簡易檢索 / 詳目顯示

研究生: 姜俊瑋
Chiang, Chun-Wei
論文名稱: 比較加速度強度指標間在不同運動下之差異
Comparison of acceleration intensity indicators under different sports
指導教授: 相子元
Shiang, Tzyy-Yuang
學位類別: 碩士
Master
系所名稱: 運動競技學系
Department of Athletic Performance
論文出版年: 2020
畢業學年度: 108
語文別: 中文
論文頁數: 41
中文關鍵詞: 穿戴式裝置運動強度加速規
英文關鍵詞: Wearable device, Exercise intensity, Accelerometer
DOI URL: http://doi.org/10.6345/NTNU202001184
論文種類: 學術論文
相關次數: 點閱:162下載:30
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報
  • 近年來,運動時強度的界定已成為大眾關心的議題,準確的監控強度不只能提升運動表現,也可能降低運動傷害發生之機率。利用加速規計算強度指標的演算法有非常多種,如:Player Load、MAD (Mean Amplitude Deviation)等,以上指標在特定運動對於強度指標間的關係已有研究證實。然而,在指標間的差異與適用運動尚未有統整性的討論。目的:在不同運動下,利用加速規不同方法計算運動強度,比較指標間的差異。方法:招募15位受試者,配戴胸帶式心率帶於胸前與九軸IMU (Naxsen 9X, SIPPLink, Taiwan)放置於左手手腕、軀幹及右腳脛骨。收取羽球操(米字步)、跑步、籃球操(防守動作、投籃、跳耀等)三項運動試驗下的心率與加速度數據,加速度以10Hz低通濾波後,計算Player Load、MAD。以重複量數單因子變異數分析 比較不同強度下心率之差異,再以皮爾森積差相關分析加速度指標與心率間的相關性。結果:羽球試驗中兩項指標皆為放置於手部的加速度與心率有較高的相關性,跑步放置於手部的PL數值與心率有較高的相關性,籃球試驗中,兩種指標在三種放置位置下與心率都有高度的相關。結論:羽球與跑步兩種運動的加速規最佳放置位置為手部,籃球運動則不論部位,兩種指標皆適合使用。本實驗也發現,不管是Player Load或是MAD都需要放置於加速規數據變化較明顯之位置,才能使強度監控上有更準確的數據,未來在監控運動的選擇上,若要使用Player Load或MAD,該運動包含更多樣且動作較大的動作會是較適合之選擇。

    In recent years, the definition of intensity during exercise has become a high attention. Accurate monitoring of intensity not only improves sport performance but also reduces the probability of sport injuries. There are many methods for calculating the intensity index by the accelerator, such as Player Load and MAD (Mean Amplitude Deviation). The relation between these indexes in specific exercises and the exercise intensity has been confirmed by several reports. However, the differences between indexes and the applicable exercises have not been systematically discussed. Object: Different methods of accelerometer signal were used to calculate exercise intensity for different sports and compare the differences between indexes. Methods: Fifteen subjects were recruited, wearing a chest strap heart rate monitor on the chest and placing nine-axis IMUs (Naxsen 9X, SIPPLink, Taiwan) on the left wrist, trunk and right tibia. The heart rate and acceleration data under running, basketball exercises (shuttle running, and jumping) and badminton exercises (six-point footwork) were collected. After filtering the acceleration by 10Hz low-pass filter, the Player Load and the MAD were calculated. The difference of heart rate was analyzed under different exercise intensities test via repeated measured ANOVA, and the correlation coefficient between the heart rate and the acceleration intensity indexes were found out by using the Pearson product difference correlation. Results: In the badminton test, both indicators show that the accelerometer, which placed on hands, has a higher correlation with the heart rate; in the running test, the Player Load value placed on the hand has a higher correlation with the heart rate; in the basketball test, the two indicators for all the three placements are highly correlated with heart rate. Conclusion: The best placement of the acceleration for both badminton and running are on hands. Both indicators for basketball are suitable no matter where the accelerometer place. In this study, it also found that whether Player Load or MAD needs to be placed in a position with higher acceleration value to make more accurate intensity monitoring. In the future, choosing sport with more diverse and larger movement would be better in case of using PL or MAD as monitoring indicators.

