题名

市售穿戴式裝置估計輕度至費力運動強度的效果與閾值

并列篇名

The effect of commercially available wearable device estimates the threshold of light to vigorous exercise intensity

DOI

10.3966/102472972018035101003

作者

江宗麟(Tsung-Lin Chiang)；陳著(Chu Chen)；李湘庭(Hsiang-Ting Li)；吳慧君(Huey-June Wu)

关键词

三軸加速規 ； 加速度計數值 ； 保留心跳率 ； three-axis accelerometer ； acceleration value ； heart rate reserve

期刊名称

體育學報

卷期/出版年月

51卷1期（2018 / 03 / 01）

页次

25 - 36

内容语文

繁體中文
中文摘要

緒論：先前研究發現以加速度估計運動強度的效果尤佳。因技術發展突破，加速規已普遍內建於穿戴式裝置中，但其效益是否與過去研究一致，仍有待釐清。因此，本研究探討以市售穿戴式裝置作為監測儀器的可行性，並由運動加速度數值量化不同強度的閾值。方法：預備性實驗以9名體育系健康大學生，先行檢定裝置的信度與效度。正式實驗招募18名體育系健康大學生(平均年齡20.89 ± 0.83 歲、身高172.13 ± 5.17公分、體重70.93 ±12.14公斤、最大心跳率192.38 ± 0.58次/分鐘)。全部研究對象須先進行5分鐘坐姿安靜心跳率測量，隨後進行漸增負荷連續運動，速度階段分別訂為走路運動3.2、4.0、4.8、5.6公里/小時，跑步運動6.4、9.6、11.3、12.9 公里/小時，每階段測驗時間為5分鐘。全程記錄X、Y、Z軸加速度與心跳率。將所得三軸加速度值依（方程式略）轉換為每分鐘加速度計數值，再以最後一分鐘穩定加速度計數值與保留心跳率百分比進行分析。資料處理以皮爾森積差相關與接受者操作特徵曲線進行分析，統計水準訂為α= .05。結果：儀器信度與效度檢定結果，分別為效標關聯效度ICC = .89～.99, p ＜ .05，再測信度ICC = .58～.98，p ＜ .05。然而每分鐘加速度計數值與保留心跳率的相關程度為r = .69，p ＜ .05。不同運動強度的每分鐘加速度計數值閾值最佳切點，分別為輕度31,149 counts/min、中度32,451 counts/min、費力34,819 counts/min。結論：市售穿戴式裝置能作為有效且穩定的監測儀器，並降低取得三軸加速度參數的費用與技術門檻。定義輕度至費力運動強度的加速度計數值，可提供簡便、有效且長時間量化日常生活身體活動與運動強度的評估工具。
英文摘要

Purpose: Previous studies have reported an excellent effect of estimating exercise intensity by acceleration. Due to the breakthrough of technology, accelerometer is commonly included by the wearable devices in nowadays. Does the effectiveness still consistent with previous studies? Further clarification is needed. The aim was to explore the feasibility of a commercially available wearable devices serve as a monitoring instruments. And quantified the thresholds of different exercise intensities by motion accelerations. Methods: The preliminary experiment recruited 9 healthy college students from the department of physical education in which to test the reliability and validity of the devices. Formal experiments recruited 18 healthy males of college students from the department of physical education (age: 20.89 ± 0.83 years, height: 172.13 ± 5.17 cm, weight: 70.93 ± 12.14 kg; HR_(max): 192.38 ± 0.58 beats/min). Subjects performed the 5 mins seated resting heart rates measurement at the beginning of the formal experiments and followed by incremental continuous exercise. The speeds of continuous exercise phase were set at 3.2, 4.0, 4.8, 5.6 km/h in walking, 6.4, 9.6, 11.3, 12.9 km/h in running. Each phase lasts for 5 mins. The X, Y, Z axes accelerations and heart rates were recorded during entire experiment. The acceleration counts per min (ACC counts / min) were converted by triaxial acceleration values by (The equation is abbreviated). The analyzing data were derived from the last minute's (4-5 min) steady-state %HRR and ACC of each speed phase. Data were analyzed by Pearson's r coefficient and ROC curves. Significant level was set at α = .05. Results: The reliability and validity of the device criterion-related validity were ICC = .89 - .99, p＜.05 and test-retest reliability coefficient were ICC = .58 - .98, p＜.05, respectively. However, the correlation between ACC and %HRR was r = .69, p ＜.05. The best ACC cut-off point of different exercise intensities thresholds were light 31,149 counts/min, moderate 32,451 counts/min, vigorous 34,819 counts/min, respectively. Conclusions: The commercially available wearable device could be served as an effective and stable monitoring instrument. Reducing the cost and the technical access level for obtaining three-axis acceleration parameters. The definitions of light to vigorous exercise ACC provides an easy and effective quantifying tool for the evaluation of physical activity and long-term exercise intensity in daily life.
主题分类 社會科學 > 體育學
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被引用次数
  1. 陳柏青,陳宏銘,林麗娟(2021)。以科技接受模式探討高爾夫運動之穿戴式裝置應用。成大體育學刊，53(2)，1-25。
  2. 陳家祥、相子元、李尹鑫(2018)。自行車訓練監控指標。運動表現期刊，5(1)，19-25。
  3. 陳韋翰,相子元,方麒堯(2021)。運動軌跡追蹤系統之發展與回顧。中華體育季刊，35(2)，125-136。
  4. 陳羿揚,莎麗娃,邱文信(2020)。三軸加速規用於評估身體活動量的方法與應用。華人運動生物力學期刊，17(1)，45-53。
  5. 陳著,徐志翔,林育槿,吳慧君,江宗麟(2019)。肥胖年輕成人累積每日步數策略是否符合當前身體活動指引？。體育學報，52(2)，157-169。
  6. 黃冠勛、張恩崇、相子元、林昀昀(2018)。穿戴式科技應用於大專甲組女子排球選手比賽與訓練之監控。華人運動生物力學期刊，15(1)，30-36。
  7. 嚴笠哲、陳家祥、相子元、李尹鑫(2018)。自行車踩踏功率的應用與發展。體育學報，51(2)，145-154。
  8. (2024)。穿戴式裝置估計肥胖成人坐式行為與不同身體活動強度的手腕加速度閾值。大專體育學刊，26(1)，55-72。
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