Cibis Tobias, Groh Benjamin H, Gatermann Heike, Leutheuser Heike, Eskofier Bjoern M
Annu Int Conf IEEE Eng Med Biol Soc. 2015;2015:6074-7. doi: 10.1109/EMBC.2015.7319777.
Medical diagnosis is the first level for recognition and treatment of diseases. To realize fast diagnosis, we propose a concept of a basic framework for the underwater monitoring of a diver's ECG signal, including an alert system that warns the diver of predefined medical emergency situations. The framework contains QRS detection, heart rate calculation and an alert system. After performing a predefined study protocol, the algorithm's accuracy was evaluated with 10 subjects in a dry environment and with 5 subjects in an underwater environment. The results showed that, in 3 out of 5 dives as well as in dry environment, data transmission remained stable. In these cases, the subjects were able to trigger the alert system. The evaluated data showed a clear ECG signal with a QRS detection accuracy of 90 %. Thus, the proposed framework has the potential to detect and to warn of health risks. Further developments of this sample concept can imply an extension for monitoring different biomedical parameters.
医学诊断是疾病识别与治疗的首要环节。为实现快速诊断，我们提出了一种用于潜水员心电图信号水下监测的基本框架概念，其中包括一个在预定义医疗紧急情况下向潜水员发出警报的系统。该框架包含QRS检测、心率计算和一个警报系统。在执行预定义的研究方案后，在干燥环境中对10名受试者以及在水下环境中对5名受试者评估了该算法的准确性。结果表明，在5次潜水中的3次以及在干燥环境中，数据传输保持稳定。在这些情况下，受试者能够触发警报系统。评估数据显示出清晰的心电图信号，QRS检测准确率为90%。因此，所提出的框架具有检测和警告健康风险的潜力。这个示例概念的进一步发展可能意味着对监测不同生物医学参数的扩展。
