• The Korean Journal of Applied Statistics
• /
• 제29권6호
• /
• pp.1129-1145
• /
• 2016

Functional neuro-connectivity is one of the main issues in brain science in the sense that it is closely related to neurodynamics in the brain. In the paper, we choose fMRI as a main form of response data to brain activity due to its high resolution. We review methods for analyzing functional neuro-connectivity assuming that measurements are made on physiological responses to neuron activation. This means that we deal with a state-space and measurement model, where the state-space model is assumed to represent neurodynamics. Analysis methods and their interpretation should vary subject to what was measured. We included analysis results of real fMRI data by applying a high-dimensional autoregressive model, which indicated that different neurodynamics were required for solving different types of geometric problems.

• The Korean Journal of Physiology
• /
• 제3권1호
• /
• pp.29-32
• /
• 1969

Skinfold thickness measurement and total body fat calculation were made in summer (July) and winter (December or January) On 70 medical students (age: 20 yr),8 national team basketball players (age: 20 yr), and 9 middle-age men. Skinfold thickness measurements were made on 4 sites, namely, back, arm, waist and abdomen. The mean skinfold thickness (mm) of the 4 sites was substituted into the following formulae. For adult of 20 years old: % Fat=0.911x+8.1, and for middle-aged men % Fat=1.199x+1.41. In young medical students and ball players body weight decreased, mean skinfold thickness increased in winter season. As a result total body fat .(% body weight) increased in winter In middle-aged men both body weight and mean skinfold thickness increased in winter and resulted in an increase in the total body fat. The detailed data are as follows: 1. In medical students summer: winter values were: body weight, 59.7 :58.9 kg; mean skinfold thickness, 7.85 : 8.12 mm; and total body fat, 15.0 : 15.5% body weight (P<.30). 2. In national team basketball players summer: winter values were: body weight, 73.5 : 69.1 kg; mean skinfold thickness, 7.2 : 7.5 mm; total body fat, 11.6 : 12.1% (P:NS). 3. In middle-aged men summer vs winter values were: body weight, 61.5 : 63.0 kg; mean skinfold thickness, 10.3 : 11.8 mm; total body fat, 17.2 : 18.0% (P:NS). 4. Skinfold thickness on back showed no seasonal variation and on abdomen the thickness increased in winter. 5. It was concluded that the predominant factor in increasing total body fat in winter is the decrease in body exercise in the winter time.

• Journal of Animal Science and Technology
• /
• 제55권6호
• /
• pp.489-500
• /
• 2013

Daily milk yields on test days were estimated using morning or afternoon partial milk yields collected by official agencies and the accuracy of the estimates was determined. Test-day data for milk yields consisted of 3,156,734 records of AM/PM partial milking measurements of 255,437 milking Holstein cows from 3,708 farms collected from December 2008 to April 2013. A linear regression model (LRM) was applied to estimate daily milk yields using alternate AM/PM milk yield records within lactation stages, milking intervals, and parities on every daily milk yield. The alternate statistical approach was a non-linear hierarchical model (NHM) in which Brody's growth function was implemented by reflecting an animal's physiological milk production cycle. When compared with LRM, daily milk yields predicted by the NHM were assumed to be functionally related to day in milk (or lactation) stage, milking intervals, and partial milk yields. Since the results were in terms of accuracies based on comparisons of different statistical models, accuracies of estimates of daily milk yields by NHM were close to those determined by the LRM. The average of these accuracies was 0.94 for AM partial milk yields and 0.93 for PM partial milk yields for first calving cows. However, the accuracies of AM/PM milk yield estimations from cows under a calving stage higher than the first parity were 0.96 and 0.95, respectively. Correlations between the estimated daily milk yields and the actual daily milk yields ranged from 0.96~0.98. These accuracies were lower for unbalanced AM/PM milking intervals and the first calving cows. Overall, prediction of daily milk yields by NHM would be more appropriate than by LRM due to its flexibility under different milk yield-related circumstances, which provides an idea of the functional relationship between milking intervals and days in milk with daily milk yields from statistical viewpoints.

