PREDICTION OF CLINICAL OUTCOME USING LARGE ARRAY SURFACE MYOELECTRIC POTENTIALS

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.