Citation

Winkler S. Proc. MCI Med. Technol. Masters Conf. 2022; e8.

Copyright

(Copyright © 2022, MCI the Entrepreneurial University Group)

DOI

unavailable

PMID

unavailable

Abstract

Monitoring children who just learned to walk is challenging. As they can usually not swim, lack of monitoring around swimming pools poses a substantial risk. The result is that drowning is one of the main causes of accidental deaths for children. This paper describes a device that monitors respiration as soon as the child wearing it is in the water. By using a stretch sensor sewn into casual swimwear, respiratory movement is measured and processed. To detect respiratory distress and the onset of drowning, two different approaches are described and evaluated. One is based on processing the signal's slope and the other one on a convolutional neural network. To send an alarm in case of detection, an underwater wireless communication system is developed which is based on ultrasonic acoustic waves.

RESULTS from testing the respiratory monitoring and communication independently are presented. Finally, testing prototypes have shown that the proposed device design works in a real-world scenario.

https://sakai.mci4me.at/access/lessonbuilder/item/833185/group/special.project.paper/Lessons/MasterPaper_SimonWinkler_FINAL.pdf

Language: en