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The brachial plexus is a complex network of peripheral nerves that enablessensing from and control of the movements of the arms and hand. Nowadays, thecoordination between the muscles to generate simple movements is still not wellunderstood, hindering the knowledge of how to best treat patients with thistype of peripheral nerve injury. To acquire enough information for medical dataanalysis, physicians conduct motion analysis assessments with patients toproduce a rich dataset of electromyographic signals from multiple musclesrecorded with joint movements during real-world tasks. However, tools for theanalysis and visualization of the data in a succinct and interpretable mannerare currently not available. Without the ability to integrate, compare, andcompute multiple data sources in one platform, physicians can only computesimple statistical values to describe patient's behavior vaguely, which limitsthe possibility to answer clinical questions and generate hypotheses forresearch. To address this challenge, we have developed \systemname, aninteractive visual analytics system which provides an efficient framework toextract and compare muscle activity patterns from the patient's limbs andcoordinated views to help users analyze muscle signals, motion data, and videoinformation to address different tasks. The system was developed as a result ofa collaborative endeavor between computer scientists and orthopedic surgery andrehabilitation physicians. We present case studies showing physicians canutilize the information displayed to understand how individuals coordinatetheir muscles to initiate appropriate treatment and generate new hypotheses forfuture research.

Motion Browser: Visualizing and Understanding Complex Upper Limb Movement Under Obstetrical Brachial Plexus Injuries