DOI QR코드

DOI QR Code

웨어러블 단말의 가속도 센서를 이용한 수면 중 움직임 및 자세를 감지하는 방법

A Method for Detecting Movement and Posture During Sleep Using an Acceleration Sensor of a Wearable Device

  • 투고 : 2021.11.05
  • 심사 : 2021.11.22
  • 발행 : 2022.02.28

초록

The number of patients with many complications grows with the increase of aging population. As the elders and severely ill patients spend most of their time in bed, it leads to Pressure Injuries (PI) such as bedsores. Unfortunately, there is no method to automatically detect changes in patient's posture which leads to the need for a caregiver every set of times when the patient needs to be moved. Many studies are conducted to solve this inefficient problem. Yet, these studies require costly devices or use methods that disturb patient's sleeping environment. Those methods are mostly hard to implement in practice due to these reasons. We propose a method to detect posture using a three-axis acceleration sensor from the wrist band. We developed a wearable watch that measures sleep-related data. We analyzed 40 people's sleep data with a wearable module and watch to measure their postures such as supine, left-side, and right-side. Then, we compared the classified posture from the watch with the wearable module and achieved 90% accuracy. Therefore, we concluded that only by using the wearable watch, we can detect the sleeping position without any new equipment or system to diagnose the patients without discomfort during their daily lives.

키워드

과제정보

이 논문은 2018년도 정부 (교육부)의 재원으로 한국연구재단의 지원을 받아 수행된 기초연구사업임 (No. NRF-2018R1A6A1A03025109). 이 논문은 2018학년도 경북대학교 국립대학육성사업 지원비에 의하여 연구되었음.

참고문헌

  1. M. B. Pouyan, J. Birjandtalab, M. Heydarzadeh, M. Nourani, S. Ostadabbas, "A Pressure map Dataset for Posture and Subject Analytics," 2017 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI). IEEE, pp. 65-68, 2017.
  2. A. A. P. Wai, K. Yuan-Wei, F. S. Fook, M. Jayachandran, J. Biswas, J. J. Cabibihan, "Sleeping Patterns Observation for Bedsores and Bed-side Falls Prevention," 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2009.
  3. N. Yildirim, M. F. Fitzpatrick, K. F. Whyte, R. Jalleh, A. J. Wightman, N. J. Douglas, "The Effect of Posture on Upper Airway Dimensions in Normal Subjects and in Patients with the Sleep Apnea/hypopnea Syndrome," Am Rev Respir Dis. Vol. 144, No. 4, pp. 845-847, 1991. https://doi.org/10.1164/ajrccm/144.4.845
  4. Y. J. Jeon, S. J. Kang, "Wearable Sleepcare Kit: Analysis and Prevention of Sleep Apnea Symptoms in Real-time," IEEE Access. Vol. 7, pp. 60634-60649, 2019. https://doi.org/10.1109/access.2019.2913849
  5. T. H Kim, S. J Kwon, H. M Choi, Y. S Hong, "Determination of Lying Posture Through Recognition of Multitier Body Parts," Wireless Communications and Mobile Computing. Vol. 2019, Article ID. 9568584, 2019.
  6. J. J. Liu, W. Xu, M. C. Huang, N. Alshurafa, M. Sarrafzadeh, N. Raut, B. Yadegar, "A Dense Pressure Sensitive Bedsheet Design for Unobtrusive Sleep Posture Monitoring," 2013 IEEE International Conference on Pervasive Computing and Communications (PerCom). IEEE, pp. 207-215, 2013.
  7. R. D. Cartwright, F. Diaz, S. Lloyd, "The Effects of Sleep Posture and Sleep Stage on Apnea Frequency," Sleep. Vol. 14, No. 4, pp. 351-353, 1991. https://doi.org/10.1093/sleep/14.4.351
  8. P. Jakkaew, T. Onoye, "Non-contact Respiration Monitoring and Body Movements Detection for Sleep Using Thermal Imaging," Sensors. Vol. 20, No. 21, pp. 6307, 2020. https://doi.org/10.3390/s20216307
  9. S. A. Shah, N. Zhao, A. Ren, Z. Zhang, X. Yang, J. Yang, W. Zhao, "Posture Recognition to Prevent Bedsores for Multiple Patients Using Leaking Coaxial Cable," IEEE Access. Vol. 4, pp. 8065-8072, 2016. https://doi.org/10.1109/ACCESS.2016.2628048
  10. H. Yoon, S. Hwang, D. Jung, S. Choi, K. Joo, J. Choi, K. Park, "Estimation of Sleep Posture Using a Patch-type Accelerometer Based Device," 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, pp. 4942-4945, 2015.