• Journal of Korean Academy of Nursing
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• v.36 no.1
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• pp.64-73
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• 2006

Purpose: This study was done to investigate correlations between compliance and physiological parameters of hemodialysis patients. Method: The subjects were 102 patients on hemodialysis at 3 hospitals in B city. Data was collected using Shon(l986)'s questionnaire and measuring physiological parameters (serum urea nitrogen, creatinine, hemoglobin, albumin, potassium, phosphorus, interdialytic weight gain). Result: Mean scores of compliance with the therapeutic regimen was $4.00\pm$ 0.55 on a 5 point scale. The area of visiting hospitals and taking medicines . were shown to have high compliance with therapeutic regimens; on the other hand, the areas concerning diet and symptoms were shown to be low. Interdialytic weight gain and phosphorus were significantly related to the compliance with therapeutic regimens. Conclusion: Hemodialysis patients' therapeutic compliance was related to the physiological parameters(potassium, phosphorus, interdialytic weight gain). Therefore, these findings give hemodialysis patients useful information for raising their therapeutic compliance.

• Journal of Ecology and Environment
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• v.40 no.3
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• pp.136-143
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• 2016

Background: Mussels are stubborn organisms attached to solid substrata by means of byssus threads. The abundance of marine mussel Mytilus edulis in marine facilities like power stations was reason to select among fouling animals. Methods: Mortality patterns as well as physiological behavior (oxygen consumption, foot activity, and byssus thread production) of two different size groups (14- and 25-mm shell length) of M. edulis were studied at different hydrogen peroxide concentrations ($1-4mg\;l^{-1}$). Results: Studied mussels showed progressive reduction in physiological activities as the hydrogen peroxide concentration increased. Mussel mortality was tested in 30 days exposure, and 14 mm mussels reached the highest percentage of 90% while 25 mm mussels reached 81%. Produced data was echoed by Chick-Watson model extracted equation. Conclusions: This study points that, while it could affect the mussel mortality moderately in its low concentrations, hydrogen peroxide has a strong influence on mussels' physiological activities related to colonization. Therefore, hydrogen peroxide can be an alternative for preventing mussel colonization on facilities of marine environment.

• Fisheries and Aquatic Sciences
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• v.12 no.4
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• pp.331-338
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• 2009

This study presents physiological rates of respiration and excretion, clearance rate, and assimilation efficiency of the ark shell Scapharca broughtonii, determined during 2007 from specimens collected in Gamak Bay on the south coast of Korea. Physiological parameters were measured monthly under static, laboratory controlled conditions with ambient conditions, and measurements were performed seasonally in order to estimate scope for growth and its probable sources of variation. Temperature directly influenced respiration and excretion. Clearance rates showed a tendency to be low during May-August, which is a period of gametogenesis. Assimilation efficiency was not significantly different seasonally and was independent of the concentration of chlorophyll a. The scope for growth was negative during high-temperature months (July-August), reflecting the high temperature and low clearance rate, and had its highest positive values during spring and autumn. The energy budget or growth potential of bivalves has been applied to other economically important species. Data on the physiological parameters and scope for growth of S. broughtonii obtained in this study will be used to assess the carrying capacity for ark shell cultivation.

• Research in Community and Public Health Nursing
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• v.17 no.4
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• pp.451-460
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• 2006

Purpose: The purpose of this research was to examine the effects of an exercise program on the physical, physiological, and emotional status of the aged. Method: This research adopted a nonequivalent control group pretest-posttest design. The subjects were 46 elders aged over 60 who were selected from those registered at three local health centers in G City, and 27 of them were assigned to the experimental group and 19 to the control group. The independent variable was the exercise program, and the dependent variables were physical status, physiological status, and emotional status. The exercise program was Performed for 60 minutes per time, 3 times a week and for 6 weeks. Data were collected from October to November, 2005. Result: Compared to the control group, the experimental group showed significant improvements in right lower extremity strength (F=46.119, p=.000), left lower extremity strength (F=53.265, p=.000) and waist flexibility (t=3.183, p=.003) as physical status, and in depression (t=-3.703, p=.001), perceived health status (t=4.821, p=.000), and self efficacy (t=3.866, p=.000) as emotional status. Conclusion: The results showed that the exercise program was effective in promoting the physical status, physiological status, and emotional status of the aged. Therefore, it is recommended to apply the program as a nursing intervention in clinical practice and education in communities.

