• Journal of Digital Contents Society
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• v.19 no.1
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• pp.103-112
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• 2018

In this paper, we propose a method of recognizing emotions using PPG sensor which measures blood flow according to emotion. From the existing PPG signal, we use a method of determining positive emotions and negative emotions in the frequency domain through PSD (Power Spectrum Density). Based on James R. Russell's two-dimensional prototype model, we classify emotions as joy, sadness, irritability, and calmness and examine their association with the magnitude of energy in the frequency domain. It is significant that this study used the same PPG sensor used in wearable devices to measure the top four kinds of emotions in the frequency domain through image experiments. Through the questionnaire, the accuracy, the immersion level according to the individual, the emotional change, and the biofeedback for the image were collected. The proposed method is expected to be various development such as commercial application service using PPG and mobile application prediction service by merging with context information of existing smart phone.

• Korean Journal of Clinical Pharmacy
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• v.21 no.3
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• pp.243-248
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• 2011

낙상은 노인의 건강을 위협하는 가장 심각한 문제 중의 하나이며, 조기사망, 신체손상, 운동장애, 심리학적 기능장애를 유발하는 원인이기도 하다. 본 연구의 목적은 국내 노인전문 요양병원 입원 환자들의 의약품 사용이 낙상에 미치는 영향을 평가하는데 있다. 후향적으로 원내 의무기록 정보를 이용하여 환자-대조군 연구를 수행하였고, 2008년 1월부터 2010년 12월까지 3년 기간에 입원한 65세 이상을 대상으로 하였다. 입원기간 중 낙상을 경험한 34명의 노인환자들을 환자군으로 선택하였으며 낙상을 경험하지 않은 68명의 노인환자들을 무작위 추출하여 1:2의 환자군:대조군비율로 연구 대상 환자들을 선정하였다. 환자군이 복용한 의약품을 대조군이 복용한 의약품과 비교하였으며 각 계열별 의약품과 낙상위험도 관계를 평가하였다. 두 그룹간의 인구통계학적 특성은 유사하였고 연령, 성별, 복용 의약품수, 고혈압 유무, 혈중 크레아티닌 수치, 혈중 나트륨 수치, 혈압 또는 심박수에 유의한 차이는 없었다. 항히스타민제와 본 연구에서 유일하게 기타 수면보조제로 분류된 졸피뎀이 유의하게 낙상위험도를 증가시켰다.

• Annual Conference of KIPS
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• 2017.04a
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• pp.1112-1114
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• 2017

본 논문은 감정변화와 관련이 높다고 알려져 있는 생체정보인 뇌파(EEG), 심전도(ECG), 심박변이도(HRV)를 바탕으로 사용자의 감정상태를 추론하여 치유음악을 추천해주는 시스템을 제안한다. 사용자의 생체정보를 기반으로 사용자의 감정상태를 평온, 집중, 긴장, 우울의 4가지 단계로 분류하는 감성추론 시스템을 설계하고, 각각의 감정상태에 따라 적절한 카테고리의 음악을 추천함으로써 사용자의 스트레스 정도를 완화시키고자 한다.

• 월간산업보건
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• s.90
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• pp.22-25
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• 1995

신장은 급성 혹은 만성 신장 기능부전 혹은 말기 신장질환을 야기할 수 있는 작업장내의 여러 화학물질에 폭로되어 있다. 이러한 물질들은 효과에 있어 상이하며 4개의 주요 형태로 분류할 수 있다. 중금속, 유기화합물, 살충제들, 다른 생물이물질 등, 신독성은 산업의학에서 독자적인 소견으로는 나타나지 않고 독성 폭로의 다른 전신적 증상과 함께 나타난다. 신장은 흔히 독성 물질의 공격 목표가 된다. 비교적 크기가 작음에도, 심박출량의 25%를 받아 다량의 독성 물질에 폭로된다. 이러한 기능때문에, 신장에서 삼투압 경사가 발생하여 - 주로 수질에서 - 신장은 다른 기관에서 발견되는 것보다 훨씬 높은 수준으로 독성물질을 농축한다. 신장은 소변을 신성화할 수 있기 때문에, 다른 조직에서 발견되지 않는 이온형태의 여러 용질이 발생한다. 이러한 여러 요인들로 신장이 여러 독성물질에 어떻게 영향을 받는지 설명할 수 있다.

