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Major thoracic surgery is high risk as it carries a significant risk of postoperative Adverse Events (AEs), where patients experience complications and do not recover as expected. These AEs can increase the risk of mortality, hospital length of stay, as well as healthcare costs. The investigators' aim is to improve surgical safety by pioneering a marked advance in preoperative prediction of postoperative AEs that will enable individualized targeted perioperative pathways to prevent postoperative AEs. Given that illness and stress are associated with a loss in physiologic variability (e.g. heart and respiration rate), the investigators will use heart and lung variability assessments to improve prediction of postoperative AEs. Therefore, this study aims to assess the feasibility of implementing a preoperative CardioPulmonary variability assessment; determine if preoperative CardioPulmonary
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