• Journal of Chest Surgery
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• 제22권2호
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• pp.212-219
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• 1989

We utilized pulmonary artery pressure monitoring system in risky patients for preventing the postoperative pulmonary hypertensive crisis and for sampling the mixed venous blood. And this mixed venous blood oxygen saturation [MVSO2] or partial pressure [MVPO2]tells us many meaningful patients state. We selected 59 cyanotic congenital heart diseased patients, who were operated in our hospital from Nov. 1987 to Oct. 1988, in the Department of Thoracic and Cardiovascular Surgery, Seoul National University Children\ulcorner Hospital, who had pulmonary artery pressure monitoring catheter and who made us know their mixed venous oxygen condition. We found that there was no close relationship between MVPO2 and Cardiac Index [C.I.] during early postoperative period, but on the first and second day after operation the correlation coefficient was increased as r=0.35[p=0.008], r=0.78[p=0.0001]. So we concluded that the correlation between MVPO2 and C.I. was more reliable with time going as hemodynamic stabilization. And we experienced no survivors whose MVPO2 was under 20 torr, but that was not the only factor for death. From these results, we conclude that we can consider the MVPO2 [or MVSO2] representing C.I. after stabilized postoperative condition of the open heart surgery patients, but during early postoperative period, in addition to this MVPO2, we should do also apply other parameter such as urine output, arterial blood pressure, left atrial pressure and pulmonary arterial pressure for exact estimation of the patients status.

• International journal of advanced smart convergence
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• 제9권3호
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• pp.169-175
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• 2020

A lot of research has been conducted on a system that collects and observes patients' health information in real time using Internet of Things (IoT) technology, and cares for and supports patients based on this. However, most studies have focused on underlying diseases such as diabetes or cardiovascular disease, and research on IoT systems to cope with respiratory infectious diseases such as COVID-19 is still insufficient. In a COVID-19 situation, the purpose of using an IoT respirator may vary depending on the user. In this paper, we design a system that can adequately cope with respiratory infectious diseases such as COVID-19 by applying IoT technology to respiratory protection. We categorize IoT respirator wearers into patients, medical staff, and self-quarantine persons, and define the purpose and use case of the IoT respirator system according to each classification. The proposed IoT respirator system was designed to achieve each purpose. We developed a prototype system consisting of a smart sensor, a communication module, and a non-motorized hooded respirator to show that the proposed IoT respirator system works.

• 한국전기전자재료학회논문지
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• 제23권1호
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• pp.76-85
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• 2010

In general, anesthetic depth is evaluated by experience of anesthesiologist based on the changes of blood pressure and pulse rate. So it is difficult to guarantee the accuracy in evaluation of anesthetic depth. The efforts to develop the objective index for evaluation of anesthetic depth were continued but there was few progression in this area. Heart rate variability provides much information of autonomic activity of cardiovascular system and almost all anesthetics depress the autonomic activity. Novel monitoring system which can simply and exactly analyze the autonomic activity of cardiovascular system will provide important information for evaluation of anesthetic depth. We investigated the anesthetic depth as following 7 stages. These are pre-anesthesia, induction, skin incision, before extubation, after extubation, Post-anesthesia. In this study, temporal, frequency and chaos analysis method were used to analyze the HRV time series from electrocardiogram signal. There were NN10-NN50, mean, SDNN and RMS parameter in the temporal method. In the frequency method, there are LF and HF and LF/HF ratio, 1/f noise, alphal and alpha2 of DFA analysis parameter. In the chaos analysis, there are CD, entropy and LPE. Chaos analysis method was valuable to estimate the anesthetic depth compared with temporal and frequency method. Because human body was involved the choastic character.

