• Title/Summary/Keyword: biomedical

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Differences of Driving Performance and Physiological Responses Between Young Male and Female Drivers for Unexpected Situation Using a Ggraphic Vehicle Ssimulator (화상 자동차 시뮬레이터를 이용한 돌발 상황 발생 시 젊은 남녀 운전자의 운전 수행 능력과 생리 반응의 차이에 관한 연구)

  • Min, Byung-Chan;Kang, Jin-Kyu;Min, Soo-Young;Lee, Su-Jeong;Kim, Hyo-Seong;Yang, Jae-Woong;Choi, Mi-Hyun;Chung, Soon-Cheol;Lim, Dae-Woon;Lee, Jeong-Whan
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.33 no.1
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    • pp.108-113
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    • 2010
  • The purpose of this study was to investigate the differences of driving performance and physiological responses between young male and female drivers for unexpected situation using a graphic vehicle simulator. The participants included 20 college graduates; 23 males aged $24.3\;{\pm}\;1.4$ with $2.3\;{\pm}\;1.5$ years of driving experiences and 23 females aged $23.2\;{\pm}\;2.1$ with $2.2\;{\pm}\;1.7$ years of driving experience. The participants were instructed to drive the vehicle simulator which was programed unexpected situation for two minutes. The physiological measurements used were autonomic responses of electrocardiogram (ECG) and skin conductance response (SCR), and the driving performance measurements used were the reaction time of break and the rate of collision for unexpected situation. Results showed that there were no significant differences between male and female drivers in the reaction time of break and the rate of collision for unexpected situation. Averaged R-R interval decreased and LF IHF and SCL amplitude increased for unexpected situation. There were no significant differences between male and female in the averaged R-R interval and LF/HF for unexpected situation. On the other hand, SCL amplitude of female was higher than male. Rising time to maximum SCL amplitude of female was longer than male.

A study on optimization of golf putting motion using IR sensors (적외선센서를 이용한 골프 퍼팅자세 최적화에 관한 연구)

  • Lim, Sung-Hwan;Jung, Gu-In;Kim, Ji-Sun;Cha, Min-Su;Choi, Ju-Hyeon;Jun, Jae-Hoon
    • Proceedings of the KIEE Conference
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    • 2011.07a
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    • pp.15-16
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    • 2011
  • 최근 골프에 관한 관심도가 급증하고 있다. 현재 일반인들이 전문적인 골프 자세 교육을 받을 수 있는 교육시설은 비교적 흔하지 않다. 골프에서는 골프공의 위치나 양발너비가 퍼팅에 중요한 요인으로 작용한다. 본 연구는 퍼팅자세를 교정하는데 있어 도움을 주고자 하는 목적을 가지고 진행되었다. 적외선센서를 사용하여 비교적 간편하게 골퍼들의 신발에 탈부착을 할 수 있고 이용하기 간편하게 디자인 하였으며, 이는 보다 정확한 퍼팅자세를 훈련 하는데 도움이 될 수 있을 것이다. 더 나아가 이 실험은 골프뿐만 아니라 자세교정을 필요로 하는 스포츠분야에 적용될 수 있으며 보다 객관화된 데이터를 빠르고 정확하며 실시간으로 측정할 수 있음으로 더 많은 분야에서 사용자들에게 도움이 될 것이라고 사료된다.

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The hypertension drug, verapamil, activates Nrf2 by promoting p62-dependent autophagic Keap1 degradation and prevents acetaminophen-induced cytotoxicity

  • Lee, Da Hyun;Park, Jeong Su;Lee, Yu Seol;Sung, Su Haeng;Lee, Yong-ho;Bae, Soo Han
    • BMB Reports
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    • v.50 no.2
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    • pp.91-96
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    • 2017
  • Nuclear factor erythroid 2-related factor 2 (Nrf2) provides a cellular defense against oxidative stress by inducing the expression of antioxidant and detoxification enzymes. The calcium antagonist, verapamil, is an FDA-approved drug prescribed for the treatment of hypertension. Here, we show that verapamil acts as a potent Nrf2 activator without causing cytotoxicity, through degradation of Kelch-like ECH-associated protein 1 (Keap1), a Nrf2 repressor. Furthermore, verapamil-induced Keap1 degradation is prominently mediated by a p62-dependent autophagic pathway. Correspondingly, verapamil protects cells from acetaminophen-induced oxidative damage through Nrf2 activation. These results demonstrated the underlying mechanisms for the protective role of verapamil against acetaminophen-induced cytotoxicity.

Development of a Low-power Portable Wireless ECG System for Monitoring the Emergency Patient during Transfer in Hospital (응급환자 병원내 이송중의 모니터링을 위한 저전력형 휴대용 무선 ECG 시스템 개발)

  • Jang, Kee-Woong;Kim, Ji-Won;Kong, Se-Jin;Kim, Chul-Seung;Eom, Gwang-Moon
    • Proceedings of the KIEE Conference
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    • 2006.07d
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    • pp.2163-2164
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    • 2006
  • It is desirable to monitor the vital signals, such as ECG, of a emergency patient during transfer in the hospital as well as in the ambulance. The purpose of this study is to develop a system which provides a real-time and wireless ECG to the medical staff nearby patient during transfer in hospital. In this context, we developed a low-power, low-cost and portable ECG system consisting of 1) ECG measurement and RF transmission module and 2) RF receiving and LCD display module. The developed system is expected to be useful in monitoring ECG of a patient during transfer in the hospital.

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Biomedical Ontologies and Text Mining for Biomedicine and Healthcare: A Survey

  • Yoo, Ill-Hoi;Song, Min
    • Journal of Computing Science and Engineering
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    • v.2 no.2
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    • pp.109-136
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    • 2008
  • In this survey paper, we discuss biomedical ontologies and major text mining techniques applied to biomedicine and healthcare. Biomedical ontologies such as UMLS are currently being adopted in text mining approaches because they provide domain knowledge for text mining approaches. In addition, biomedical ontologies enable us to resolve many linguistic problems when text mining approaches handle biomedical literature. As the first example of text mining, document clustering is surveyed. Because a document set is normally multiple topic, text mining approaches use document clustering as a preprocessing step to group similar documents. Additionally, document clustering is able to inform the biomedical literature searches required for the practice of evidence-based medicine. We introduce Swanson's UnDiscovered Public Knowledge (UDPK) model to generate biomedical hypotheses from biomedical literature such as MEDLINE by discovering novel connections among logically-related biomedical concepts. Another important area of text mining is document classification. Document classification is a valuable tool for biomedical tasks that involve large amounts of text. We survey well-known classification techniques in biomedicine. As the last example of text mining in biomedicine and healthcare, we survey information extraction. Information extraction is the process of scanning text for information relevant to some interest, including extracting entities, relations, and events. We also address techniques and issues of evaluating text mining applications in biomedicine and healthcare.