    第壹章 緒論 1 第1節 前言 1 第2節 問題背景 3 第3節 研究目的 3 第4節 研究假設 3 第5節 研究範圍與限制 4 第6節 名詞操作定義 4 第7節 研究之重要性 4 第貳章 文獻探討 5 第1節 身體活動與運動強度的關係 5 第2節 心率與運動強度的關係 7 第3節 加速規與運動強度的關係 9 第4節 不同運動對強度之量測 12 第5節 文獻總結 14 第參章 實驗方法 15 第1節 研究對象 15 第2節 測量儀器與設備 15 第3節 實驗流程 17 第4節 資料收集與分析 20 第5節 統計方法 20 第肆章 結果 21 第1節 確認強度設定在心率上的差異 21 第2節 加速度不同算法之結果 22 第3節 加速度指標與心率之相關性 24 第伍章 討論 27 第1節 羽球運動適合放置位置與適合之強度參數 27 第2節 跑步運動適合放置位置與適合之強度參數 28 第3節 籃球運動適合放置位置與適合之強度參數 29 第四節 結論與建議 30 引用文獻 32 附錄一 實驗受試者須知 39 附錄二 實驗受試者同意書 40 附錄三 實驗受試者基本資料表 41

    江宗麟、徐志翔、林育槿、吳慧君 (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。

    馬修滋、林正常、福克斯 (1987)。運動生理學: 訓練的科學基礎。師大書苑出版發行。

    姚承義、林嘉志、徐煋輝 (2008)。運動體適能" 333" 與運動強度的探討。中華體育季刊,22(1),19-25。

    陳佑昇、黃冠勛、相子元 (2018)。使用穿戴裝置量化運動強度之可行性。運動表現期刊,5(2),51-57。

    傅正思、許績勝、馬君萍、王耀聰 (2013). 心跳率在跑步訓練上的應用。興大體育學刊,(第 12),153-160。

    黃森芳、陳杰 (2019). 高齡族群藉由身體活動預防癌症的效果。台灣老年醫學暨老年學會雜誌,14(4), 191-202。

    Aittasalo, M., Vähä-Ypyä, H., Vasankari, T., Husu, P., Jussila, A.-M., & Sievänen, H. (2015). Mean amplitude deviation calculated from raw acceleration data: a novel method for classifying the intensity of adolescents’ physical activity irrespective of accelerator brand. BMC Sports Science, Medicine and Rehabilitation, 7(1), 18.

    Aschendorf, P. F., Zinner, C., Delextrat, A., Engelmeyer, E., & Mester, J. (2019). Effects of basketball-specific high-intensity interval training on aerobic performance and physical capacities in youth female basketball players. The Physician and Sportsmedicine, 47(1), 65-70.

    Barrett, S., Midgley, A., & Lovell, R. (2014). PlayerLoad™: reliability, convergent validity, and influence of unit position during treadmill running. International Journal of Sports Physiology and Performance, 9(6), 945-952.

    Bergamini, E., Ligorio, G., Summa, A., Vannozzi, G., Cappozzo, A., & Sabatini, A. (2014). Estimating orientation using magnetic and inertial sensors and different sensor fusion approaches: Accuracy assessment in manual and locomotion tasks. Sensors, 14(10), 18625-18649.

    Berkelmans, D. M., Dalbo, V. J., Fox, J. L., Stanton, R.,Kean, C. O., Giamarelos, K. E., Scanlan, A. T.(2018).Influence of different methods to determine maximum heart rate on training load outcomes in basketball players. The Journal of Strength and Conditioning Research, 32(11), 3177-3185.

    Brayne, L., Barnes, A., Heller, B., & Wheat, J. (2015). Using a wireless inertial sensor to measure tibial shock during running: agreement with a skin mounted sensor. Paper presented at the ISBS-Conference Proceedings Archive.

    Brahms, C. M., Zhao, Y., Gerhard, D., & Barden, J. M. (2018). Stride length determination during overground running using a single foot-mounted inertial measurement unit. Journal of Biomechanics, 71, 302-305.

    Chambers, R., Gabbett, T. J., Cole, M. H., & Beard, A. (2015). The use of wearable microsensors to quantify sport-specific movements. Sports Medicine, 45(7), 1065-1081.

    Chen, S., Lach, J., Lo, B., & Yang, G.-Z. (2016). Toward pervasive gait analysis with wearable sensors: a systematic review. IEEE Journal of Biomedical and Health Informatics, 20(6), 1521-1537.

    Cornelissen, V., Verheyden, B., Aubert, A., & Fagard, R. (2010). Effects of aerobic training intensity on resting, exercise and post-exercise blood pressure, heart rate and heart-rate variability. Journal of Human Hypertension, 24(3), 175.

    Costigan, S. A., Lubans, D. R., Lonsdale, C., Sanders, T., & del Pozo Cruz, B. (2019). Associations between physical activity intensity and well-being in adolescents. Preventive Medicine. Currier, D., Lindner, R., Spittal, M. J.,Cvetkovski, S., Pirkis, J., & English, D. R. (2020). Physical activity and depression in men: Increased activity duration and intensity associated with lower likelihood of current depression. Journal of Affective Disorders, 260, 426-431.

