@inproceedings{StrelchukNechyporenkoFrohmeetal.2024, author = {Strelchuk, Yaroslav and Nechyporenko, Alina and Frohme, Marcus and Gargin, Vitaliy and Lupyr, Andrii and Alekseeva, Victoriia}, title = {Detection of stress using photoplethysmography}, series = {Proceedings of the 7th International Conference on Informatics \& Data-Driven Medicine (IDDM 2024)}, volume = {3892}, booktitle = {Proceedings of the 7th International Conference on Informatics \& Data-Driven Medicine (IDDM 2024)}, editor = {Shakhovska, Nataliya and Jiao, Jianbo and Izonin, Ivan and Chretien, Stephane}, publisher = {RWTH Aachen}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-19896}, pages = {196 -- 202}, year = {2024}, abstract = {Stress is an important factor affecting human health, and its timely detection can significantly improve quality of life. This study addresses the current issue of identifying stress states using photoplethysmography signals obtained from the wearable Shimmer 3 sensor. The purpose of the study was to establish an effective approach for stress detection, specifically through the analysis of heart rate variability changes during different states: rest and stress. A distinctive feature of the research is the use of the air raid siren sound as a stress factor. The research methodology includes the collection and analysis of biosignals, allowing for the assessment of cardiovascular system functioning under the impact of stress factors. The results of the study demonstrated significant differences in heart rhythm indicators depending on the person's state, highlighting the potential of these metrics as a tool for health monitoring and stress detection. The paper proposes a new approach to using photoplethysmography for assessing stress responses, which may contribute to the development of personalized stress management methods.}, language = {en} }