AIMC Topic: Myofascial Pain Syndromes

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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 Sep 6, 2024
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...
Humans Machine Learning Female Reproducibility of Results Adult Cross-Sectional Studies Male Middle Aged Clinical Reasoning Physical Therapists Myofascial Pain Syndromes
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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 Jan 7, 2019
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...
Humans Algorithms Female Young Adult Adult Sensitivity and Specificity Male Case-Control Studies Ultrasonography Support Vector Machine Syndrome Feasibility Studies Superficial Back Muscles 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 Jun 2, 2018
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...
Humans Machine Learning Female Adult Male Models, Neurological Muscle, Skeletal Electromyography Shoulder Myofascial Pain Syndromes
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