    Dalen, T., Jørgen, I., Gertjan, E., Havard, H. G., & Ulrik, W. (2016). Player load, acceleration, and deceleration during forty-five competitive matches of elite soccer. The Journal of Strength and Conditioning Research, 30(2), 351-359.

    Deus, L. A., Sousa, C. V., Rosa, T. S., Souto Filho, J. M., Santos, P. A., Barbosa, L. D., . . . Simões, H. G. (2019). Heart rate variability in middle-aged sprint and endurance athletes. Physiology and Behavior, 205, 39-43.

    Edwards, J. R., & Parry, M. E. (1993). On the use of polynomial regression equations as an alternative to difference scores in organizational research. Academy of Management Journal, 36(6), 1577-1613.

    Fu, L., Ren, F., & Baker, J. S. (2017). Comparison of joint loading in badminton lunging between professional and amateur badminton players. Applied Bionics and Biomechanics, 2017.
    Gastin, P. B., McLean, O., Spittle, M., & Breed, R. V. (2013). Quantification of tackling demands in professional Australian football using integrated wearable athlete tracking technology. Journal of Science and Medicine in Sport, 16(6), 589-593.

    Hale, W. D., Kollock, R. O., & Pace, J. (2019). Vertical jump and agility performance improves after 8-week conditioning program in youth female volleyball athletes: 2955: Board# 1 May 31 2: 00 PM-3: 30 PM. Medicine and Science in Sports and Exercise, 51(6), 808.

    Hunt, K. J., & Hunt, A. J. (2016). Feedback control of heart rate during outdoor running: A smartphone implementation. Biomedical Signal Processing and Control, 26, 90-97.

    Jacob, A., Zakaria, W. N. W., & Tomari, M. R. B. M. (2016a). Implementation of IMU sensor for elbow movement measurement of badminton players. Paper presented at the 2016 2nd IEEE International Symposium on Robotics and Manufacturing Automation (ROMA).

    Jacob, A., Zakaria, W. N. W., & Tomari, M. R. B. M. (2016b). Quantitative analysis of hand movement in Badminton. In Advanced Computer and Communication Engineering Technology (pp. 439-448): Springer.

    Karatsidis, A., Jung, M., Schepers, H. M., Bellusci, G., de Zee, M., Veltink, P. H., & Andersen, M. S. (2019). Musculoskeletal model-based inverse dynamic analysis under ambulatory conditions using inertial motion capture. Medical Engineering & Physics, 65, 68-77.
    Kilen, A., Gizzi, L., Jensen, B. R., Farina, D., & Nordsborg, N. B. (2012). Changes in human muscle oxygen saturation and mean fiber conduction velocity during intense dynamic exercise—effect of muscular training status. Muscle and Nerve, 46(5), 746-754.

    King, A. C., Whitt-Glover, M. C., Marquez, D. X., Buman, M. P., Napolitano, M. A., Jakicic, J., Tennant, B. L. (2019). Physical activity promotion: highlights from the 2018 Physical activity guidelines advisory committee systematic review. Medicine and Science in Sports and Exercise, 51(6), 1340-1353.

    Kingsley, M. I., Nawaratne, R., O’Halloran, P. D., Montoye, A. H., Alahakoon, D., De Silva, D., Nicholson, M. (2019). Wrist-specific accelerometry methods for estimating free-living physical activity. Journal of Science and Medicine in Sport, 22(6), 677-683.

    Kopiczko, A., Gryko, K., & Łopuszańska-Dawid, M. (2018). Bone mineral density, hand grip strength, smoking status and physical activity in Polish young men. HOMO, 69(4), 209-216.

    Lahdenoja, O., Humanen, T., Tadi, M. J., Pänkäälä, M., & Koivisto, T. (2016). Heart rate variability estimation with joint accelerator and gyroscope sensing. Paper presented at the 2016 Computing in Cardiology Conference (CinC).

    Macpherson, C., Purcell, C., & Bulley, C. (2009). Energy expended when walking 10,000 steps at different speeds. Advances in Physiotherapy, 11(4), 179-185.

    Maggioni, M. A., Bonato, M., Stahn, A., La Torre, A., Agnello, L., Vernillo, G., Merati, G. (2019). Effects of ball drills and repeated-sprint-ability training in basketball players. International Journal of Sports Physiology and Performance, 14(6), 757-764.

    Meckel, Y., Zach, S., Eliakim, A., & Sindiani, M. (2018). The interval-training paradox: Physiological responses vs. subjective rate of perceived exertion. Physiology and Behavior, 196, 144-149.

