TY - JOUR
T1 - Smart Surgical Light
T2 - Identification of Surgical Field States Using Time of Flight Sensors
AU - Itabashi, Yuta
AU - Nakamura, Fumihiko
AU - Kajita, Hiroki
AU - Saito, Hideo
AU - Sugimoto, Maki
N1 - Funding Information:
This work was supported by JST CREST (JPMJCR14E1) and Saitama Prefecture Leading-edge Industry Design Project, Japan.
Publisher Copyright:
© 2022 World Scientific Publishing Company.
PY - 2022/3/1
Y1 - 2022/3/1
N2 - 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 with a surgical light installed on each. 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.
AB - 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 with a surgical light installed on each. 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.
KW - CNN
KW - ToF sensor
KW - identification of surgical field
KW - surgical light
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U2 - 10.1142/S2424905X21410026
DO - 10.1142/S2424905X21410026
M3 - Article
AN - SCOPUS:85131555057
SN - 2424-9068
VL - 7
JO - Journal of Medical Robotics Research
JF - Journal of Medical Robotics Research
IS - 1
M1 - 2141002
ER -