Kento Shirata
Papers
1
Total Citations
3
H-Index
1
About
Kento Shirata is a researcher at the forefront of biomedical signal processing and flexible electronics, with a focus on enhancing the detection of physiological signals for human-machine interfaces. His most cited work, "Robust myoelectric signal detection based on stochastic resonance using multiple-surface-electrode array made of carbon nanotube composite paper" (2016), introduces a novel approach to improving surface electromyogram (EMG) signal detection by leveraging the stochastic resonance phenomenon—where adding controlled noise optimizes the response to weak signals. Shirata’s key contribution lies in integrating this principle with a flexible, multiple-surface-electrode array made from carbon nanotube composite paper (CNT-cp), a material that offers both conductivity and adaptability. This innovation addresses the challenge of robust signal acquisition in noisy environments, potentially advancing prosthetics and wearable health monitors. While his citation count (3) reflects the niche, early-stage nature of this work, it underscores a foundational step in merging stochastic resonance with flexible electronics. Shirata’s research demonstrates a commitment to practical, low-cost solutions for real-world biomedical applications, making him a promising voice in the evolving field of bioelectronic interfaces.
Research Focus
Key Achievements
Top Papers
- 1