物理治疗与身体康复杂志

Wavelet Scattering Transform Multimodal Signal Analysis for Physiotherapy Pain Recognition

Abstract

Julian Grayson

Facial treatment is a successful but uncomfortable surgery. The physiotherapist needs to know how much pain you are experiencing in order to modify your therapy and prevent tissue damage. Due to the subjectivity of a self-report and the need for automated pain-related reaction assessment in physiotherapy, we have created a method. We calculate the feature vector, which includes the coefficients of the wavelet scattering transform, using a multimodal data set. Three levels of reaction are distinguished by the AdaBoost classification model (no-pain, moderate pain and severe pain). Our survey makes the assumption that each patient will respond to pain differently and be more or less resistant to it. The outcomes reflect how each patient experiences pain differently. Additionally, they demonstrate that binary recognition is outperformed by multiclass evaluation.