This paper describe the riding robot system named by "RideBot" which is a riding robot like as a horse. In order to simulate the riding motions, we develope the saddle mechanism which can generate 3 DOF motions including pitch, roll, and bounce movement, and also we controlled the riding motions and the intention of horseman. To generate the riding motions with the bodily sensation, we developed Novel Washout Filter and the algorithms for motion control. And also, we developed some health care service for the health care of horseman. A body state index was proposed that evaluates the personal health state from both the measured physiological variables and the surveyed questions. The physiological variables such as weight, blood pressure, heart rate variability (HRV), accelerated state photoplethysmograph(APG), body fat, and happiness index were measured by the specially designed bio-handle system and survey questions. The efficiency of the proposed ride robot is evaluated in the experiments.
Using Random Sampling, the authors measured the body heights and weights of 31,151 persons - 17,102 in males and 14,049 in females from metropolitan, urban and rural areas between 6 to over 80 year old - for the purpose of investigating the type and the actual condition of the Korean's growth and development. At first, on the basis of the results, the authors measured the growth and development, various kinds of physiques, nutritional index of the 6 to 20s age group. Second, the authors presented the standard body weight of males and females by their body height, who were in the end of their growth (20-29 age group). Third, the authors calculated and presented the normal adapted body weight of the age group who were over 30 age after the growth had been completed. Forth, the author presented the obesity rate of the adults over 20 years old by body mass index. Finally, the authors compared chronological change of the Koreans' body heights and body weights with the results of other researchers. 1. Body Measurement Rapid growth, in terms of body height, which is described by a straight line on a growth curve has been observed among males in the ages 6-13 and among females 6-14. That growth curve turned out to be slower among the people of higher ages by both sexes. The cross-over occurred in both sexes at 11-14. The highest growth rate for a year is at 13-16 for males and 11-13 for females. This indicates that females enter a rapidly growing stage 2 years earlier than males. 2. Various Physiques and Nutritional Index Rapid growth, in terms of Relative Body Weight Index, which is described by a straight line, has been observed among males in the ages 6-16 and females in the ages 6-14. The cross-over occurred in both sexes 12.5-14.5 age in the adolescencent period. Whereupon females outgrow males. The Roher Index displayed more good value in case of females than male and in the adolescent period, the level of fullness is lower than after the completion of development. The Kaup Indices of both sexes increase with age. The index is less than 2.0 for males in 6-14 age group and for females in 6-13 age group and with this, it appeared that development of horizontal axis to long axis is poor. The index is more than 2.0 after 15 age group in males and 14 age group in females and developmental state4 age group and for females in 6-13 age group and with this, it appeared that development of horizontal axis to long axis is poor. The index is more than 2.0 after 15 age group in males and 14 age group in females and developmental state Body Mass Index is less than 20 for males 6-14 age group and for females in 6-13 age group. In the case of the higher age group, that index maintains a normal state.
A health index was proposed that evaluates personal health state from both measured physiological variables and survey questions. Four health indices were defined such as cardiovascular index, stress index, obesity index, and management index. The total health index was calculated by summing these four health indices. Physiological variables such as blood pressure, heart rate variability(HRV), accelerated photoplethysmograph(APG), and body fat percentage were non-invasively measured and a survey questionnaire that asks personal health state, exercise intensity, and food preference was developed. The suggested health index was applied to thirty eight persons including 30 patients and 8 normal persons with an average age of 51.8. The average health index was estimated to be 75.1 out of 100 points. Young age group(below 50) and men group showed higher health indices than the aged(over 50) and women groups. The correlation coefficient between the cardiovascular index and stress index was found to be 0.513, which means stress is related to cardiovascular health state. The correlation coefficient between the measurements and survey questions was 0.385 for the cardiovascular index. It was as low as 0.182 for the stress index. More case studies may improve correlations between measurements and survey questions, and then, the current health index system may develop as an effective tool to evaluate personal health state.
