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Journal de physiothérapie et de réadaptation physique

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Volume 8, Problème 1 (2023)

Revoir

The Benefits of Massage Therapy for Stroke Patients Sequelae

Beckett Curran

Adults with long-term disabilities have the highest risk of stroke. Stroke survivors experience agonist antagonist co-contraction, weakness, spasticity, and lack of coordination as upper motor neuron syndrome signs and symptoms. Stroke survivors experience permanent disability at up to 50%. They all add up to impairments and problems with functioning that could cost a lot of money. Physical therapy can help people with disabilities by improving their disability and quality of life. The most common form of passive physical therapy is manual therapeutic massage, which is one of the oldest forms of medicine known to man and has been used worldwide since antiquity. All back rub controls exert mechanical forces on delicate tissues via "mechanotransduction." Massage may help reduce muscle stiffness and increase muscle compliance by increasing blood flow and muscle temperature. Therapeutic massage comes in many different varieties. In the Western world, Swedish massage is the most common type of massage. Based on Western ideas of anatomy and physiology, one of the most common treatments for athletes who want to improve their performance is massage. In order to achieve or maintain health, it requires the systematic application of manual pressure as well as the movement of soft tissue with rhythmic pressure and stroking.

Mini-revue

Analyzing Multimodal Signals with Wavelet Scattering for Pain Detection in Physiotherapy

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.

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