This study presents an innovative approach to speech breathing analysis, emphasizing the potential of Electromagnetic Articulography (EMA) as a viable tool. We compared the widely used Respiratory Inductive Plethysmography (RIP) with EMA by collecting speech breathing data from 18 speakers during sustained vowel productions of /a/ under habitual and loud speech conditions. Our findings indicate that EMA signals can effectively track temporal patterns of speech breathing movements, which do not differ from the RIP system. With this study, we would like to emphasize the potential of using (existing) EMA systems in laboratories to analyze speech breathing patterns. This paper explores the advantages and opportunities that arise from integrating EMA systems into speech breathing research. The findings suggest that such integration can enhance our understanding of speech production and contribute to advancements in related fields.