Amin Daneshfar, Carl Petersen, Daniel Gahreman, Beat Knechtle
{"title":"越野自行车越野赛(BMX)功率分析。","authors":"Amin Daneshfar, Carl Petersen, Daniel Gahreman, Beat Knechtle","doi":"10.2147/OAJSM.S256052","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Power meter is a useful tool for monitoring cyclists' training and race performance. However, limited data are available regarding BMX racing power output. The aim of this study was to characterise the power production of BMX riders and investigate its potential role on race performance.</p><p><strong>Methods: </strong>Fourteen male riders (age: 20.3 ± 1.5 years, height: 1.75 ± 0.05 m, mass: 70.2 ± 6.4 kg) participated in this study. The tests consist of performing two races apart from 15-min recovery. SRM power meter was used to record power and cadence. Cyclists' fastest race was used for the data analysis. Heart rate was recorded at 1-s intervals using a Garmin HR chest strap. Lap time was recorded using four pairs of photocells positioned at the start gate, bottom of the start ramp, end of first corner (time cornering), and on the finish line.</p><p><strong>Results: </strong>There was a large correlation between race time and relative peak power (r = -0.68, <i>p</i> < 0.01) as well as average power with zero value excluded (r = -0.52, <i>p</i> < 0.01). Race time was also significantly associated with time cornering (r = 0.58, <i>p</i> < 0.01). Peak power (1288.7 ± 62.6 W) was reached in the first 2.34 second of the race. With zero values included, the average power was 355.8 ± 25.4 W, which was about 28% of the peak power, compared to 62% when zero values were excluded (795.6 ± 63.5 W).</p><p><strong>Conclusion: </strong>The post-race analysis of the power data might help the cyclists recognizing the need to apply certain strategies on pedalling rates and power production in certain portions of the BMX track, specially, at the start and around the first corner. BMX coaches must consider designing training programs based on the race intensity and power output zones.</p>","PeriodicalId":51644,"journal":{"name":"Open Access Journal of Sports Medicine","volume":"11 ","pages":"113-121"},"PeriodicalIF":1.3000,"publicationDate":"2020-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.2147/OAJSM.S256052","citationCount":"4","resultStr":"{\"title\":\"Power Analysis of Field-Based Bicycle Motor Cross (BMX).\",\"authors\":\"Amin Daneshfar, Carl Petersen, Daniel Gahreman, Beat Knechtle\",\"doi\":\"10.2147/OAJSM.S256052\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>Power meter is a useful tool for monitoring cyclists' training and race performance. However, limited data are available regarding BMX racing power output. The aim of this study was to characterise the power production of BMX riders and investigate its potential role on race performance.</p><p><strong>Methods: </strong>Fourteen male riders (age: 20.3 ± 1.5 years, height: 1.75 ± 0.05 m, mass: 70.2 ± 6.4 kg) participated in this study. The tests consist of performing two races apart from 15-min recovery. SRM power meter was used to record power and cadence. Cyclists' fastest race was used for the data analysis. Heart rate was recorded at 1-s intervals using a Garmin HR chest strap. Lap time was recorded using four pairs of photocells positioned at the start gate, bottom of the start ramp, end of first corner (time cornering), and on the finish line.</p><p><strong>Results: </strong>There was a large correlation between race time and relative peak power (r = -0.68, <i>p</i> < 0.01) as well as average power with zero value excluded (r = -0.52, <i>p</i> < 0.01). Race time was also significantly associated with time cornering (r = 0.58, <i>p</i> < 0.01). Peak power (1288.7 ± 62.6 W) was reached in the first 2.34 second of the race. With zero values included, the average power was 355.8 ± 25.4 W, which was about 28% of the peak power, compared to 62% when zero values were excluded (795.6 ± 63.5 W).</p><p><strong>Conclusion: </strong>The post-race analysis of the power data might help the cyclists recognizing the need to apply certain strategies on pedalling rates and power production in certain portions of the BMX track, specially, at the start and around the first corner. BMX coaches must consider designing training programs based on the race intensity and power output zones.</p>\",\"PeriodicalId\":51644,\"journal\":{\"name\":\"Open Access Journal of Sports Medicine\",\"volume\":\"11 \",\"pages\":\"113-121\"},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2020-07-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.2147/OAJSM.S256052\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Open Access Journal of Sports Medicine\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2147/OAJSM.S256052\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2020/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q3\",\"JCRName\":\"SPORT SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Open Access Journal of Sports Medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2147/OAJSM.S256052","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2020/1/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"SPORT SCIENCES","Score":null,"Total":0}
引用次数: 4
摘要
功率计是一个有用的工具,监测自行车运动员的训练和比赛表现。然而,关于小轮车赛车功率输出的数据有限。本研究的目的是表征小轮车车手的动力产生,并调查其对比赛表现的潜在作用。方法:14名男性骑手(年龄:20.3±1.5岁,身高:1.75±0.05 m,体重:70.2±6.4 kg)参与研究。测试包括进行两场比赛,除了15分钟的恢复。使用SRM功率计记录功率和节奏。骑车者最快的比赛被用于数据分析。使用Garmin HR胸带每隔1-s记录心率。使用四对光电管记录单圈时间,这些光电管分别位于起跑门、起跑坡道底部、第一个弯道终点(计时弯道)和终点线上。结果:比赛时间与相对峰值功率(r = -0.68, p < 0.01)和排除零值的平均功率(r = -0.52, p < 0.01)有很大的相关性。比赛时间与转弯时间也显著相关(r = 0.58, p < 0.01)。在比赛的前2.34秒内达到了最高功率(1288.7±62.6 W)。考虑零值时,平均功率为355.8±25.4 W,约为峰值功率的28%,而不考虑零值(795.6±63.5 W)时,平均功率为62%。结论:对功率数据的赛后分析可以帮助自行车手认识到在小轮车赛道的某些部分,特别是在起点和第一个弯道时,需要采用特定的蹬速和功率产生策略。小轮车教练必须考虑根据比赛强度和能量输出区域来设计训练计划。
Power Analysis of Field-Based Bicycle Motor Cross (BMX).
Introduction: Power meter is a useful tool for monitoring cyclists' training and race performance. However, limited data are available regarding BMX racing power output. The aim of this study was to characterise the power production of BMX riders and investigate its potential role on race performance.
Methods: Fourteen male riders (age: 20.3 ± 1.5 years, height: 1.75 ± 0.05 m, mass: 70.2 ± 6.4 kg) participated in this study. The tests consist of performing two races apart from 15-min recovery. SRM power meter was used to record power and cadence. Cyclists' fastest race was used for the data analysis. Heart rate was recorded at 1-s intervals using a Garmin HR chest strap. Lap time was recorded using four pairs of photocells positioned at the start gate, bottom of the start ramp, end of first corner (time cornering), and on the finish line.
Results: There was a large correlation between race time and relative peak power (r = -0.68, p < 0.01) as well as average power with zero value excluded (r = -0.52, p < 0.01). Race time was also significantly associated with time cornering (r = 0.58, p < 0.01). Peak power (1288.7 ± 62.6 W) was reached in the first 2.34 second of the race. With zero values included, the average power was 355.8 ± 25.4 W, which was about 28% of the peak power, compared to 62% when zero values were excluded (795.6 ± 63.5 W).
Conclusion: The post-race analysis of the power data might help the cyclists recognizing the need to apply certain strategies on pedalling rates and power production in certain portions of the BMX track, specially, at the start and around the first corner. BMX coaches must consider designing training programs based on the race intensity and power output zones.