• Mass Spectrometry Letters
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• 제12권1호
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• pp.1-10
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• 2021

A simple, specific, and economical LC-MS/MS method was investigated for the screening of 43 prescribed antihypertensive and related drugs in human urine. The urine samples were simply prepared by diluting and mixing with internal standard before directly introduced to the LC-MS/MS system, which is fast, straightforward, and cost-effective. Fractional factorial, Box-Behnken, and I-optimal design were applied to screen and optimize the mass spectrometric and chromatographic factors. The analysis was carried out on a triple quadrupole mass spectrometer system utilizing multiple reaction monitoring with positive and negative electrospray ionization method. Chromatographic separation was performed on a Thermo Scientific Accucore RP-MS column (50 × 3.0 mm ID., 2.6 ㎛) using two separate gradient elution programs established with the same mobile phases. Chromatographic separation was performed within 12 min. The optimal method was validated based on FDA guideline. The results indicated that the assay was specific, reproducible, and sensitive with the limit of detection from 0.1 to 50.0 ㎍/L. The method was linear for all analytes with coefficient of determination ranging from 0.9870 to 0.9981. The intra-assay precision was from 1.44 to 19.87% and the inter-assay precision was between 2.69 and 18.54% with the recovery rate ranges from 84.54 to 119.78% for all drugs measured. All analytes in urine samples were stable for 24 h at 25℃, and for 2 weeks at -60℃. The developed method improves on currently existing methods by including larger number of cardiovascular medications and better sensitivity of 12 analytes.

• 센서학회지
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• 제17권3호
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• pp.229-235
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• 2008

In order to monitor the anticancer drug in stable conditions, the Web based anticancer drug management system and alarm services were constructed and assessed in this study. Anticancer drug should be exact to the correct patient in the right environment. To overcome the restriction of existing equipment that only monitors fragmentarily, temperature and humidity were continuously monitored to maintain stable environments using sensor networks and RFID for the monitoring and management of anticancer drug. Construction drug identification and the effect of normal air outside the anticancer dispensary with obstacles were evaluated in working hour. Pre-installed control system in the dispensary could be alternated with auto sensing and alarming. We expected that the efficiency of anticancer drug management and the reliability of drug medication by handwork would be increase accordingly.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2007년도 춘계종합학술대회
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• pp.347-350
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• 2007

본 연구는 무선 센서네트워크를 활용하여 환자 또는 고령자를 위한 ECG, 활동량 모니터링 시스템을 설계 및 구현하였다. 심전도 변화는 사람의 활동, 뛰거나 걷기 등의 움직임에 따라 조금씩 변화한다. 그래서 종종 자세, 행동에 따른 ECG변화의 기록은 중요시되며 이를 위해 매일 활동하는 환자의 활동 모니터링 시스템이 필요하다. ECG와 활동량 데이터는 자동 알림기능을 지원하는 시스템에 저장되고 긴급 상황 발생 시 보다 빠르게 초기 활동을 할 수 있게 한다. 몸에서 계측된 ECG 데이터와 활동량 데이터는 무선 센서네트워크를 통해 베이스테이션과 연결된 서버에 전송되며 서버에서 비정상적 상황을 판별시 발생 의사의 PDA 또는 서버에 데이터를 전송한다.

• 한국산업정보학회논문지
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• 제19권1호
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• pp.43-52
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• 2014

P-wave characteristic in the human electrocardiogram (ECG) is important in the diagnosis of atrial conduction pathology. In this paper, we measured an ECG signal from patient with cardiovascular disease using one lead ECG electrode system which is based on the wireless cardiac monitoring system. And we detected a P-wave in ECG signal using the complex-valued continuous wavelet transforms (CWT) according to two kinds of patch type electrodes such as an existing narrow patch type electrode and the improved wide patch type electrode presented in this paper. Also, we compared the characteristics in detecting the P-wave in terms of the magnitude and the width of P-waves. From the results of comparison we found that the width and the magnitude of P-wave detected using the wide patch type electrode is improved to be interpreted easier compared to those using the narrow patch type electrode. Furthermore, we have also proven that the complex-valued CWT can be used as a robust detector for P-wave in ECG signal analysis.

