Kazushige Magatani

About

Kazushige Magatani is a pioneering researcher in biomedical engineering, specializing in bio-signal sensing and human-machine interaction for disaster response. His work focuses on developing non-invasive measurement techniques for surface electromyogram (SEMG) and vital signs, with a strong emphasis on rescue robotics applications. Magatani’s most impactful contribution is the hand motion recognition system using SEMG, which identifies optimal measurement channels for pattern recognition—a foundational study cited 24 times that advances prosthetic control and assistive technology. He also designed portable devices to detect SPO₂ and other bio-signals in field conditions, enabling remote assessment of sufferers’ conditions during disasters like earthquakes. His research addresses critical gaps in rescue operations, allowing robots to evaluate victims’ health before human intervention, thereby reducing secondary disaster risks. With over 48 cumulative citations across his key works, Magatani’s innovations bridge the gap between signal processing and practical emergency medicine, earning recognition for improving both robotic autonomy and patient triage in crisis scenarios.

Research Focus

Key Achievements

Top Papers

1. 1
   Development of the hand motion recognition system based on surface EMG using suitable measurement channels for pattern recognition

   24 citations · 2007
2. 2
   Development of the device to detect human's bio-signals by easy sensing

   7 citations · 2008
3. 3
   The measurement technique of human's bio-signals

   5 citations · 2006
4. 4
   The measurement technique of human's bio-signals

   5 citations · 2005
5. 5
   Development of the device to detect SPO<inf>2</inf> in the field

   4 citations · 2009
6. 6
   A remote measurement method of the human bio-signals

   3 citations · 2004

Key Collaborators

Contact & Links