以心力指標建立預測男性3000公尺徒手跑步成績模型之探討

Development of a 3000 Meter Run Physical Performance Prediction Model for male through wearable technology

近年來馬拉松、路跑等活動已成為全民運動，而許多跑步意外發生多為心臟超出運動負荷量，如能提前預測意外事故發生，便可降低危安因素之風險。本研究為橫斷性研究，對象為北部地區某軍事院校學生及勤務連人員，研究個案分為測驗1次計96員及1次（含）以上計20員共計116員，探討BioHarness 3.0參數與3000公尺徒手跑步完成時間及其合格與否之相關性並建立其預測模型。研究結果顯示，單次測量者跑步活動量累積七分鐘（ACi＝7）與跑步成績合格與否達統計上顯著意義。測量（含）1次以上者於走路時尖峰加速度心力指標累積三分鐘（CFI.AC.WALK＝3）能預測跑步完成時間；另跑步時活動量累積第三分鐘（ACi＝3）及跑步時第七分鐘活動量心力比值相較於第一分鐘心力比值（CFRr.AC.w1i7）可預測跑步成績合格與否。藉由本研究結果，未來可將穿戴式裝置納入國軍體能鑑測裝備中，以監測運動下即時狀態，降低運動傷害風險及意外傷害發生。 Marathon and road running has become popular sports in the recent years. However, there are many accidents associate with running cause by exceeding the maximum load for heart. If we can predict these accidents, we can reduce the risk. This is a cross-sectional study with military academy students and service company personnel in the northern region as subjects. Study cases are, 116 people in total, divided into 96 people with 1 test and 20 people with multiple tests. And investigate the correlation among the parameter of BioHarness 3.0, finish time of 3000 meters bare hand running, and qualification, and build its prediction model. Study shows that the single measure of running activity of accumulated 7 minutes (ACi = 7) and running performance qualification is statistically significant. The finish time of running can be predicted when peak acceleration while walking with cardiac index accumulated three minutes (CFI.AC.WALK=3) for those test once and more. In addition, the cardiac force ratio of third minute (ACi = 3) and the seventh minute (minute) of activity while running can be compared with the first minute (CFRr.AC.w1i7) to predict whether the running result is qualified or not. By the result of this study, the wearable device can be included in the military equipment for exam to monitor the immediate situation while exercising, and reduce the risk of sporting harm or accidents.