• 한국염색가공학회지
• /
• 제20권6호
• /
• pp.69-74
• /
• 2008

In this paper, a comfort evaluation system based on a product-focused process design (PFPD) has been proposed for high comforts interior seat covers. Correlations between comforts properties and physical/thermal properties of interior seat covers were examined by combining traditional regression analysis and data mining techniques. A skin sensorial comfort of leather samples was evaluated by only human tactile sensation. The adjectives of leather car seat covers are 'Soft', 'Sticky' and 'Elastic'. Thermo-physiological comfort properties of leather samples were evaluated by only human tactile sensation. The adjectives of leather car seat covers are 'Coolness to the touch' and 'Thermal and humid'. Skin sensorial comforts of cloth samples were evaluated by only human tactile sensation. The adjectives of cloth car seat covers are 'Soft', 'Smooth', 'Voluminous' and 'Elastic'. Thermo-physiological comforts of cloth samples were evaluated by only human tactile sensation. The adjectives of cloth car seat covers are 'Coolness to the touch' and 'Thermal and humid'.

• 전기학회논문지
• /
• 제56권8호
• /
• pp.1514-1520
• /
• 2007

Currently, the signal of the human body is measured with various methods, and a noninvasive investigation of various methods is useful diagnosis method. PTT(Pulse Transit Time) which is noninvasive investigation make use of to estimate the physiological phenomena. PTT has a latent information of cardiovascular system. So we have the experiments for analysis of the relations between PTT and physiological parameters. We examine to correlate to the physiological parameters, an age and degree of paralysis on the ultrasound therapy. The 40 patients who has a such paralysis join our experiment, and we obtain the PTT data that normal condition and states after ultrasound therapy. We study that PTT after the ultrasound therapy for patients who have a paralysis was related to an age and degree of paralysis.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제16권3호
• /
• pp.1076-1094
• /
• 2022

Technology for emotion recognition is an essential part of human personality analysis. To define human personality characteristics, the existing method used the survey method. However, there are many cases where communication cannot make without considering emotions. Hence, emotional recognition technology is an essential element for communication but has also been adopted in many other fields. A person's emotions are revealed in various ways, typically including facial, speech, and biometric responses. Therefore, various methods can recognize emotions, e.g., images, voice signals, and physiological signals. Physiological signals are measured with biological sensors and analyzed to identify emotions. This study employed two sensor types. First, the existing method, the binary arousal-valence method, was subdivided into four levels to classify emotions in more detail. Then, based on the current techniques classified as High/Low, the model was further subdivided into multi-levels. Finally, signal characteristics were extracted using a 1-D Convolution Neural Network (CNN) and classified sixteen feelings. Although CNN was used to learn images in 2D, sensor data in 1D was used as the input in this paper. Finally, the proposed emotional recognition system was evaluated by measuring actual sensors.

• 성인간호학회지
• /
• 제14권2호
• /
• pp.265-275
• /
• 2002

Pursose: The purpose of this study was to evaluate the selected nursing interventions and to describe the most common nursing interventions used by neurosurgery unit nurses. Method: The data was collected from 65 nurses of 5 general hospitals from Jan. 8, 2001 to Feb. 28, 2001. The instrument for this study was the Korean translation of 486 nursing intervention classifications, developed by MacClosky & Bluecheck in 2000. In the 486 nursing interventions 310 nursing interventions were selected, 8 from among the 10 professional nurses group in the neurosurgery care unit. The 310 nursing interventions were used in a secondary questionnaire. In the secondary questionnaire, all 310 intervention lables and definitions were listed. The data was analysed with SPSS program. Result: The results of this study are as follows. 1. The most frequently used nursing intervention domains were "physiological: complex", "physiological: basic", "Health system", "Behavior", "Safety", "Family". 2. Neurosurgery care unit core nursing interventions were performed several times a day by 50% or more of the Neurosurgery care unit. Neurosurgery core nursing intervention, 5 domain ("physiological: complex", "physiological: basic", "Health system", "Safety", "Behavior"), 16 class, 48 core nursing intervention. The most frequently used Neurosurgery core nursing interventions were Intravenous Therapy, Pressure ulcer prevention, Documentation, Airway suctioning, Medication: intravenous, Pain management, Medication: intramuscular, Shift report, Intravenous insertion, Positioning, Aspiration precaution, Pressure management, Physician support, Pressure ulcer care. 3. Compared with carrier and age of nurses, the more effective nursing interventions were "Family", Compared with the nursing place and the use of nursing interventions of nurses the most effective nursing interventions were "Health system" performed by nurse in university hospital. Conclusion: The purpose of this study was to analysis the nursing intervention performed by neurosurgery unit nurses. This study analyses nursing intervention and core nursing interventions performed by neurosurgery unit nurses. Basis on this study result, neurosurgery nursing interventions will be systematized, and progression of qualitative nursing, data of computerized nusing information system will be utilized.

