Project overview
In this project, we will develop a novel and transformative proof-of-concept autonomous
system that harnesses acoustic biomarkers of pain, which will guide healthcare
professionals to tailor and optimise analgesia for patients. At present, professionals rely
heavily on obtaining patients’ self-reported pain levels, which is subject to misrepresentation,
especially if a patient does not communicate well. The proposed project will adopt
established pain-induction techniques and identify acoustic biomarkers of pain in healthy
subjects. These markers will then be used to develop a tool that doctors can use as an
additional input when making decisions about pain management.
system that harnesses acoustic biomarkers of pain, which will guide healthcare
professionals to tailor and optimise analgesia for patients. At present, professionals rely
heavily on obtaining patients’ self-reported pain levels, which is subject to misrepresentation,
especially if a patient does not communicate well. The proposed project will adopt
established pain-induction techniques and identify acoustic biomarkers of pain in healthy
subjects. These markers will then be used to develop a tool that doctors can use as an
additional input when making decisions about pain management.
Staff
Lead researchers
Other researchers
Research outputs
Tu-Quyen Dao, Eike Schneiders, Jennifer Williams, John Robert Bautista, Tina Seabrooke, Ganesh Vigneswaran, Rishik Kolpekwar, Ritwik Vashistha & Arya Farahi,
2025, Scientific Data, 12(1)
Type: article
Jennifer Williams, Eike Schneiders, Henry Card, Tina Seabrooke, Beatrice Pakenham-Walsh, Tayyaba Azim, Lucy Valls-Reed, Ganesh Vigneswaran, John Robert Bautista, Rohan Chandra & Arya Farahi,
2024
Type: conference
Eike Schneiders, Jennifer Williams, Arya Farahi, Tina Seabrooke, Ganesh Vigneswaran, John Robert Bautista, Liz Dowthwaite & Anna-Maria Piskopani,
2023
Type: conference