Audio-based event detection in the operating room.

Purpose: Even though workflow analysis in the operating room has come a long way, current systems are still limited to research. In the quest for a robust, universal setup, hardly any attention has been given to the dimension of audio despite its numerous advantages, such as low costs, location, and sight independence, or little required processing power.

Methodology: We present an approach for audio-based event detection that solely relies on two microphones capturing the sound in the operating room.

The sound of surgery-development of an acoustic trocar system enabling laparoscopic sound analysis.

Purpose: Acoustic information can contain viable information in medicine and specifically in surgery. While laparoscopy depends mainly on visual information, our goal is to develop the means to capture and process acoustic information during laparoscopic surgery.

Methods: To achieve this, we iteratively developed three prototypes that will overcome the abdominal wall as a sound barrier and can be used with standard trocars.