Earticle

초록

영어

We invented a wearable device that can measure voiding time and fre-quency by checking a habitual series of characteristic motions among men. This study collected and analyzed urination time data collected smart bands worn by patients to resolve the clinical issues posed by using voiding charts. By developing a smart band-based algorithm for assessing urination time in patients, this study aimed to explore the fea-sibility of urination management systems. This study aimed to assess urination time based on a patient’s posture and changes in posture. Motion data were obtained from a smart band on the arm. An algorithm that identifies the three stages of urination (forward movement, urina-tion, backward movement) was developed based on data collected from a 3-axis accelerometer and tilt angle data. Therefore, we analyze hidden Markov model (HMM)-based sequential data to determine uri-nation time. Real-time data were acquired from the smart band. For data corresponding to a specific duration, the value of the signals was calculated and then compared with the set analysis model to calculate the time of urination. The final accuracy of the algorithm was calculated based on clinical guidelines for urologists. The experiment showed a high average accuracy of 92.5%, proving the robustness of the pro-posed algorithm. The proposed urination time recognition technology draws on acceleration data and tilt angle data collected via a smart band; these data were then analyzed using a classifier after applying the HMM method.

목차

Abstract
INTRODUCTION
MATERIALS AND METHODS
User-adaptable postprocessing model
Statistical analysis
RESULTS
DISCUSSION
CONFLICT OF INTEREST
ACKNOWLEDGMENTS
REFERENCES

키워드

저자

• Gun Hyun Park [ Department of Urology, Gachon University Gil Medical Center, Gachon University College of Medicine, Incheon, Korea ]
• Su Jin Kim [ Department of Urology, Yonsei University Wonju College of Medicine, Wonju, Korea ]
• Young Sam Cho [ Department of Urology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  JER [Journal of Exercise Rehabilitation]

• 간기

  격월간

• pISSN

  2288-176X

• eISSN

  2288-1778

• 수록기간

  2013~2026

• 등재여부

  SCOPUS,KCI 등재

• 십진분류

  KDC 517 DDC 613