Montes Jeff, Stone Tori M, Manning Jacob W, McCune Damon, Tacad Debra K, Young John C, Debeliso Mark, Navalta James W
Department of Kinesiology and Nutrition Sciences, University of Nevada, Las Vegas, Las Vegas, NV, USA.
Department of Physical Education & Human Performance, Southern Utah University, Cedar City, UT, USA.
Int J Exerc Sci. 2015 Oct 15;8(4):425-430. doi: 10.70252/RPST8598. eCollection 2015.
Use of wearable technology to obtain various body metrics appears to be a trending phenomenon. However there is very little literature supporting the notion that these apparatuses can be used for research purposes in the field. The purpose of this study was to utilize Hexoskin wearable technology shirts (HxS) to obtain data in a pilot study using a trail hiking situation. Ten individuals (male, n = 4, female n = 6) volunteered to participate. On the first day, volunteers completed two approximately flat trail hikes at a self-preferred pace with a 15-minute rest between trials. On the second day, participants completed a strenuous uphill hike (17.6% grade) with a 15-minute rest at the summit and then completed the downhill portion. Body metrics provided by the HxS were average heart rate (HR), maximal HR (MHR), total energy expenditure (EE), average respiratory rate (RR), maximal respiratory rate (MRR), total steps (SC), and cadence (CA). Other measurements obtained were systolic and diastolic blood pressure (SBP, DBP), and ratings of perceived exertion (RPE). Data were analyzed using both one-way repeated measures analysis of variance (ANOVA) with significance accepted at p≤0.05 and intraclass correlation coefficients (ICC) for each variable. Both were determined using Statistical Package for the Social Sciences software (SPSS). No significant differences for trail type were noted for MHR (p=0.38), RR (p=0.45) or MRR (p=0.31). The uphill trail elicited significantly elevated HR (up=154±24 bpm, easy=118±11 bpm, down=129±19 bpm; p=0.04) and EE (up=251±78 kcal, easy=124±38 kcal, down=171±52 kcal; p=0.02). Significant ICC were observed for DBP (r = 0.80, p = 0.02), RR (r = 0.98, p = 0.01), SC (r = 0.97, p = 0.01) and RPE (r = 0.94, p = 0.01). Non-significant correlation were noted for uphill RR vs CA (r=0.51, p=0.16) or RPE vs SBP (r=0.03, p=0.94), HR (r=0.60, p=0.12), and MHR (r=0.70, p=0.051). We utilized HxS to provide physiological data in an applied setting. It should be noted that HR did not register in 5 out of 10 subjects on the easy trail, and 8 of 10 participants during the uphill hike. Additionally, estimated EE appears to be linked to HR intensity. Future investigations taken in an outdoor environment should take these findings into consideration.
使用可穿戴技术获取各种身体指标似乎是一种趋势现象。然而,几乎没有文献支持这些设备可用于该领域研究目的这一观点。本研究的目的是在一项初步研究中利用Hexoskin可穿戴技术衬衫(HxS),通过徒步旅行的情境来获取数据。十名个体(男性4名,女性6名)自愿参与。第一天,志愿者以自己偏好的速度完成两次大致平坦的徒步旅行,两次试验之间休息15分钟。第二天,参与者完成一次剧烈的上坡徒步旅行(坡度17.6%),在山顶休息15分钟,然后完成下坡部分。HxS提供的身体指标包括平均心率(HR)、最大心率(MHR)、总能量消耗(EE)、平均呼吸频率(RR)、最大呼吸频率(MRR)、总步数(SC)和步频(CA)。获得的其他测量值包括收缩压和舒张压(SBP、DBP)以及主观用力程度分级(RPE)。使用单因素重复测量方差分析(ANOVA)对数据进行分析,显著性水平设定为p≤0.05,同时计算每个变量的组内相关系数(ICC)。两者均使用社会科学统计软件包(SPSS)进行测定。对于MHR(p = 0.38)、RR(p = 0.45)或MRR(p = 0.31),未发现不同类型徒步旅行之间存在显著差异。上坡徒步旅行引发了显著升高的心率(上坡 = 154±24次/分钟,平坦 = 118±11次/分钟,下坡 = 129±19次/分钟;p = 0.04)和能量消耗(上坡 = 251±78千卡,平坦 = 124±38千卡,下坡 = 171±52千卡;p = 0.02)。观察到DBP(r = 0.80,p = 0.02)、RR(r = 0.98,p = 0.01)、SC(r = 0.97,p = 0.01)和RPE(r = 0.94,p = 0.01)的ICC具有显著性。未发现上坡RR与CA(r = 0.51,p = 0.16)或RPE与SBP(r = 0.03,p = 0.94)、HR(r = 0.60,p = 0.12)以及MHR(r = 0.70,p = 0.051)之间存在显著相关性。我们利用HxS在实际环境中提供生理数据。需要注意的是,在平坦徒步旅行中,10名受试者中有5名的心率未被记录,在上坡徒步旅行中,10名参与者中有8名的心率未被记录。此外,估计的能量消耗似乎与心率强度相关。未来在户外环境中进行的研究应考虑这些发现。