The　12-lead　electrocardiogram　is　of　considerable　significance　for　the　preliminary　diagnosis　of　the　heart.　Nevertheless,　as　reported　in　the　electrocardiogram　monitoring　based　on　neuromorphic　hardware,　monitoring　multi-lead　electrocardiogram　signals　and　generating　the　final　assessment　results　entail　multiple　array　circuits　and　two　operations,　which　present　limitations　in　terms　of　device　uniformity　and　accuracy.　In　this　study,　a　neuromorphic　parallel　computing　hardware　based　on　synaptic　transistors　is　proposed,　enabling　the　realization　of　12-lead　electrocardiogram　monitoring　within　a　single　array　circuit　rather　than　twelve　array　circuits.　It　is　capable　of　processing　multiple　electrocardiograms　simultaneously　and　outputting　the　final　result　signal　without　the　need　for　external　computing　and　control　circuits.　Additionally,　the　training　accuracy　for　classifying　multiple　electrocardiogram　signals　exceeds　98%.　©　2025　SPIE.