Telemedical Heart Rate Measurements for Lifestyle Counselling

Mario Salai, G. Tuboly, I. Vassányi, I. Kósa
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Abstract

In this paper we analyse a low-cost commercial chest belt to be integrated into a lifestyle counselling system as a source of heart rate data. We compared data from a Schiller ECG Holter device, which serves as a reference to a CardioSport device. Due to missing data in the CardioSport device caused by loss of contact with the body, the creation of special algorithms was necessary for synchronization and data validation. The results show that when using our synchronization algorithms the average absolute percentage error between the two signals was 2% with correlation of more than 99%. Using a data validation algorithm, we were able to get on average more than 70% of the signal with an absolute percentage error of 3% and a high average correlation of 99%. The mean RR interval values and standard deviation of RR intervals are very close to those of the reference device using both the synchronization and data validation algorithms. When using the data validation algorithm, the reference measurements produced only slightly better results with regard to false detections of atrial defibrillation than the CardioSport device. In conclusion, we found that with a simple preprocessing algorithm, CardioSport as a low-cost device can be safely integrated into a lifestyle support system as a telemedical solution.
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远程医疗心率测量用于生活方式咨询
在本文中,我们分析了一种低成本的商业胸带,将其集成到生活方式咨询系统中作为心率数据的来源。我们比较了Schiller心电图动态心电图装置的数据,该装置可作为CardioSport装置的参考。由于CardioSport设备与身体失去接触导致数据丢失,需要创建特殊的算法来进行同步和数据验证。结果表明,采用同步算法时,两个信号的平均绝对百分比误差为2%,相关性大于99%。使用数据验证算法,我们能够获得平均超过70%的信号,绝对百分比误差为3%,平均相关性为99%。采用同步算法和数据验证算法得到的RR区间均值和标准差与参考设备的RR区间均值和标准差非常接近。当使用数据验证算法时,参考测量在心房除颤错误检测方面仅比CardioSport装置产生稍好的结果。总之,我们发现,通过简单的预处理算法,CardioSport作为一种低成本的设备,可以作为远程医疗解决方案安全地集成到生活方式支持系统中。
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