• 대한의용생체공학회:의공학회지
• /
• 제24권5호
• /
• pp.465-471
• /
• 2003

본 논문에서는 생체신호 파라미터들을 이용해서 만성적인 스트레스를 평가하는 방법을 개발하고자 하였다. Wistar 쥐에게 14 일간의 소음 스트레스를 부과하고, 매 시간마다 생체신호를 획득하였다. 생체신호로부터 추출한 파라미터들을 통합하기 위한 퍼지추론시스템을 구축하기 위하여, 적응형 뉴로-퍼지 추론시스템으로 퍼지추론시스템의 파라미터들을 구하였다. 훈련 데이터 집합 중 입력 데이터 집합은 생체신호로부터 추출한 파라미터들을, 출력 데이터 집합은 코티솔 호르몬의 생성량으로부터 추정한 목표값을 사용하였다. 퍼지추론시스템으로 생체신호 파라미터들을 통합하고, 그 결과를 24 시간마다 구분하여 Cosinor 분석법을 적용하여 생체리듬의 변화를 관찰하였다. 생체리듬이 깨어진 정도에 의해서 만성적인 스트레스를 평가하였다. 생체신호 파라미터들을 퍼지추론으로 통합하고, 그 결과에서 생체리듬을 분석하여 스트레스 정도를 계산했다. 휴식기의 스트레스 정도를 l이라고 가정하면, 소음 스트레스를 받은지 14일째 되는 날에는 1.37. 7일간의 회복 후에는 1.47의 스트레스 정도가 나왔다. 즉, 쥐는 14일간의 소음으로 휴식 때보다 37% 증가된 스트레스를 받았고, 7일의 회복기를 통해 스트레스로부터 회복되지 않았다.

• 한국감성과학회:학술대회논문집
• /
• 한국감성과학회 1999년도 춘계학술발표논문집 논문집
• /
• pp.11-15
• /
• 1999

The discrete state theory on emotion postulated that there existed discrete emotions, such as happiness, anger, fear, disgust, and so forth. Many investigators who emphasized discreteness of emotions have suggested that discrete emotions entailed their specific activities in the autonomic nervous system. The purposes of this study were to develop a model of emotion-specific physiological response patterns. The study postulated six emotions (i.e., happiness, sadness, anger, disgust, fear, and surprise) as the basic discrete emotions. Thirty eight college students participated in the present study. Twelve slides (2 for each emotion category) were presented to the subjects in random order. During resting period of 30 s prior to the presentation of each slide, four presentation of each slide, four physiological measures (EEG, ECG, EDA, and respiration) were recorded to establish a baseline. The same physiological measures were recorded while each slide was being presented for 60 s (producing an emotional sate). Then, the subjects were asked to rate the degree of emotion induced by the slide on semantic differential scales. This procedure was repeated for every slide. Based upon the results, a model of emotion-specific physiological response patterns was developed: four emotion (fear, disgust, sadness, and anger) were classified according to the characteristics of EEG and autonomic responses. However, emotions of happiness and surprise were not distinguished by any combination of the physiological measures employed in this study, suggesting another appropriate measure should be adopted for differentiation.

