HRCal: An effective calibration system for heart rate detection during exercising
HRCal: An effective calibration system for heart rate detection during exercising
复制标题
HRCal：运动期间心率检测的有效校准系统
DOI：
10.1016/j.jnca.2019.03.007
复制
发表时间：
2019
影响因子：
8.7
通讯作者：
Ouyang Zhenchao
中科院分区：
文献类型：
--
作者：
Jin Xin;Gu Fei;Jianwei Niu;Yu Shui;Ouyang Zhenchao
心率直接反映心脏的健康状况，心率的检测有助于及时发现心脏活动的异常表现。然而，目前的心率检测系统和设备仍有显著改进的空间，特别是在剧烈运动期间。目前大多数系统都采用运动补偿算法来提高监控精度，但受传感器的限制，其性能并不理想。本文提出了一种基于多传感器数据融合的心率校准系统HRCal，该系统建立了长短期记忆(LSTM)模型对心率检测进行校准。具体地说，HRCal利用智能设备(智能手机和运动手表)的内置传感器(如加速计、陀螺仪和磁强计)来收集用户的运动数据。为了提高心率检测的准确性和可靠性，提出了一种LSTM模型，并用不同的特征对其进行训练。此外，我们还精心设计了一个评估方案，将HRCal与其他方法进行了比较。我们已经在Android平台上全面实现了HRCal，实验结果(8名受试者)表明，HRCal对普通运动手表具有显著的效果，可以提高它们在体育训练中检测心率的准确率(MOTO 360高达12.5%，Mio Alpha高达6.8%)。
Heart rate directly reflects heart health and the detection of heart rate contributes to finding the abnormal performance of heart activity in a timely manner. Nevertheless, there is scope for a significant improvement in current heart rate detection systems and devices, especially during strenuous exercise. Motion compensation algorithm is used in most current systems to improve the monitoring accuracy, but it is limited by sensors and its performance is not satisfactory. In this paper, we propose HRCal, a novel Heart Rate Calibration System, which establishes a Long Short-Term Memory (LSTM) model to calibrate the detection of heart rate based on multisensor data fusion. Specifically, HRCal utilizes the built-in sensors (e.g. accelerometer, gyroscope and magnetometer) from smart devices (smartphones and sports watches) to collect users' motion data. Then a LSTM model is proposed and trained with different features to improve the accuracy and reliability of heart rate detection. In addition, we also elaborately design an evaluation scheme to compare HRCal with other approaches. We have fully implemented HRCal on Android platform and the experimental results (8 subjects) demonstrate that HRCal has a remarkable effect on common sports watches, to improve their accuracy of heart rate detection in physical training (up to 12.5% for moto 360 and 6.8% for Mio Alpha).