Designing a System that Records the Sleeping Position Data of Sleep Apnea Patients
Abstract
Sleeping positions have a significant impact on exposure of apnea patients to sleep apnea. In this study, the sleeping position of the patient was read with the STM microcontroller by using the body position sensor (SleepSense 1/8" Plug DC Body Position Sensor Kit) produced by the sleep sense company. This sensor produces results with analog signals between 0-2V. This analog signal was read using the ADC feature of the microcontroller. This signal read by the microcontroller was sent to the computer via the USB port. The C# software prepared on the computer reads the data from the microcontroller and saves this data and the arrival time of the data to the bit TXT file. The data in this TXT file is ready to be evaluated by signal processing methods. These data, together with other data obtained from the polysomnography device, can be used to learn the body position of the patient at the time of apnea.
Keywords
Supporting Institution
Project Number
Thanks
References
- [1] J. L. Pépin, S. Bailly, and R. Tamisier, "Big Data in sleep apnoea: Opportunities and challenges," Respirology, vol. 25, pp. 486-494, 2020.
- [2] F. Mendonça, S. S. Mostafa, A. G. Ravelo-García, F. Morgado-Dias, and T. Penzel, "Devices for home detection of obstructive sleep apnea: A review," Sleep medicine reviews, vol. 41, pp. 149-160, 2018.
- [3] R. Jane, "Engineering Sleep Disorders: From classical CPAP devices toward new intelligent adaptive ventilatory therapy," IEEE pulse, vol. 5, pp. 29-32, 2014.
- [4] D. Demirkol Çakmak, "Mobile sleep apnea detection and monitoring based on thermocouple and pulse oximeter sensors," 2018.
- [5] R. Agrawal, J. A. Wang, A. G. Ko, and J. E. Getsy, "A real-world comparison of apnea–hypopnea indices of positive airway pressure device and polysomnography," Plos one, vol. 12, p. e0174458, 2017.
- [6] L. Schwiebert, S. K. Gupta, and J. Weinmann, "Research challenges in wireless networks of biomedical sensors," in Proceedings of the 7th annual international conference on Mobile computing and networking, 2001, pp. 151-165.
- [7] M. Engin, A. Demirel, E. Z. Engin, and M. Fedakar, "Recent developments and trends in biomedical sensors," Measurement, vol. 37, pp. 173-188, 2005.
- [8] STMicroelectronics. (2021, 03.10.2021). STM32F407/417. Available: https://www.st.com/en/microcontrollers-microprocessors/stm32f407-417.html
Details
Primary Language
English
Subjects
Electrical Engineering
Journal Section
Research Article
Authors
Adem Gölcük
*
0000-0002-6734-5906
Türkiye
Mehmet Balcı
0000-0002-9552-5883
Türkiye
Sakir Tasdemır
0000-0002-2433-246X
Türkiye
Serkan Küççüktürk
0000-0001-8445-666X
Türkiye
Hülya Vatansev
0000-0002-8382-3904
Türkiye
Publication Date
April 30, 2022
Submission Date
December 23, 2021
Acceptance Date
April 7, 2022
Published in Issue
Year 2022 Volume: 8 Number: 1
