http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
우수선수의 Bioelectrical Impedance (생체전기저항) 방법에 의한 신체구성 추정
이미숙,박기현,오재근 한국스포츠리서치 2004 한국 스포츠 리서치 Vol.15 No.1
The purpose of this study was to estimate body composition of elite players using bioelectrical impedance method (BI). The BI data acquisition system (Art Haven 9, Kyoto, Japan) was used to determine the BI of the upper and lower limbs. BI of the forearm, upper arm, lower leg, and thigh on the right and left side were determined in 50 healthy elite sport players using a specially designed BI acquisition system. The BI is a rapid, noninvasive, and relatively inexpensive method for assessing body composition in field settings. Some sophisticated methods of BI can also be utilized in laboratory settings. To use BI methods appropriately in either setting, testers need to understand the basic assumption and principles, as the potential sources of measurement error, for this method. The present study indicate that BI analysis may be useful to predict the muscle volume.
60稅 以上 老人의 日常生活關聯 運動機能의 評價 : 운동을 장기간 동안 습관화하는 노인을 중심으로 하여
이미숙,박기현,김연자 韓國體育大學校 1999 論文集 Vol.22 No.-
The purpose of present study was to investigate characteristics of functional fitness reflecting daily living in Korean active elderly. Eighty nine older people in habitually playing Badminton (age range 60 to 82 years) and physically active volunteered for this study. The functional fitness items represent body composition (ponderal index), cardiovascular endurance (800 m walk), flexibility (sit and reach), muscular strength/endurance (arm curl), coordination (soda pop), and dynamic balance/agility (agility course). To ensure measurement consistency, the same tester conducted the same measurements. The testing apparatuses were calibrated prior to all testing sessions. The results of physical characteristics and functional fitness test are expressed as mean values standard deviations. Each 6 functional fitness tasks representing activity of daily living had to demonstrate a significant correlation with age in our preliminary analyses. In order to reduce the 6 items to a single score, the correlation matrix for the 6 items was subjected to principal component analysis. The main idea of this analysis is to reduce the dimensionality of a data set, which consists of a large number of interrelated variables, while retaining as much as possible the variation present in the data set. The first principal component was used as the best single descriptor of total daily living-related physical fitness tasks. The first principal component scores were computed for each subject. In summary, data for this was considered useful in assessing functional fitness of daily living in the elderly people.