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Hirofumi Nogami
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2020 – today
- 2023
- [c6]Yoshinori Furukawa, D. S. V. Bandara, Hirofumi Nogami, Jumpei Arata:
Realtime EMG signal processing with OneClassSVM to extract motion intentions for a hand rehabilitation robot. SII 2023: 1-5 - 2022
- [j4]Toshiro Osaka, Kenichiro Seto, D. S. V. Bandara, Hirofumi Nogami, Jumpei Arata:
Compact Variable Stiffness Actuator for Surgical Robots. J. Robotics Mechatronics 34(6): 1225-1232 (2022)
2010 – 2019
- 2018
- [j3]Nobutomo Morita, Hirofumi Nogami, Eiji Higurashi, Renshi Sawada:
Grasping Force Control for a Robotic Hand by Slip Detection Using Developed Micro Laser Doppler Velocimeter. Sensors 18(2): 326 (2018) - [c5]Ryo Inoue, Hirofumi Nogami, Eiji Higurashi, Renshi Sawada:
Simultaneous Measurement of a Blood Flow and a Contact Pressure. BIOSIGNALS 2018: 48-53 - [c4]Hirofumi Nogami, Ryo Inoue, Yuma Hayashida, Hideyuki Ando, Takahiro Ueno, Renshi Sawada:
Multifunctional Optical Sensor Module - Integrated Optical Micro Displacement Sensor and Its Application to a Photoplethysmographic Sensor with Measuring Contact Force. BIODEVICES 2018: 71-76 - 2017
- [j2]Hirofumi Nogami, Shozo Arai, Hironao Okada, Lan Zhan, Toshihiro Itoh:
Minimized Bolus-Type Wireless Sensor Node with a Built-In Three-Axis Acceleration Meter for Monitoring a Cow's Rumen Conditions. Sensors 17(4): 687 (2017) - [c3]Hirofumi Nogami, Ryo Inoute, Yuma Hayashida, Renshi Sawada:
Integrated micro-displacement sensor and its application to photoplethysmographic sensor. MHS 2017: 1-5 - 2016
- [c2]Lan Zhang, Jian Lu, Hironao Okada, Hirofumi Nogami, Toshihiro Itoh, Shozo Arai:
Low-power and high-sensitive pH sensor for monitoring of cow-rumen in real time. IEEE SENSORS 2016: 1-3 - 2015
- [j1]Wataru Iwasaki, Hirofumi Nogami, Satoshi Takeuchi, Masutaka Furue, Eiji Higurashi, Renshi Sawada:
Detection of Site-Specific Blood Flow Variation in Humans during Running by a Wearable Laser Doppler Flowmeter. Sensors 15(10): 25507-25519 (2015) - [c1]Terukazu Akiyama, Tatsuya Miyazaki, Hiroki Ito, Hirofumi Nogami, Renshi Sawada:
Application of a MEMS Blood Flowmeter for Power Spectrum Analysis of Heart Rate Variability. BIOSIGNALS 2015: 211-218
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