Department of Cardiothoracic Surgery, Presbyterian Hospital, New York, USA
Mini Review
Wavelet Scattering Transform Multimodal Signal Analysis for Physiotherapy Pain Recognition
Author(s): 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... Read More»
DOI:
10.37421/2573-0312.2022.07.303
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