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Myofascial Pain Syndromes

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Characterizing the SEMG patterns with myofascial pain using a multi-scale wavelet model through machine learning approaches.

Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology 29890503
In this paper, we introduce a newly developed multi-scale wavelet model for the interpretation of surface electromyography (SEMG) signals and validate the model's capability to characterize changes in neuromuscular activation in cases with myofascial...
Adult Electromyography Female Humans Machine Learning Male Models, Neurological Muscle, Skeletal Myofascial Pain Syndromes Shoulder
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Feasibility of a Support Vector Machine Classifier for Myofascial Pain Syndrome: Diagnostic Case-Control Study.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine 30614553
OBJECTIVES: Myofascial pain syndrome (MPS) is the most common cause of chronic pain worldwide. The diagnosis of MPS is subjective, which has created a need for a robust quantitative method of diagnosing MPS. We propose that using a support vector mac...
Adult Algorithms Case-Control Studies Feasibility Studies Female Humans Male Myofascial Pain Syndromes Sensitivity and Specificity Superficial Back Muscles Support Vector Machine Syndrome Ultrasonography Young Adult
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MyofAPPcial: Construct validity of a novel technological aid for improving clinical reasoning in the management of myofascial pain syndrome.

European journal of clinical investigation 39239962
BACKGROUND: Physiotherapists encounter challenges in diagnosing myofascial trigger points (MTrPs), which are crucial for managing myofascial pain but difficult due to their complex referred pain patterns. We aimed to assess if an interactive software...
Adult Clinical Reasoning Cross-Sectional Studies Female Humans Machine Learning Male Middle Aged Myofascial Pain Syndromes Physical Therapists Reproducibility of Results
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