In this work, we analyzed only the patients of the NSTEMI (non ST-segment elevation myocardial infarction) who arrived at the hospital within 12 h after symptoms started. Using NSTEMI follow-up data within, the charac...In this work, we analyzed only the patients of the NSTEMI (non ST-segment elevation myocardial infarction) who arrived at the hospital within 12 h after symptoms started. Using NSTEMI follow-up data within, the characteristics of the clinical data, the risk factor, and the blood tested in the hospital visit were analyzed for MACE (major adverse cardiac events) patients. MACE includes cardiac death, MI (myocardial infarction), Re-PCI, and CABG (coronary artery bypass graft). As a result, from the NSTEMI patients which can be followed up for over 12 m, NT-ProBNP (p=0.014) and age (p=0.045) are found to be the independent risk factors related to MACE. Accordingly, they can be useful for the diagnosis and prognosis for NSTEMI patients as a biomarker.展开更多
An efficient calibration algorithm for an ambulatory audiometric test system is proposed. This system utilizes a personal digital assistant (PDA) device to generate the correct sound pressure level (SPL) from an audio...An efficient calibration algorithm for an ambulatory audiometric test system is proposed. This system utilizes a personal digital assistant (PDA) device to generate the correct sound pressure level (SPL) from an audiometric transducer such as an earphone. The calibrated sound intensities for an audio-logical examination can be obtained in terms of the sound pressure levels of pure-tonal sinusoidal signals in eight-banded frequency ranges (250, 500, 1 000, 2 000, 3 000, 4 000, 6 000 and 8 000 Hz), and with mapping of the input sound pressure levels by the weight coefficients that are tuned by the delta learning rule. With this scheme, the sound intensities, which evoke eight-banded sound pressure levels by 5 dB steps from a minimum of 25 dB to a maximum of 80 dB, can be generated without volume displacement. Consequently, these sound intensities can be utilized to accurately determine the hearing threshold of a subject in the ambulatory audiometric testing environment.展开更多
基金Project(2012-0000478) supported by the National Research Foundation of Korea (NRF) grant funded by the Korea Government (MEST)
文摘In this work, we analyzed only the patients of the NSTEMI (non ST-segment elevation myocardial infarction) who arrived at the hospital within 12 h after symptoms started. Using NSTEMI follow-up data within, the characteristics of the clinical data, the risk factor, and the blood tested in the hospital visit were analyzed for MACE (major adverse cardiac events) patients. MACE includes cardiac death, MI (myocardial infarction), Re-PCI, and CABG (coronary artery bypass graft). As a result, from the NSTEMI patients which can be followed up for over 12 m, NT-ProBNP (p=0.014) and age (p=0.045) are found to be the independent risk factors related to MACE. Accordingly, they can be useful for the diagnosis and prognosis for NSTEMI patients as a biomarker.
基金supported by the grant of the Korean Ministry of Education, Science and Technology (The Regional Core Research Program/Chungbuk BIT Research-Oriented University Consortium)
文摘An efficient calibration algorithm for an ambulatory audiometric test system is proposed. This system utilizes a personal digital assistant (PDA) device to generate the correct sound pressure level (SPL) from an audiometric transducer such as an earphone. The calibrated sound intensities for an audio-logical examination can be obtained in terms of the sound pressure levels of pure-tonal sinusoidal signals in eight-banded frequency ranges (250, 500, 1 000, 2 000, 3 000, 4 000, 6 000 and 8 000 Hz), and with mapping of the input sound pressure levels by the weight coefficients that are tuned by the delta learning rule. With this scheme, the sound intensities, which evoke eight-banded sound pressure levels by 5 dB steps from a minimum of 25 dB to a maximum of 80 dB, can be generated without volume displacement. Consequently, these sound intensities can be utilized to accurately determine the hearing threshold of a subject in the ambulatory audiometric testing environment.
