanotube composite paper (CNT-cp), a flexible, lightweight material that conforms to the skin. This work, cited 3 times, represents a significant step toward more reliable surface electromyogram (EMG) sensing for prosthetics and human-machine interfaces, particularly in noisy or low-signal environments. Kaeriyama’s research bridges materials science and neural engineering, offering a novel approach to improving signal fidelity without bulky hardware. His achievements highlight a commitment to practical, wearable solutions that advance assistive technology and rehabilitation, making his work a valuable reference for students and researchers exploring non-invasive biosignal acquisition and stochastic resonance applications.
Research Focus
Key Achievements
Top Papers
- 1