Heart Rate Variability: A Possible Machine Learning Biomarker for Mechanical Circulatory Device Complications and Heart Recovery

Theodore Lin, Zain Khalpey & Shravan Aras
Cardiovascular disease continues to be the number one cause of death in the United States, with heart failure patients expected to increase to >8 million by 2030. Mechanical circulatory support (MCS) devices are now better able to manage acute and chronic heart failure refractory to medical therapy, both as bridge to transplant or as bridge to destination. Despite significant advances in MCS device design and surgical implantation technique, it remains difficult to predict response to...
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