Team members

Matthieu HEIDET

I currently work at the SAMU 94 and ED, Assistance Publique – Hôpitaux de Paris. My research fields focus on Pre-hospital Care, Medical Technology and Emergency Medicine :

Optimization of prehospital access to urgent care (emergency call center, EMS units dispatch and routing, innovative technologies, artificial intelligence)
Identification of geographic and socioeconomic predictors of altered EMS response / delayed EMS response times, and outcomes
Equity of access to urgent care

Journals

S. Nita, S. Bitam, M. Heidet, A. Mellouk, “A new data augmentation convolutional neural network for human emotion recognition based on ECG signals”. Biomedical Signal Processing And Control, Elsevier SCI LTD., 75: 103580 (2022) (Q1, IF=4,9) (CA)
M. Heidet, K. Tazarourte, É. Mermet, J. Freyssenge, A. Mellouk, M. Khellaf, É. Lecarpentier, Accessibility to Urgent Care: Complex Determinants, the Need for Innovative Solutions, Annales Françaises de Médecine d’Urgence, Lavoisier Ed., Vol. 12, n°5, pp. 302-312, 2022 (Q4, IF=0,1).