• Journal of agricultural medicine and community health
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• v.34 no.3
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• pp.346-358
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• 2009

Objectives: A study was conducted by analysing the contents and frequency of emergency treatment practiced by emergency medical technicians(EMTs) in emergency situations and contains related factors. Methods: The study subjects included 80 EMTs who participated in ongoing education classes during the period from June 25th to June 26th, 2008. the survey included 53 EMTs employed within 119 first aid teams in fire stations in both a metropolitan city and a medium-sized city. From the survey results relation between frequency of emergency treatment and subjects characteristics explored statistically including t-test, X2 test, Pearson correlation and finally stepwise multiple regression. Results: The most frequent procedure by EMTs checking vital signs. The statistically significant related factors overall of the 23 items of emergency treatment frequency was the working area and the grading of EMT certification. In contrast, significant related factors with frequency of IV linkage were found to be the subjects gender, institution employed and the importance of recognizing the item. The statistically significant related factors of that of ECG monitoring was the gender of respondents. Conclusions: To keep the appropriate frequency of emergency treatment by EMT, active efforts to promote their individual importance and confidence cognition are necessary, especially towards males and persons who have 2nd class certification. Moreover, EMTs who work in small cities must be supported.

• Journal of the Korea Society of Computer and Information
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• v.13 no.5
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• pp.117-124
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• 2008

It improves human being's life quality that all people can have mure convenient medical service under pervasive computing environment. For a pervasive health care application for cardiac patient, we've implemented a health care system, which is composed of three parts. Various sensors monitor outer as well as inner environment of human such as temperature, humidity, light and electrocardiogram, etc. These sensors form a network based on Zigbee. And medical information server accumulates sensing values and performs back-end processing. To simply transfer these sensing values to a medical team is a simple level's medical service. So, we've designed a new service model based on back propagation neural network for more improved medical service. Our experiments show that a proposed healthcare system can give high level's medical service because it can recognize human's context more concretely.

• Science of Emotion and Sensibility
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• v.14 no.4
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• pp.503-512
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• 2011

Recently in HCI research, emotion recognition is one of the core processes to implement emotional intelligence. There are many studies using bio signals in order to recognize human emotions, but it has been done merely for the basic emotions and very few exists for the other emotions. The purpose of present study is to confirm the difference of autonomic nervous system (ANS) response in three emotions (boredom, pain, and surprise). There were totally 217 of participants (male 96, female 121), we presented audio-visual stimulus to induce boredom and surprise, and pressure by using the sphygmomanometer for pain. During presented emotional stimuli, we measured electrodermal activity (EDA), skin temperature (SKT), electrocardiac activity (ECG) and photoplethysmography (PPG), besides; we required them to classify their present emotion and its intensity according to the emotion assessment scale. As the results of emotional stimulus evaluation, emotional stimulus which we used was shown to mean 92.5% of relevance and 5.43 of efficiency; this inferred that each emotional stimulus caused its own emotion quite effectively. When we analyzed the results of the ANS response which had been measured, we ascertained the significant difference between the baseline and emotional state on skin conductance response, SKT, heart rate, low frequency and blood volume pulse amplitude. In addition, the ANS response caused by each emotion had significant differences among the emotions. These results can probably be able to use to extend the emotion theory and develop the algorithm in recognition of three kinds of emotions (boredom, surprise, and pain) by response measurement indicators and be used to make applications for differentiating various human emotions in computer system.