Sudden cardiac accident (SCA) during a marathon is a concern due to the popularity of the sport. Preventive strategies, such as cardiac screening and deployment of automated external defibrillators have controversial cost-effectiveness. We investigated the feasibility of use of a new electrocardiography (ECG) sensor-embedded fabric wear (SFW) during a marathon as a novel preventive strategy against SCA. Twenty healthy volunteers participated in a full marathon race. They were equipped with a SFW hitoe® with a transmitter connected via Bluetooth to a standard smartphone for continuous ECG recording. All data were stored in a smartphone and used to analyze the data acquisition rate. The adequate data acquisition rate was > 90% in 13, 30–90% in 3, and < 10% in 4 runners. All of 4 runners with poorly recorded data were female. Inadequate data acquisition was significantly associated with the early phase of the race compared with the mid phase (P = 0.007). Except for 3 runners with poor heart rate data, automated software calculation was significantly associated with manual analysis for both the mean (P < 0.001) and maximum (P = 0.014) heart rate. We tested the feasibility of continuously recording cardiac data during a marathon using a new ECG sensor-embedded wearable device. Although data from 65% of runners were adequately recorded, female runners and the early phase of the race tended to have poor data acquisition. Further improvements in device ergonomics and software are necessary to improve ability to detect abnormal ECGs that may precede SCA.

由于这项运动的普及，马拉松期间的突发心脏事故 (SCA) 是一个令人担忧的问题。诸如心脏筛查和部署自动体外除颤器等预防策略的成本效益存在争议。我们调查了在马拉松比赛中使用新的心电图 (ECG) 传感器嵌入式织物磨损 (SFW) 作为预防 SCA 的新策略的可行性。二十名健康志愿者参加了全程马拉松比赛。他们配备了 SFW hitoe®，其发射器通过蓝牙连接到标准智能手机，用于连续记录心电图。所有数据都存储在智能手机中，用于分析数据采集率。足够的数据采集率在 13 名跑步者中 > 90%，在 3 名跑步者中为 30-90%，在 4 名跑步者中 < 10%。数据记录不佳的 4 名跑步者均为女性。P  = 0.007)。除了 3 名心率数据较差的跑步者外，自动软件计算与平均 ( P  < 0.001) 和最大 ( P  = 0.014) 心率的手动分析显着相关。我们测试了使用新的 ECG 传感器嵌入式可穿戴设备在马拉松期间连续记录心脏数据的可行性。尽管 65% 的跑步者的数据得到了充分记录，但女性跑步者和比赛的早期阶段往往数据采集不佳。设备人体工程学和软件的进一步改进对于提高检测可能在 SCA 之前的异常 ECG 的能力是必要的。