• 한국약용작물학회지
• /
• 제13권5호
• /
• pp.242-248
• /
• 2005

The present study was designed to elucidate the physiological changes with age by chronic administration of red ginseng. All rats were reared in the conventional system. Ginseng treated rats were continously supplied with ginseng water extracts together water from 6 weeks of age to the age 24 months. Rats did not show any discernible signs or the rejection symptoms by red ginseng water extracts. A long-term administration of red ginseng extracts did not cause any physiological changes in the gain of body and organs weight, food intake and general properties of urine. However, red ginseng caused to decrease the level of serum cholesterol, glucose and TBARS, and it attenuated effectively the age-dependent decline of LDH activity. Other biochemical parameters measured from blood and general properties of urine were not significantly changed. These results suggest that long-term administration of red ginseng to rat does not cause any clear physiological changes in appearance and urine, and it retards age-related deteriorations in some biochemical parameters such as LDL-cholesterol, glucose and LDH in serum.

• 감성과학
• /
• 제5권1호
• /
• pp.17-24
• /
• 2002

본 연구는 객관적인 생리신호로부터 인간의 감성을 추론할 수 있는 감성평가 전문가 시스템을 개발하기 위한 첫 번째 단계로 측정된 생리신호를 이용하여 인간의 긴장도를 판단하는 알고리즘의 개발을 목표로 한다. 감성평가와 관련된 애매함을 수리적으로 취급하기 위해 퍼지이론을 적용하여 임의의 감성영역에 속하는 정도를 소속함수로 정량화함으로써 감성평가를 가능하게 하고자 하였다. 소속함수의 결정은 상상을 통해 유발된 긴장/이완의 생리신호 데이터베이스 결과를 사용하였다. 그리고 두 가지 이상의 생리신호 측정결과와 각 생리신호의 소속함수로부터 하나의 최종결과(긴장도)를 유추하기 위해서 Dempster-Shafer증거합 법칙을 적용하였고, 이를 통해 최종적인 긴장도를 도출할 수 있도록 하였다.

• ETRI Journal
• /
• 제45권1호
• /
• pp.105-118
• /
• 2023

We tested the feasibility of automated discrimination of patients with panic disorder (PD) from healthy controls (HCs) based on multimodal physiological responses using machine learning. Electrocardiogram (ECG), electrodermal activity (EDA), respiration (RESP), and peripheral temperature (PT) of the participants were measured during three experimental phases: rest, stress, and recovery. Eleven physiological features were extracted from each phase and used as input data. Logistic regression (LoR), k-nearest neighbor (KNN), support vector machine (SVM), random forest (RF), and multilayer perceptron (MLP) algorithms were implemented with nested cross-validation. Linear regression analysis showed that ECG and PT features obtained in the stress and recovery phases were significant predictors of PD. We achieved the highest accuracy (75.61%) with MLP using all 33 features. With the exception of MLP, applying the significant predictors led to a higher accuracy than using 24 ECG features. These results suggest that combining multimodal physiological signals measured during various states of autonomic arousal has the potential to differentiate patients with PD from HCs.

• 조명전기설비학회논문지
• /
• 제30권3호
• /
• pp.9-20
• /
• 2016

This study compared the effect of green light consequent on maximum brightness 85 lx and intial brightness 15 lx, and its accompanying psychological, physiological response. 1) As a result of psychology(general stress evaluation, Symptom Checklist-90-Revision) evaluation, all stress evaluation items mostly showed a decrease, and they are comparatively positively evaluated in minimum brightness 15 lx comparing to maximum brightness 85 lx. 2) Physiological (Heart Rate Variability) evaluation result was included in stable range in all cardiovascular system variables after light stimulus in time of comparison with the standard range; in addition, the Heart Rate Variability evaluation result was found to be stable in all cardiovascular system variables except Low Frequency in minimum brightness 15 lx comparing to maximum brightness 85 lx. 3) Green light was found not to appear as a stimulating factor in the human body in time of space projection, being found to be effective in stability of mind and body, and reduction in stress. Thus, it was found that green light functioned as an emotional, relaxing tranquilizer by working on the sympathetic nervous system.