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Sang-Hyup Lee,Seunguk Oh,Young-Guk Ko,Yong-Joon Lee,Seung-Jun Lee,Sung-Jin Hong,Chul-Min Ahn,Jung-Sun Kim,Byeong-Keuk Kim,Kyu-Yong Ko,Iksung Cho,Chi Young Shim,Geu-Ru Hong,Donghoon Choi,Myeong-Ki Hong 대한심장학회 2024 Korean Circulation Journal Vol.54 No.2
Background and Objectives: Evidence regarding the efficacy and safety of intracardiac echocardiography (ICE) for guidance during transcatheter aortic valve replacement (TAVR) is limited. This study aimed to compare the clinical efficacy and safety of ICE versus transesophageal echocardiography (TEE) for guiding TAVR. Methods: This prospective cohort study included patients who underwent TAVR from August 18, 2015, to June 31, 2021. Eligible patients were stratified by echocardiographic modality (ICE or TEE) and anesthesia mode (monitored anesthesia care [MAC] or general anesthesia [GA]). Primary outcome was the 1-year composite of all-cause mortality, rehospitalization for cardiovascular cause, or stroke, according to the Valve Academic Research Consortium-3 (VARC-3) definition. Propensity score matching was performed, and study outcomes were analyzed for the matched cohorts. Results: Of the 359 eligible patients, 120 patients were matched for the ICE-MAC and TEE-GA groups, respectively. The incidence of primary outcome was similar between matched groups (18.3% vs. 20.0%; adjusted hazard ratio, 0.94; 95% confidence interval [CI], 0.53–1.68; p=0.843). ICE-MAC and TEE-GA also had similar incidences of moderate-to-severe paravalvular regurgitation (PVR) (4.2% vs. 5.0%; adjusted odds ratio, 0.83; 95% CI, 0.23–2.82; p=0.758), new permanent pacemaker implantation, and VARC-3 types 2–4 bleeding. Conclusions: ICE was comparable to TEE for guidance during TAVR for the composite clinical efficacy outcome, with similar incidences of moderate-to-severe PVR, new permanent pacemaker implantation, and major bleeding. These results suggest that ICE could be a safe and effective alternative echocardiographic modality to TEE for guiding TAVR.
Unsupervised Clustering for Abnormality Detection Based on the Tri-axial Accelerometer
Min-Seok Lee,Jong-Gwan Lim,Ki-Ru Park,Dong-Soo Kwon 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
Today’s society confronts the aged problem by the reason that the rate of the population over age 65 increases rapidly in world wide. One important problem is how to manage them effectively from the dangerous emergency like falling, slipping or unintended activity. Such activity is required to be detected as the abnormal behavior to predict the dangerous emergency of elderly people so that they are protected from more fatal situation. There are many researches to classify the behavior but it is evaluated that it is not proper to detect just only the abnormal behavior. We propose the method of unsupervised learning to overcome the disadvantage of the supervised learning method only for abnormal activity detection. In experiment, we show that the unsupervised learning can be used to detect abnormal behavior from three subjects.