• Journal of Life Science
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• v.13 no.1
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• pp.21-28
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• 2003

The purpose of this experiment was to compare the energy expenditure and the physiological response among two groups by percent body fat(group A: 30-35% body fat, B: 35-40% body fat) to walking and running at several equivalent speeds. Subjects in group A and B followed A group(mean$\pm$SD, age; 24.0$\pm$0.4yrs, body fat; 32.3$\pm$0.7) and B group (age; 25.2$\pm$0.7yrs, body fat; 36.7$\pm$0.9). The walking and running protocol consisted of treadmill speeds for five min at each of the following speeds: 5.0, 5.5, 6.0, 6.5, 7.0 km.$hr^{-1}$. The obtained data reveal in group A, the rate of oxygen consumption and energy expenditure was higher during walking compared to running ate treadmill speeds $\geq$ 6.6km.$hr^{-1}$. In group 5, the rate of oxygen consumption and energy expenditure was higher during walking compared to running ate treadmill speeds $\geq$ 6.8km.$hr^{-1}$. Heart rates and respiratory exchange ratio were higher at treadmill speeds $\geq$5.8 in group A and $\geq$5.5 in group B. these findings demonstrated that a difference of percent body fat in obese women have no large effect on energy efficiency of walking, but walking within speeds 6.5~7.0km/hr resulted in rates of energy expenditure that were as high or higher than jogging at the same speeds even though the relative stress was greater during walking.

• Science of Emotion and Sensibility
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• v.6 no.4
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• pp.41-49
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• 2003

To inspect how the different sensitivities in BAS(or BIS) modulate on the HRV pattern stimulated by positive or negative affective sound, we measured the electrocardiogram(ECG) of 25 students(male : 14), consisted of 4 groups depending on the BAS(or BIS) sensitivity, during listening meditation music or being exposed to noise. The power spectral density(PSD) of HRV was derived from the ECG, and the power of HRV was calculated for 3 major frequency ranges(low frequency[LF], medium frequency[MF], and high frequency[HF]). We found that the index of MF/(LF+HF), during listening music, was higher significantly in the individuals with a low BIS but high BAS than in the individuals with a low sensitivity in both BIS and BAS. Especially in the former group, there was a tendency that the index was higher during listening music than during being exposed to noise. For individuals with a high BIS, regardless of the BAS sensitivity, the difference of this index values was not significant. From these results we suggest that individuals with a low BIS but high BAS are more sensitive to positive affective stimuli than other groups, and the index of MF/(LF+HF) is applicable to evaluate positive and negative affects.

• Journal of the Korea Society of Computer and Information
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• v.29 no.3
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• pp.137-146
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• 2024

The purpose of this study was to determine the effects of 12 weeks of WB-EMS training on body composition and heart rate variability based on BMI Level in Women. The subjects of the study were premenopausal women, and they were classified into the BMI-N(n=15) group for BMI<25, the BMI-1(n=16) group for BMI=25~29.9, and the BMI-2(n=9) group for BMI>30. And then, WB-EMS training was performed of 3 times a week for 12 weeks. Body composition and HRV were measured before and after the participation in exercise, which were subjected to a repeated-measures two-way ANOVA. In the case of a significant interaction between time and group, paired sample t-tests were conducted for a post-hoc analysis within each subject group. Tukey's method was used for post-hoc testing of differences between groups, and the significance level was set at 0.5. The results were as follows; First, The effect of WB-EMS training was found in all variables of body composition. In particular, Weight, BMI, FFM, and FM decreased the most in the BMI-2 group, followed by the BMI-1 and BMI-N groups. %BF and VF decreased the most in the BMI-2 group. Second, There was a difference in BPM in all groups, and the BMI-2 group showed the greatest decrease. There were differences in SDNN and RMSSD for each group, and there was no difference according to obesity level. There was no difference in LF, HF, and LF/HF ratio. In conclusion, it was confirmed that WB-EMS training can be an exercise therapy that has a positive effect on the body composition change and cardiac circulatory system in women with a high level of obesity.

