Purpose: To determine if the MyoVista electrocardiography device predicts myocardial injury after vascular surgery. Methodology: The MyoVista wavECG device utilises continuous wavelet transform signal processing and artificial intelligence to detect diastolic dysfunction pre-operatively, in patients undergoing vascular surgery procedures. Troponin levels were collected pre-operatively, as well as at post-operative days 1, 2 and 3. MINS was defined as an increase in any post-operative troponin. Secondary outcomes of 30-day readmission and mortality were collected. Statistical analysis was performed using Fischer’s exact test and binary logistics regression, IBM SPSS v31. Results: The study included 46 participants, age 71.2±11.9 years old. Majority were male (78.3%), with median ASA of 3. Majority of included procedures were carotid endarterectomies (28.3%), open abdominal aortic aneurysm repairs (21.7%), endovascular approaches to lower limb revascularizations (17.4%) and minor amputations (15.2%). Myocardial injury after non-cardiac surgery (MINS) was higher in current smokers (33.3%), compared non-smokers (16.0%), then ex-smokers (6.7%), p=0.303. Pre-operative findings of diastolic dysfunction with MyoVista was associated with higher MINS (25.0% vs. 5%, p=0.106), with an OR of 6.33 (95% CI, 0.69-57.9). After adjusting for age, sex, history of cardiac disease, diabetes mellitus, and chronic kidney disease, preoperative diastolic dysfunction had greater significance on MINS, with OR of 16.1 (95% CI, 1.07-242.5, p=0.044). Higher incidence of 30-day mortality (14.3% vs 0%, p=0.152) and readmissions (28.6% vs. 12.8%, p=0.286) was seen with occurrence of MINS. Conclusion: This study demonstrates a strong relationship between diastolic dysfunction detected via MyoVista wavECG device and MINS. In vascular surgery patients, this could provide additional value as a pre-operative assessment to identify those with increased cardiovascular risk.