Smart Surgical Light: Identification of Surgical Field States Using Time of Flight Sensors
Abstract
This work presents a method for identifying surgical field states using time-of-flight (ToF) sensors equipped with a surgical light. It is important to understand the surgical field state in a smart surgical room. In this study, we aimed to identify surgical field states by using 28 ToF sensors installed on a surgical light. In the experimental condition, we obtained a sensor dataset by changing the number of people, posture, and movement state of a person under the surgical light. The identification accuracy of the proposed system was evaluated by applying machine learning techniques. This system can be realized simply by attaching ToF sensors to the surface of an existing surgical light.
Members
Yuta Itabashi
Fumihiko Nakamura
Hiroki Kajita
Hideo Saito
Maki Sugimoto
Publication
Yuta Itabashi, Fumihiko Nakamura, Hiroki Kajita, Hideo Saito, and Maki Sugimoto, Smart Surgical Light: Identification of Surgical Field States Using Time of Flight Sensors, The 16th Asian Conference on Computer Aided Surgery (ACCAS 2020), 2020. 11.
Yuta Itabashi, Fumihiko Nakamura, Hiroki Kajita, Hideo Saito, Maki Sugimoto, Smart Surgical Light: Identification of Surgical Field States Using Ti9me of Flight Sensors, Journal of Medical Robotics Research, To be pusblished.
Acknowledgment
This work was supported by JST CREST(JPMJCR14E1) and Saitama Prefecture Leading-edge Industry Design Project, Japan.