Smartphone-Based Cardiac Rehabilitation Program: Feasibility Study.
Smartphone-Based Cardiac Rehabilitation Program: Feasibility Study.
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DOI：
10.1371/journal.pone.0161268
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发表时间：
2016
期刊：
影响因子：
3.7
通讯作者：
Lee J
中科院分区：
文献类型：
--
作者：
Chung H;Ko H;Thap T;Jeong C;Noh SE;Yoon KH;Lee J
我们介绍了一种心脏康复计划（CRP），只使用智能手机，没有外部设备。作为心脏康复锻炼的有效指南，我们开发了一个应用程序，通过将估计的心率（HR）与目标心率区（THZ）进行比较来自动指示运动强度。使用智能手机内置摄像头拍摄的指尖视频图像来估计HR。推出的CRP应用程序包括运动前，运动强度指导和运动后。在运动前阶段，设置诸如THZ、运动类型、运动阶段顺序和每个阶段的持续时间等信息。在有强度指导的运动中，应用程序从使用智能手机内置摄像头获得的脉搏中估计HR，并将估计的HR与THZ进行比较。基于这种比较，该应用程序调整运动强度，以在运动期间将患者的HR转移到THZ。在运动后阶段，该应用程序管理估计的HR与THZ的比值，并提供关于运动期间胸痛、呼吸急促和腿部疼痛等因素的问卷，作为客观和主观评价指标。作为一个关键问题，HR估计信号腐败由于运动伪影也被认为是。通过基于智能手机的CRP，我们估计HR准确度的平均绝对误差和均方根误差分别为6.16和4.30 bpm，通过结合转折点比和峰度检测到由于运动伪影引起的信号损坏。
We introduce a cardiac rehabilitation program (CRP) that utilizes only a smartphone, with no external devices. As an efficient guide for cardiac rehabilitation exercise, we developed an application to automatically indicate the exercise intensity by comparing the estimated heart rate (HR) with the target heart rate zone (THZ). The HR is estimated using video images of a fingertip taken by the smartphone’s built-in camera. The introduced CRP app includes pre-exercise, exercise with intensity guidance, and post-exercise. In the pre-exercise period, information such as THZ, exercise type, exercise stage order, and duration of each stage are set up. In the exercise with intensity guidance, the app estimates HR from the pulse obtained using the smartphone’s built-in camera and compares the estimated HR with the THZ. Based on this comparison, the app adjusts the exercise intensity to shift the patient’s HR to the THZ during exercise. In the post-exercise period, the app manages the ratio of the estimated HR to the THZ and provides a questionnaire on factors such as chest pain, shortness of breath, and leg pain during exercise, as objective and subjective evaluation indicators. As a key issue, HR estimation upon signal corruption due to motion artifacts is also considered. Through the smartphone-based CRP, we estimated the HR accuracy as mean absolute error and root mean squared error of 6.16 and 4.30bpm, respectively, with signal corruption due to motion artifacts being detected by combining the turning point ratio and kurtosis.