• Physical Therapy Rehabilitation Science
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• 제12권3호
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• pp.251-258
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• 2023

Objective: The practice of breathing exercises involves altering the depth and frequency of respiration. Strengthening respiratory muscles plays a crucial role in maintaining overall health and well-being. The efficiency of the respiratory system affects not only physical activity but also various physiological processes including cardiovascular health, lung function, and cognitive abilities. The study evaluated the reliability of the developed device for inspiratory/expiratory training using pressure sensors and Bluetooth connectivity with a smartphone application. Design: Design & development research Methods: The research methodology involved connecting a custom-made respiratory sensor to an IMT-PEP BIC Breath device. Various pressure conditions were measured, and statistical analyses were performed to assess reliability and consistency. Results showed high Intraclass Coefficient Correlation (ICC) values for both inspiratory and expiratory pressures, indicating strong test-retest reliability. The device was designed for ease of use and wireless monitoring through a smartphone app. Results: This study conducted at expiratory pressure confirmed the proper operation of the IMT/PEP breathing trainer at the specified pressure setting in the product. The pressure sensor demonstrated high test-retest reliability with an ICC value of 0.999 for both expiratory and inspiratory pressure measurements. Conclusions: The developed respiratory training device measured and monitored inspiratory and expiratory pressures, demonstrating its reliability for respiratory training. The system could be utilized to record training frequency and intensity, providing potential benefits for patients requiring respiratory interventions. Further research is needed to assess the full potential of the device in diverse populations and applications.

• 약학회지
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• 제54권6호
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• pp.455-460
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• 2010

We evaluated the inappropriateness of metformin use in patients with type 2 diabetes and chronic medical conditions to identify the frequency of the prescription metformin in violation of the food and drug administration (FDA) black box warning. We reviewed medical records of 307 outpatients who received metformin at endocrinology department in a hospital setting between January 1, 2005 and August 30, 2009. Of the 307 outpatients, 25 discontinued treatment of metformin due to elevated serum creatinine level (Scr${\geq}$1.5 mg/dl in male, Scr${\geq}$1.4 mg/dl in female), cancers, and/or liver disease. 5 were lost to follow-up. 89 (29.0%) of the patients had cardiovascular disease, 54.1% for hypertension, 9.8% for liver disease, and 60 (20.8%) for chronic kidney disease. 12 patients (3.9%) with chronic kidney disease and/or elevated serum creatinine level, and 1 patient (0.3%) with lactic acidosis were contraindicated to metformin use. Metformin should be avoided in 7 outpatients (2.3%) with active hepatitis and 1 patient (2.6%) with liver cirrhosis. Of the 307 outpatients, 13 (4.2%) patients who received metformin at the first visit and 16 (8.7%) patients who received metformin at the last visit violated to black box warning. 8 (2.6%) of the patients were in precautionary conditions to metformin use. Adjusted mean difference of serum creatinine was -0.16 mg/dl [95% CI: -0.22 to -0.11 (p<0.05)] and adjusted mean difference of alanine aminotransferase was 4.46 IU/l [95% CI: 2.47 to 6.44 (p<0.05)] between the first visit and the last visit. Critical number of elderly patients who are at the high risks of drug-disease and drug-laboratory interaction is exposed to the inappropriate metformin use in violation of black box warning. The periodic evaluation of metformin use and monitoring prescription through drug utility review (DUR) system is needed to improve patients' safety and to reduce adverse drug events.

• Journal of Chest Surgery
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• 제55권2호
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• pp.108-117
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• 2022

Background: The efficacy of telemedicine among cancer survivors is uncertain. The Smart After-Care Program (SAP), which is an interactive, smartphone-based remote health monitoring system, was developed to help patients manage their health after leaving the hospital. This study was designed to evaluate the efficacy of our remote health care program for lung cancer patients. Methods: We enrolled 50 patients with lung cancer. Self-monitoring devices were supplied to all patients, who were instructed to enter their daily vital signs and subjective symptoms to the Smart After-Care app. The app also provided information about rehabilitation exercises and a healthy diet for lung cancer patients. All patients received health counseling via telephone once a week and visited an outpatient clinic during weeks 6 and 12 to assess satisfaction with the SAP and changes in quality of life and physical performance. Results: Overall satisfaction with the SAP was very high (very good, 61.9%; good, 26.2%). In the multivariate analysis to identify factors affecting satisfaction, the distance between the patient's residence and the hospital was the only significant independent factor (p=0.013). Quality of life improved along all functional scales (p<0.05). Muscle strength significantly improved in the lower limbs (p=0.012). Two-minute walk distance also significantly improved (p=0.028). Conclusion: This study demonstrated that the SAP was acceptable for and supportive of patients with reduced pulmonary function after lung cancer treatment. The SAP was found to be particularly useful for patients living far from the hospital.