MRI during exercise stress can be a powerful tool in discerning abnormal cardiac behavior not apparent at rest. As a result of increased cardiac and respiratory motion, robust gating is essential for high-quality acquisitions during exercise. Due to increased patient motion, however, missed ECG triggers are more likely during exercise than at rest. For reconstructions with retrospective gating, such missed triggers can result in data attributed to the wrong portion of the cardiac cycle. In this work, we present an algorithm to identify and correct missed ECG triggers, allowing for exercise scans otherwise compromised by poor gating to be salvaged.