Hideyuki Nakamura
Papers
1
Total Citations
3
H-Index
1
About
Hideyuki Nakamura 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 cited work, "Robust myoelectric signal detection based on stochastic resonance using multiple-surface-electrode array made of carbon nanotube composite paper" (2016), introduces a groundbreaking approach to surface electromyogram (EMG) signal detection. By leveraging stochastic resonance—a phenomenon where added noise optimizes weak signal response—and integrating a flexible carbon nanotube composite paper electrode array, Nakamura developed a method for robust, high-fidelity myoelectric signal acquisition. This work has garnered 3 citations, reflecting its niche but impactful contribution to wearable sensor technology and human-machine interfaces. Nakamura’s research bridges materials science and neural engineering, offering potential applications in prosthetics, rehabilitation, and assistive devices. His achievements highlight a commitment to advancing non-invasive biosignal monitoring, making him a notable figure in the field of flexible electronics and biomedical instrumentation.
Research Focus
Key Achievements
Top Papers
- 1