Earticle

초록

영어

Stroke is one of the major causes of death worldwide, and in Korea, it has the second highest mortality rate after cancer. Stroke patients require continuous observation and rehabilitation treatment after onset, and in particular, paralysis symptoms are likely to worsen during rehabilitation, emphasizing the need for a real-time monitoring system. Meanwhile, the importance of medical data quality control (QC) algorithms is increasing. In this study, various causes such as failure of sensors such as voltage, current, and temperature of the patient's imaging device diagnostic device, or power loss, may cause malfunctions and transmit inaccurate data. Therefore, in order to secure the reliability of the patient's imaging device diagnostic device data, we plan to design data analysis and algorithms based on QC data of the imaging device diagnostic device. In order to design data analysis and algorithms based on QC data, a system capable of measuring and analyzing sensor data of imaging device diagnostic equipment was built. The reference values of the algorithms to be developed, such as physical limit tests, continuity tests, step tests, median filter tests, and frequency distribution tests, were derived. Voltage, current, and temperature sensor data were statistically analyzed, and in the case of analysis that changes in real time, algorithm S/W was inserted to calculate in real time. It is judged that by monitoring in real time, efficient management and maintenance of the device, and rapid response to device failures will be possible. In the case of device failure, various accidents and high costs can occur. Therefore, if real-time failures are confirmed and rapid maintenance is possible, maintenance costs can be reduced and reliability can be improved, so it is judged that efficient management of the device will be possible.

목차

Abstract
1. 서론
2. 센서데이터 분석
3. 기준값 도출
4. 알고리즘 설계 및 적용
5. 결론
6. References

키워드

저자

• 최홍주 [ Hong-Ju Choi | 상지대학교 전기전자공학과 ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  대한안전경영과학회지 [Journal of Korea Safety Management & Science]

• 간기

  계간

• pISSN

  1229-6783

• eISSN

  2288-1484

• 수록기간

  1999~2025

• 십진분류

  KDC 530 DDC 620