

ECG/GSR measurement systems are AI-supported solutions developed to support patient monitoring, early diagnosis, and treatment processes in the healthcare sector. The ECG (Electrocardiogram) module measures the heart's electrical activity with high accuracy, determining rhythm disorders, heart rate, and potential cardiac problems. The GSR (Galvanic Skin Response) module monitors changes in electrical conductivity on the skin surface, providing data on stress levels, emotional responses, and the autonomic nervous system. The simultaneous use of these two systems enables the concurrent evaluation of the patient's physical and psychological status. Data obtained from the sensors is instantly transferred to the central software, analyzed, and transmitted to healthcare personnel.

This technology is widely used in hospitals, clinics, sports health monitoring centers, remote patient monitoring solutions, psychology and neurology clinics, and research laboratories. Healthcare personnel can make faster and more reliable decisions with the data from the system, thereby increasing patient satisfaction and improving the quality of healthcare services.
Planning the sensor and software infrastructure appropriate for the usage scenario
Integration of ECG and GSR sensors into devices and establishment of the data collection and transmission infrastructure.
Analysis of collected data with artificial intelligence, generation of meaningful reports, and transmission to healthcare personnel.