International journal of advanced smart convergence
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v.5
no.3
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pp.56-60
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2016
Body physical technique is to pursuit the dynamic motion by the physical index(PI) and sensory index(SI) on the physical body function. Function of the physical body by the motor condition is organized the dynamic physical system. For the physical motion of signal, we is defined a runout value of the body function by the physical index on the dynamic state. The concept of body physical index was identified the reference of physical index and sensory index by the body technique. As to detect a variation of the body physical technique-runout physical index(BPT-RPI) of the maximum and average and minimum in terms of physical motion, and the dynamic sensory value that was a runout function of the vision variation of the $Vi-{\xi}_{MAX-AVG-MIN}$ with $2.53{\pm}4.85$ units, that was a runout function of the vestibular variation of the $Ve-{\xi}_{MAX-AVG-MIN}$ with ($-0.69{\pm}2.32$)units, that was a runout function of the somatosensory variation of the $So-{\xi}_{MAX-AVG-MIN}$ with ($-1.43{\pm}-1.36$) units. The dynamic physical motion will be to confirm at the variable function of the runout motion for the body function values of dynamic physical index on the BPT-RPI that was identified an evaluation of the physical sensory function by the dynamic physical system. Runout body system was mentioned of a physical body situation by the mild moving and was refer a runout data of dynamic physical nervous index.
Purpose: This study was performed to investigate the correlation between mother's characteristics and obesity index, percentage of body fat, total cholesterol, and serum leptin levels in obese children. Method: Sixty two students in 4th, 5th, and 6th grades were selected from two elementary schools located in the suburbs of Seoul. Mother's characteristics were collected by questionnaires. Biophysical indexes were as follows; obesity indexes were calculated by height and weight, percentages of body fat were measured by a bioelectrical impedence fatness analyzer, total cholesterol levels were measured by a Hitachi automatic analyzer, and serum leptin levels were measured by the immunoradiometric assay method. Result: The degree of mother's concern for their children's obesity showed a statistically significant positive correlation with biophysical indexes such as obesity index and serum leptin level in obese children. However, there were no significant correlations between mother's economic state, education level, occupation and biophysical indexes. Also, there were no significant correlations between mother's concern for their children's obesity and percentage of body fat, and serum cholesterol levels. Conclusion: These results indicate that mother's concern for their children's obesity is one of the most important factors in child obesity.
The aim of this study was to investigate influence of body build on body composition, energy metabolic state and insulin concentration of blood. 29 male athletes and 36 male non-athletic students were recruited for the study. Anthropometry including chest depth and breadth, fat mass, fat fee mass, tricep skinfold thickness were measured. fasting glucose, lactate, triglyceride, fee fatty acid, and insulin concentration in serum were measured . Body build was assessed using metric index, which calculated by regression equations of Mohr and Greil. The athletic and non-athletic students were allocated to 3 body build, that is leptomorph, mesomorph, and pyknomorph. Resting metabolic rate was calculated. Respiratory quotient was determined through ratio of measured VO$_2$, and V$CO_2$. Most non-athletes have a leptomorphic body build, in contrast to athletes mesomorphic type. The body build type influenced body composition differently between non-athletic group and athletic group. Weight, body mass index, body fat mass and fat mass proportion (%), and fat-free mass increased from leptomorph to pyknormorph in non-athletic group. Pyknormorphic athletes have a significant higher body mass index, fat mass, fat free mass than other body build type. Serum glucose, triglyceride, lactate, insulin showed significant differences only in non-athletic group between leptomorph and mesomorph. RMR increased significantly from leptomorph to mesomorph in non-athletes. There was no significant difference of RQ among 3 body build types in both athletes and non-athletes. This study gives a coherent data on body build and body composition for athletes and non-athletes students. The influence of body builds on energy metabolic status of serum was different between athletes and non-athletes.
Badrin, Salziyan;Daud, Norwati;Ismail, Shaiful Bahari
Korean Journal of Family Medicine
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v.39
no.6
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pp.355-359
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2018
Background: Body image is associated with the perception of people on themselves. Influencing factors are generated internally and/or externally. The most common issue pertaining to body image is body weight and weight loss. This study aimed to determine the association between body weight perception and weight loss practices among college students. Methods: A cross-sectional study was conducted involving 297 college students from private nursing colleges in the state of Kelantan, Malaysia. A self-administered questionnaire was used to assess sociodemographic characteristics, body weight perception, and weight loss methods. Weight and height were measured, and body mass index (BMI) was calculated based on weight and height measurement. The World Health Organization BMI cutoffs were applied in the study. Results: More than half (54.2%) of college students perceived their weight correctly as per actual measured BMI. A total of 51.5% of participants had tried various methods to reduce their weight. Body weight perception is associated with weight loss practices (odds ratio, 0.31; 95% confidence interval, 0.19-0.50; P<0.001) adjusted for sex, marital status, and status of having obese family members. Those who had correct body weight perception were less likely to engage in weight loss practice. Food intake restriction (42.4%) is the most popular weight reduction method among students in nursing colleges. Over a quarter of the participants chose physical exercise (25.3%) to reduce their weight, and a small number engaged in unhealthy weight loss practices. Conclusion: Body weight perception is an important factor that influences the practice to reduce weight especially among young adult group and college students.
