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PREDICTION OF CLINICAL OUTCOME USING LARGE ARRAY SURFACE MYOELECTRIC POTENTIALS
PREDICTION OF CLINICAL OUTCOME USING LARGE ARRAY SURFACE MYOELECTRIC POTENTIALS
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机译:大阵列表面肌电势预测临床结果
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摘要
Methods and systems are provided for non-invasively predicting the outcome of facet nerve block procedures on patients experiencing lower back pain. A sensor array is configured to capture a set of large array surface electromyographic (LASE) data from a patient. A feature extractor computes at least one value representing the patient from the captured LASE data. A classifier selects one of a plurality of outcome classes for the patient according to the computed at least one value.
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