• KIISE Transactions on Computing Practices
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• v.21 no.7
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• pp.464-469
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• 2015

Long-term electrocardiogram data can be acquired by linking a Holter monitor to a mobile phone. However, most systems are designed to detect arrhythmia through heartbeat classification, and not just for supporting clinical decisions. In this paper, we propose an Abstracting algorithm, and introduce an analogous pateint search system using this algorithm. An analogous patient searcher summarizes each patient's typical pattern using the results of heartbeat, which can greatly simplify clinical activity. It helps to find patients with similar arrhythmia patterns, which can help in contributing to diagnostic clues. We have simulated these processes on data from the MIT-BIH arrhythmia database. As a result, the Abstracting algorithm provided a typical pattern to assist in reaching rapid clinical decisions for 64% of the patients. On an average, typical patterns and results generated by the abstracting algorithm summarized the results of heartbeat classification by 98.01%.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.3
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• pp.252-260
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• 2021

For frailty management, the importance of resistance exercise has been emphasized, and various devices have been developed. Recently, digital weight control technology that converts electromagnetic resistance to a digital weight is attracting attention, but there are no reports confirming the effectiveness and safety of the device for seniors in Korea. This study conducted a biomechanic-based ergonomic analysis of an elderly-friendly exercise device utilized in digital load control technology to suggest a direction for development. Twenty seniors (age: 62.40 ± 2.09 years) were included. The load of the device was classified into three levels, and the muscle activity and heart rate were assessed during three experimental motions. A questionnaire based on the International Organization for Standardization 9241-11 was adopted to evaluate the stability, operationality, efficiency, and satisfaction with the software and device. The program could be divided into three exercise intensities that can be utilized in the field depending on whether the exercise load, muscle activity, and heart rate were consistent. The monitor size needed to be enlarged to make the menu Korean, reduce the device size, and minimize noise. Considering these findings, the development of an advanced age-friendly exercise device by improving the size, display, and noise is suggested.

• Science of Emotion and Sensibility
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• v.21 no.1
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• pp.177-186
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• 2018

The mechanism of emotion is complex and influenced by a variety of factors, so that it is crucial to analyze emotion in broad and diversified perspectives. In this study, we classified neutral and negative emotions(sadness, fear, surprise) using arousal evaluation, which is one of the psychological evaluation scales, as well as physiological signals. We have not only revealed the difference between physiological signals coupled to the emotions, but also assessed how accurate these emotions can be classified by our emotional recognizer based on neural network algorithm. A total of 146 participants(mean age $20.1{\pm}4.0$, male 41%) were emotionally stimulated while their physiological signals of the electrocardiogram, blood flow, and dermal activity were recorded. In addition, the participants evaluated their psychological states on the emotional rating scale in response to the emotional stimuli. Heart rate(HR), standard deviation(SDNN), blood flow(BVP), pulse wave transmission time(PTT), skin conduction level(SCL) and skin conduction response(SCR) were calculated before and after the emotional stimulation. As a result, the difference between physiological responses was verified corresponding to the emotions, and the highest emotion classification performance of 86.9% was obtained using the combined analysis of arousal and physiological features. This study suggests that negative emotion can be categorized by psychological and physiological evaluation along with the application of machine learning algorithm, which can contribute to the science and technology of detecting human emotion.