Multilevel Pain Assessment with Functional Near-Infrared Spectroscopy: Evaluating Δ<i>HBO</i><sub>2</sub> and Δ<i>HHB</i> Measures for Comprehensive Analysis

Multilevel Pain Assessment with Functional Near-Infrared Spectroscopy: Evaluating Δ<i>HBO</i><sub>2</sub> and Δ<i>HHB</i> Measures for Comprehensive Analysis

Assessing pain in non-verbal patients is challenging, often depending on clinical judgment which can be unreliable due to fluctuations in vital signs caused by underlying medical conditions. To date, there is a notable absence of objective diagnostic tests to aid healthcare practitioners in pain ass...

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Bibliographic Details
Main Authors: Muhammad Umar Khan, Maryam Sousani, Niraj Hirachan, Calvin Joseph, Maryam Ghahramani, Girija Chetty, Roland Goecke, Raul Fernandez-Rojas
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Sensors
Subjects:
pain assessment
fNIRS
statistical features
SVM
machine learning
Online Access:https://www.mdpi.com/1424-8220/24/2/458

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https://www.mdpi.com/1424-8220/24/2/458

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