    Mo, S., & Chow, D. H. (2018). Accuracy of three methods in gait event detection during overground running. Gait & Posture, 59, 93-98.

    Ngoh, K. J.-H., Gouwanda, D., Gopalai, A. A., & Chong, Y. Z. (2018). Estimation of vertical ground reaction force during running using neural network model and uniaxial accelerator. Journal of Biomechanics, 76, 269-273.

    Quarrie, K. L., Raftery, M., Blackie, J., Cook, C. J., Fuller, C. W., Gabbett, T. J., . . . Kemp, S. (2017). Managing player load in professional rugby union: a review of current knowledge and practices. British Journal of Sports Medicine, 51(5), 421-427.

    Raper, D. P., Witchalls, J., Philips, E. J., Knight, E., Drew, M. K., & Waddington, G. (2018). Use of a tibial accelerometer to measure ground reaction force in running: a reliability and validity comparison with force plates. Journal of Science and Medicine in Sport, 21(1), 84-88.

    Regnaux, J. P., Lefevre‐Colau, M. M., Trinquart, L., Nguyen, C., Boutron, I., Brosseau, L., & Ravaud, P. (2015). High‐intensity versus low‐intensity physical activity or exercise in people with hip or knee osteoarthritis. Cochrane Database of Systematic Reviews(10).

    Rodriguez, V., Medrano, C., Plaza, I., Corella, C., Abarca, A., & Julian, J. (2019). Comparison of several algorithms to estimate activity counts with smartphones as an indication of physical activity level. IRBM, 40(2), 95-102.

    Sanders, G. J., Boos, B., Shipley, F., Scheadler, C. M., & Peacock, C. A. (2018). An accelerator-based training load analysis to assess volleyball performance. J. Exerc. Nutr, 1, 1-4.

    Scott, B. R., Lockie, R. G., Knight, T. J., Clark, A. C., & de Jonge, X. A. J. (2013). A comparison of methods to quantify the in-season training load of professional soccer players. International Journal of Sports Physiology and Performance, 8(2), 195-202.

    Svilar, L., Castellano, J., & Jukic, I. (2019). Comparison of 5vs5 training games and match-play using microsensor technology in elite basketball. The Journal of Strength and Conditioning Research, 33(7), 1897-1903.

    Thompson, W. R. (2018). Worldwide survey of fitness trends for 2019. ACSM's Health and Fitness Journal, 22(6), 10-17.
    Thompson, W. R. (2019). Worldwide survey of fitness trends for 2020. ACSM's Health and Fitness Journal, 23(6), 10-18.

    Vähä-Ypyä, H., Vasankari, T., Husu, P., Mänttäri, A., Vuorimaa, T., Suni, J., & Sievänen, H. (2015). Validation of cut-points for evaluating the intensity of physical activity with accelerometry-based mean amplitude deviation (MAD). PloS one, 10(8), e0134813.

    Wang, Z., Guo, M., & Zhao, C. (2016). Badminton stroke recognition based on body sensor networks. IEEE Transactions on Human-Machine Systems, 46(5), 769-775.

    Wasinger, V. C., Cordwell, S. J., Cerpa‐Poljak, A., Yan, J. X., Gooley, A. A., Wilkins, M. R., . . . Humphery‐Smith, I. (1995). Progress with gene‐product mapping of the Mollicutes: Mycoplasma genitalium. Electrophoresis, 16(1), 1090-1094.

    Weiss, K. J., Allen, S. V., McGuigan, M. R., & Whatman, C. S. (2017). The relationship between training load and injury in men’s professional basketball. International Journal of Sports Physiology and Performance, 12(9), 1238-1242.

    Welk, G. J., Blair, S. N., Wood, K., Jones, S., & Thompson, R. W. (2000). A comparative evaluation of three accelerometry-based physical activity monitors. Medicine and Science in Sports and Exercise, 32(9), S489-S497.

    Wilmore, J. H., Costill, D. L., & Kenney, W. L. (1994). Physiology of Sport and Exercise (Vol. 524): Human kinetics Champaign, IL. Wong, T. K., Ma, A. W., Liu, K. P., Chung, L. M., Bae, Y.-H., Fong, S. S., . . . Wang, H.-K. (2019). Balance control, agility, eye–hand coordination, and sport performance of amateur badminton players: A cross-sectional study. Medicine, 98(2).

    Yuenyongchaiwat, K. (2016). Effects of 10,000 steps a day on physical and mental health in overweight participants in a community setting: a preliminary study. Brazilian Journal of Physical Therapy (AHEAD), 0-0.

    下載圖示
    QR CODE