Heat stress exerts a substantial effect on dairy production. The temperature and humidity index (THI) is widely used to assess heat stress in dairy operations. Herein, we review the effects of high temperature and humidity on body temperature, feed intake, milk production, follicle development, estrous behavior, and pregnancy in dairy cows. Analyses of the effects of THI on dairy production have shown that body temperature is an important physiological parameter in the evaluation of the health state of dairy cows. Although THI is an important environmental index and can help to infer the degree of heat stress, it does not reflect the physiological changes experienced by dairy cows undergoing heat stress. However, the simultaneous measurement of THI and physiological indexes (e.g., body temperature) would be very useful for improving dairy production. The successful development of automatic detection techniques makes it possible to combine THI with other physiological indexes (i.e., body temperature and activity), which could help us to comprehensively evaluate heat stress in dairy cows and provide important technical support to effectively prevent heat stress.
Objectives: The purpose of this study was to investigate the effects of modified fasting therapy on the changes of body compositions. Methods: We analyzed the medical records of 33 patients, who carried out modified fasting therapy at Dunsan Korean Medicine Hospital of Daejeon University from January 1st, 2011 to December 30th, 2015. They went through reducing food intakes period (7 days), fasting period (14 days) and refeeding period (14 days). Body compositions (weight, body mass index, skeletal muscle mass, percent body fat, basal metabolic rate, waist-hip ratio, visceral fat area) were reviewed at each state. And then the data was analyzed. Results: The body composition values (weight, body mass index [BMI], skeletal muscle mass, percent body fat, basal metabolic rate, waist-hip ratio, visceral fat area) decreased during the fasting therapy period, as a whole. The weight, BMI, percent body fat and visceral fat area decreased during the reducing food intakes period, the fasting period and the refeeding period. The skeletal muscle mass and basal metabolic rate significantly decreased during the reducing food intakes period and the fasting period, and insignificantly increased during the refeeding period. Conclusions: Results from this investigation showed that modified fasting therapy using fermented herbal medicine have positive effects on changes of body compositions.
This study was carried out to know physical growth and development, physical and nutritional indices and body fat weight and so forth by semi-longitudinal research method to measure body height, body weight, chest girth and sitting height of 260 of general high school and 306 of vocational high school 3rd grade students who are living in Seoul and born from 1966 March 1st to 1967 Feb.28th. The results are as follows: 1) Physical growth and development Growth in terms of body height showed one step straight linear development, andthat of body weight showed two step straight linear development in each section in high school. The age of cross over between two sexes of general high school students was between 10.6 to 12. 3 years in body height, between 10.8 to 13 years in body weight, between 11.2 to 14.6 years in chest girth and between 10 to 13 years in sitting height. The age of cross over between two sexes of vocational high school students was between 10.5 to 12.5 years in body height, between 10.5 to 12.5 years in body weight, between 10.5 to 12.5 years in chest girth and between 10.5 to 12.5 years in sitting height. In this periods, female group was superior to male group and after that male group was superior to female group again. The growth of vocational school students was superior to that of general school students in both sexes in terms of body height and body weight significantly. 2) Physical growth and nutritional indices In all cases of relative body weight, relative chest girth and relative sitting height, it was found to be increasing thereafter with advancing ages. In cases of $R{\"{o}}hrer$ index and Kaup index, it was found to be reaching to normal state thereafter with advancing ages. In each case of Vervaeck and Pelidisi index, it was found to be increasing and reaching to normal state thereafter with advancing ages. 3) Total body fat by vital measuring method Average values of body surface area, body volume and body density are measured indirectly by using the body height and body weight as Table 12, 13 and 14. The rate of body fat weight of general high school students was from minimum $11.96{\pm}3.53%(3.33{\pm}1.10kg$) to maximum $18.25{\pm}6.46%(9.08{\pm}2.01kg$) in male and from $25.88{\pm}3.62%(7.96{\pm}0.78kg$) to $43.00{\pm}7.22%(12.91{\pm}1.21kg$) in female. The rate of body fat weight of vocational high school students was from minimum $11.20{\pm}2.88%(3.32{\pm}1.13kg$) to maximum $17.16{\pm}5.88(10.83{\pm}3.16kg$) in male and from minimum $25.11{\pm}2.26%(7.91{\pm}0.89kg$) to maximum $42.16{\pm}7.96%(13.22{\pm}1.75kg$) in female.
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