Assessment of Remote Approaches for Identification of Autonomic Dysfunction Among Survivors of Leukemia and Lymphoma

This study seeks to determine if diagnosing cardiac autonomic dysfunction (AD) can be done remotely with the same accuracy as in-person testing. If so, the identification of AD could happen sooner, facilitating remote studies of the condition and potentially reducing the risk of illness. Childhood cancer survivors, particularly survivors of acute lymphoblastic leukemia (ALL) and Hodgkins's lymphoma (HL), appear to be at increased risk for AD. Primary Objectives: * To determine the sensitivity and specificity of heart rate variability (HRV), measured remotely with biosensor technology (Actigraph LEAP), compared to in-person assessment using the Ewing battery as the reference standard to identify cardiac autonomic dysfunction (AD) among survivors of leukemia and lymphoma. * To determine the sensitivity and specificity of the Composite Autonomic Symptom Scale 31 (COMPASS31) compared to the Ewing battery to identify AD among leukemia and lymphoma survivors.