Yasin Mamatjan

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About

Yasin Mamatjan’s research focuses on advancing **electrical impedance tomography (EIT)** for clinical use, particularly in monitoring pulmonary and cardiovascular functions. His major contributions lie in developing robust, automated testing frameworks and error-compensation techniques to address key barriers preventing EIT from transitioning from laboratory settings to routine use in intensive care units. His most-cited work, “Automated robust test framework for electrical impedance tomography” (2015, 11 citations), introduces a systematic, robot-assisted testing procedure using saline phantoms to ensure reliable, repeatable performance metrics for EIT devices. This work provides a critical quality-assurance tool for both researchers and device developers. In “Compensating Electrode Errors Due to Electrode Detachment in Electrical Impedance Tomography” (2013, 3 citations), Mamatjan tackles a practical clinical challenge—measurement errors caused by electrode detachment—offering a compensation method that enhances data reliability during long-term patient monitoring. His research is notable for bridging engineering rigor with real-world clinical demands, helping to make EIT a more viable tool for non-invasive bedside monitoring. Mamatjan’s work continues to influence the design of robust, clinically deployable EIT systems.