• Journal of Advanced Marine Engineering and Technology
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• v.31 no.5
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• pp.622-629
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• 2007

Some worker is occupationally exposed to cold and freezing environment. The cold stimuli in the working environment impose physiological and psychological loads on workers to decrease the task performance. The purpose of this study is to investigate the cold stimuli of cold and freezing stores widely used in Busan can make an effect on human's physiological responses and task performance, experimentally and analytically. In the experiment, 5 workers are selected as subjects, and then their skin temperatures of hand and ear, heart rates, blood pressure, and ring test performances in cold($3^{\circ}C$) and freezing($-22^{\circ}C$) stores were measured for 21 minutes and analyzed by using statistical method. It is observed that a physiological variation and the task performance are significantly influenced by an exposure time as well as a strength of cold stimuli. Also, it is suggested the exposure limiting times for the useful manual work and the performance predict model of the ring tasks. The result of this study will be useful for a fundamental data of which design the standard task time of manual tasks and solve the job placement problem of worker selection and placement in cold environment.

• Journal of muscle and joint health
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• v.16 no.2
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• pp.116-124
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• 2009

Purpose: The purpose of this study was to examine the effects of a Tai Chi exercise program on physical function and physiological variables in patients with degenerative arthritis. Methods: The study utilized a nonequivalent control group with pretest-posttest design. Data collection was done with the elders from two welfare institutions in C-city between July I and September 22, 2007. The participants were assigned either to an experimental group (n=24) or to a control group (n=22). The experimental group participated in Tai Chi exercise for 60 minutes per session, twice a week for 12 weeks and the control group received the education about arthritis for 3 weeks. Results: Except for $VO_2max$, weight, and body fat rate, the elders in the experimental group showed significant improvement in physical function (grip strength, flexibility, balance), and physiological variables (BP) compared to the control group. Conclusion: The results suggest that Tai Chi exercise would partially improve physical function, and physiological variables. Further studies are needed to determine the effects on physical fitness and physiological variables after Tai Chi exercise in this population.

• ETRI Journal
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• v.45 no.1
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• pp.105-118
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• 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.

• Korean Journal of Adult Nursing
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• v.14 no.2
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• pp.265-275
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• 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.

• Healthcare Informatics Research
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• v.24 no.4
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• pp.309-316
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• 2018

Objectives: Both the valence and arousal components of affect are important considerations when managing mental healthcare because they are associated with affective and physiological responses. Research on arousal and valence analysis, which uses images, texts, and physiological signals that employ deep learning, is actively underway; research investigating how to improve the recognition rate is needed. The goal of this research was to design a deep learning framework and model to classify arousal and valence, indicating positive and negative degrees of emotion as high or low. Methods: The proposed arousal and valence classification model to analyze the affective state was tested using data from 40 channels provided by a dataset for emotion analysis using electrocardiography (EEG), physiological, and video signals (the DEAP dataset). Experiments were based on 10 selected featured central and peripheral nervous system data points, using long short-term memory (LSTM) as a deep learning method. Results: The arousal and valence were classified and visualized on a two-dimensional coordinate plane. Profiles were designed depending on the number of hidden layers, nodes, and hyperparameters according to the error rate. The experimental results show an arousal and valence classification model accuracy of 74.65 and 78%, respectively. The proposed model performed better than previous other models. Conclusions: The proposed model appears to be effective in analyzing arousal and valence; specifically, it is expected that affective analysis using physiological signals based on LSTM will be possible without manual feature extraction. In a future study, the classification model will be adopted in mental healthcare management systems.

• ETRI Journal
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• v.44 no.3
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• pp.426-437
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• 2022

To understand the multilateral characteristics of human behavior and physiological markers related to physical, emotional, and environmental states, extensive lifelog data collection in a real-world environment is essential. Here, we propose a data collection method using multimodal mobile sensing and present a long-term dataset from 22 subjects and 616 days of experimental sessions. The dataset contains over 10 000 hours of data, including physiological, data such as photoplethysmography, electrodermal activity, and skin temperature in addition to the multivariate behavioral data. Furthermore, it consists of 10 372 user labels with emotional states and 590 days of sleep quality data. To demonstrate feasibility, human activity recognition was applied on the sensor data using a convolutional neural network-based deep learning model with 92.78% recognition accuracy. From the activity recognition result, we extracted the daily behavior pattern and discovered five representative models by applying spectral clustering. This demonstrates that the dataset contributed toward understanding human behavior using multimodal data accumulated throughout daily lives under natural conditions.