Department of Cardiothoracic Surgery, Presbyterian Hospital, New York, USA
 Mini Review   
								
																Analyzing Multimodal Signals with Wavelet Scattering for Pain Detection in Physiotherapy 
																Author(s): Julian Grayson*             
								
																
						 Surgery that is successful but uncomfortable is facial treatment. In order to modify your treatment and prevent tissue damage, the physiotherapist 
  needs to know how much pain you are experiencing. We have developed a method due to the necessity of automated pain-related reaction 
  assessment in physiotherapy and the subjectivity of a self-report. Using a multimodal data set, we calculate the feature vector, which also includes 
  the coefficients of the wavelet scattering transform. The AdaBoost classification model differentiates between no pain, moderate pain, and severe 
  pain. The assumption that is made in our survey is that every patient will react to pain in a different way and be more or less resistant to it. The 
  outcomes show how different pain feels for each patient. In addition, they demonstrate that multiclass evaluation outperforms binary recognition... Read More»
						  
																DOI:
								10.37421/2573-0312.2023.8.319