Summary Objectives The selection of quantitative EEG markers according to their ability to grade the severity of cerebral disability after perinatal hypoxia and to predict long term prognosis. These markers will be associated in an automated analysis tool that can be used at the patient's bedside to facilitate visual analysis. Methods Full term neonatal EEG were recorded before the 6th hour of life after perinatal hypoxia. They were visually analysed and graded from 0 to 3 (French classification) by two neurophysiologists blinded to clinical data. Several quantitative EEG markers were calculated on different derivations: the minimal and maximal Amplitude Index (min and max AI), the Burst Suppression Rate (BSR), the Spectral Absolute Power and Relative Delta Power (AP and RDP), the Spectral Edge Frequency (SEF). Results Ninety EEG were selected between 2013 and 2017 for the quantitative analysis. The mean BSR on C3C4 discriminated the grades 3 from grades 1 and 2 (Youden index: 0.88) and the median min AI on C3T3 discriminated the grades 1 from grades 2 (Youden index 0.6). The mean BSR on C3C4 discriminated good outcome from poor outcome at 1 year (Air Under the Curve: AUC 0.89) and 2 years (AUC 0.87). Conclusion After perinatal hypoxia, quantitative EEG markers based on the analysis of the amplitude and the continuity of the signal are associated with the visual EEG grades of severity and with the evolution at 1 and 2 years. They can be used to develop an automated classifier to facilitate the visual interpretation, especially to evaluate the indication of therapeutic hypothermia (grades 2 and 3) and long-term prognosis.