• Archives of Plastic Surgery
• /
• 제41권4호
• /
• pp.403-406
• /
• 2014

Background Perforations in the nasal septum (NSP) give rise not only to disintegration of the septum anatomy but also impairment in normal nasal physiology. The successes of these surgical techniques are usually equated to anatomical closure of the perforation. The goal of this study is to evaluate the subjective and objective results of our surgical technique for septal perforation surgery. Methods All NSPs in the six patients were closed by inferior turbinate flap. The Nasal Obstruction Symptom Evaluation (NOSE) instrument was used to evaluate the preoperative and postoperative subjective sensation of nasal obstruction. Measurement of preoperative and postoperative nasal airway resistance was performed using active anterior rhinomanometry which is an objective test. Wilcoxson signed rank test and Spearman correlation test were used to analyze correlation between NOSE scores and rhinomanometric measurements. Results The full closure of the septal perforations was noted in 100% of patients. The total NOSE score was 14 preoperatively and one postoperatively. The improvement in NOSE scores was statistically significant ($P{\leq}0.002$). The mean preoperative total resistance (ResT150) value was $0.13Pa/cm^3s^{-1}$, which is below the normal range ($0.16-0.31Pa/cm^3s^{-1}$), while the mean postoperative ResT150 value was $0.27Pa/cm^3s^{-1}$. The correlation between the improvement in NOSE scores and improvements in ResT150 values was statistically significant. Conclusions Surgical approaches should aim to solve both the anatomical and physiological problems of NSP. The application of subjective and objective tests in the postoperative period will help surgeons assess the applied techniques.

• Korean Journal of Acupuncture
• /
• 제21권2호
• /
• pp.1-28
• /
• 2004

Objectives : Human physiological changes in the state of qigong has been measured using EEG(Electroencephalography), functional MRI(functional Magnetic Resonance Image), EAV(Electro-Acupuncture according to Voll) and SQUID(Superconducting Quantum Interference Device) measurements. Methods & Results : EEGs were measured to study the differences between Qigong masters and Qi receiver on the changes of EEG. During Qigong, an alpha waves were increased. The power spectra indicate that the peak frequency of alpha waves increased during Qigong. Qi receiver's EEG signals seemed to affected by the state of himself. Brain activation did not observed when qigong master concentrates the Qi at Laogong(P8). But a localization of fMRI signal in the sensory cortex was observed by electric acupuncture stimulation at Laogong(P8). Five phase deviation of EAV were clearly changed in the both cases of Qigong master and Qi receiver. When a Qigong master concentrates the Qi at Yintang, Laogong(P8), Qihai(CV6) meridian points during Qigong state, the change of magnetic field around acupoints Yintang, Laogong points has been measured using 40-Channel DROS-SQUID apparatus. After smoothing process of the continuously measured magnetic signal around acupoints for a few minutes, we could observe that a series of peaks, magnitude of -1.0~2.5pT appeared. But there was no significant difference in changes of magnetic signal around acupoints. Physical signals of magnetocardiogram has been measured by using 2-Channel DROS SQUID(Magnetocardiogram). Physical signals of magnetocardiogram were clealy changed at the ST segments after S-wave when qigong master concentrates the Qi.

• Journal of Periodontal and Implant Science
• /
• 제43권2호
• /
• pp.96-100
• /
• 2013

Purpose: Chronic periodontitis (CP) seems to be associated with stress and depression, but little information on this possible association is available in the literature. Thus, the objective of this study was to evaluate the association among stress, the salivary cortisol level (SCL), and CP. Methods: Seventy systemically healthy subjects were included in the study from January to September 2011. Full medical and dental histories were obtained, and the following measurements were recorded: 1) probing depth; 2) clinical attachment level; 3) bleeding on probing; and 4) tooth mobility. Saliva samples were collected for the evaluation of SCL (via a highly sensitive electrochemiluminescence immunoassay), and all subjects also answered a questionnaire (i.e., the Zung Self-rating Depression Scale). The odds ratio (OR) with a 95% confidence interval (CI) was calculated, and one way analysis of variance and the Tukey-Kramer method were performed. Results: A total of 36 subjects with CP (51.4%) and 34 without CP were evaluated. Of them, all of the subjects with CP and one periodontally healthy subject were diagnosed with depression. Subjects with moderate CP had statistically significantly higher levels of SCL than subjects with a diagnosis of slight CP (P=0.006). Also, subjects with severe CP showed the same outcome when compared to those with slight CP (P=0.012). In addition, 46 subjects presented high SCL whereas 24 had a normal level. CP was found to be correlated with the SCL, with an OR of 4.14 (95% CI, 1.43 to 12.01). Conclusions: Subjects with a high SCL and depression may show an increased risk for CP.

