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題名 | Implementation of Whole Body Scanner for Determining Somatotype Index at Chang Gung Memorial Hospital=長庚紀念醫院全身掃描設備的研發與體型指標研究 |
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作 者 | 劉祖華; 邱文科; 林仁德; 游志雲; | 書刊名 | 長庚醫學 |
卷期 | 24:11 2001.11[民90.11] |
頁次 | 頁697-707 |
分類號 | 415.1 |
關鍵詞 | 人體計測; 體型指標; 全身掃描儀; 三次元掃描; Anthropometry; Somatotype index; Whole body scanner; 3D scanning; |
語文 | 英文(English) |
中文摘要 | 背景:身體質量指數(BMI)與腰臀比(WHR)使用一維人體相關量測數值加以運算,所獲得之指標已經納入專業健康體檢量測項目中,作為健康風險之評估。體表的三度空間座標點與三角格網資料,透過程式介面可計算人體的圍度、寬度、厚度、剖面積、體積與表面積等人體資訊。 方法:長庚健診中心的人體掃描系統可以取得全身體表的三度空間資料。體型資料可分為頭、胸、腰、臀、上臂、前臂、手、大腿、小腿、足等區塊,人體計測分5大項32小項,包括:12個圍度、3個寬度、3個切面、7個表面積、與7個體積。本研究中1,323位健診受檢者之體型指標,乃由體型資料所計算得出,並使用相關分析瞭解身體質量指數、腰臀比、體型指標與體型資料的相關情形;以變異數分析與Duncan’s多重比較方法,說明不同性別與體型指標的組別,其體型資料的差異現象。 結果:本研究運用這些人體膚表資料將受檢者分為四類體型,新發現的體型指標與人體計測值的相關高於腰臀比或身體質量指數。644位男性受檢者中:瘦弱有155位、稍健壯有232位、健壯有136位、肥胖有121位;679位女性受檢者中:瘦弱有160位、稍健壯有235位、健壯有168位、肥胖有116位。 結論:使用三次元人體膚表資料所建立的體型指標,能客觀且精確地完成體型分類。 |
英文摘要 | Background: Body mass index (BMI) and waist-hip ratio (WHR) using 1-dimensional circumference data have been proven to be highly related to blood pressure and total cholesterol; these 2 indices have been widely used as health indicators in preventive diagnosis and health examination. Sophisticated software, which allows calculation of the triangular mesh related to the body surface in 3D space, is capable of computing the circumference, width, sectional surface, volume, and surface area of the body. Methods: Chang Gung Whole Body Scanner (CGWBS) was used to capture 3D whole body surface images. In this study, the human body was divided into 10 segments consisting of the head, breast, wrist, hip, upper arm, forearm, hand, thigh, calf, and foot. Five independent assessments were made on a total of 32 anthropometric sites, including 12 circumferences, 3 widths, 3 profile areas, 7 surface areas, and 7 volumes. In this study, the somatotype index (SI) was computed through anthropometric data after 1,323 subjects were investigated. Correlation analysis was used to describe the relationship between BMI, WHR, SI, and anthropometric data. One-way analysis of variance (ANOVA) and Duncan’s multiple range tests were used to examine differences between examination variables across sex and SI groups. Results: This study found 4 somatotypes from anthropometric data. SI determined by CGWBS has better correlation with anthropometry than WHR or BMI. Of the 644 male subjects, 155 were in the ectomorph group, 232 the semimesomorph group, 136 in the full-mesomorph group, and 121 in the endomorph group. Of the 679 female subjects, 160 were in the ectomorph group, 235 in the semi-mesomorph group, 168 in the full-mesomorph group, and 116 in the endomorph group. Conclusion: The results show that SI has great potential to perform precise somatotype classification. |
本系統之摘要資訊系依該期刊論文摘要之資訊為主。