• The Journal of Korean Medicine
• /
• 제26권1호
• /
• pp.123-133
• /
• 2005

Objective : We investigated the sasang constitutional difference of physiological and psychological response in various thermal environmental conditions. Methods: Among 210 volunteers, 30 healthy subjects were selected through the QSCC II (a questionnaire for constitutional discrimination) and the manual examination of a specialist in sasang constitution. Subjects consisted of 10 each Soyang(少陽), Soeum(少陰), and Taeum(太陽). Experimental environments were set by six different conditions to be $23^{\circ}C,\;50\%\;RH,\;0.lm/s;\;25^{\circ}C,\;25\%\;RH,\;0.lm/s;\;25^{\circ}C,\;50\%\;RH,\;0.lm/s;\;25^{\circ}C,\;50\%\;RH,\;0.4m/s;\;25^{\circ}C,\;75\%\;RH,\;0.1m/s;\;and\;27^{\circ}C,\;50\%\;RH,\;0.1m\s$ (respectively temperature, relative humidity, and wind velocity). Skin temperature, core temperature, heart rate variability (HRV), and galvanic skin response (GSR) were measured for each subject Additionally, subjects were asked about comfort through the questionnaire. Results: From the viewpoint of external temperature sensibility, in all experimental environments, generally the Taeum type feels hotter and the Soeum feels colder than other types. In relative comfort, Soeum types were most sensitive to wind velocity change. From the viewpoint of body temperature, Taeum type was lower and Soyang was higher than other types. The measurements of HRV and GSR showed no difference between the types. Conclusion : The four sasang constitution types showed different responses to various thermal environmental conditions. Accordingly, our research could provide basic data for building the optimal thermal conditions for individuals based on sasang constitution. Consequently, it will help to build a healthy environment for everyday life.

• Journal of Digital Convergence
• /
• 제18권8호
• /
• pp.231-242
• /
• 2020

The thesis presents a system that continuously collects the human body's physiological vital information at rest with sensors and ICT information technology and predicts diabetes using the collected information. it shows the artificial neural network machine learning method and essential basic variable values. The study method analyzed the correlation between heart rate measurements of BCG and ECG sensors in 20 DM- and 15 DM+ subjects. Artificial Neural Network (ANN) machine learning program was used to predictability of diabetes. The input variables are time domain information of HRV, heart rate, heart rate variability, respiration rate, stroke volume, minimum blood pressure, highest blood pressure, age, and sex. ANN machine learning prediction accuracy is 99.53%. Thesis needs continuous research such as diabetic prediction model by BMI information, predicting cardiac dysfunction, and sleep disorder analysis model using ANN machine learning.

• Korean Journal of Rural Living Science
• /
• 제9권1호
• /
• pp.1-7
• /
• 1998

The purpose of this study is to investigate the effect of wearing sweat suit on sweating rate during jogging. 4 healthy female students served as subjects in the experimental chamber which was controlled 22$\pm$1$^{\circ}C$, 60$\pm$10%RH and no wind. The experimental clothes were Sweat Suit (SS) and General Suit (GE), SS was the product of R sports wear company which was consisted of long-sleeved jumper (100% polyester) and full length trousers (100% polyester) and GE were consisted of long sleeved shirt (100% cotton) and full length trousers (100% cotton). The subject wore same socks and shoes in both experimental clothes SS and GE. The subject reported at the experimental chamber at the same time on each experimental day. exchanged their clothes to the experimental clothes SS or GE, wore all sensors for the physiological measurements and had a rest in a sitting posture about 40 minutes. After rest, the subject carried out 30 min jogging on the tread mill with the speed 3.6miles/hour and during the jogging rectal temperature, skin temperatures (7 sites of the skin surface), heart rate, VO2, and evaporative weight loss were measured continuously and compared between two experimental clothes SS and GE. The major findings were as follows : The increase in rectal temperature during 30 min jogging was higher in experimental clothes SS than in GE and mean slim temperature kept higher in SS than in GE. VO2 and heart rate were a little bit higher in the later period of jogging in SS than in GE. The evaporative weight loss was greater in SS than in GE. These results indicate that the thermophysiological responses and sweating rate differs according to the wearing suit even though the subject performed same exercise.

• The Korean Journal of Community Living Science
• /
• 제22권3호
• /
• pp.485-491
• /
• 2011

This study was to present the preferred and the suggested indoor temperature of college students in winter based on their body composition. A total of 14 subjects(6 males and 8 females) participated in this study. They sat in a climatic chamber controlled at $24^{\circ}C$ wearing experimental garments(0.7clo). The air temperature decreased $1^{\circ}C$ every 15 minutes until it reached $19^{\circ}C$. After the stepwise temperature change, subjects were asked to select a comfortable air temperature by dialing the temperature control switch inside the chamber. The preferred temperature was determined when subjects did not change the air temperature for 10 minutes. The measurements were oxygen consumption, rectal temperature, skin temperature, and subjective sensation. Main results are as follows. In a mild cold condition, females demonstrated lower oxygen consumption and mean skin temperature than males while keeping a constant rectal temperature. Females increased rectal temperature and decreased mean skin temperature greater than males from $24^{\circ}C$ to $19^{\circ}C$. Males showed larger oxygen consumption increase than females. It appears that the thermo-physiological responses in a mild cold condition might be different between males and females. The preferred winter indoor temperature was $22.3^{\circ}C$ for males and $23.4^{\circ}C$ for females, and the suggested temperature was $21^{\circ}C$ for males and $23^{\circ}C$ for females.