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Scalable Telemonitoring Model in Cloud for Health Care Analysis

机译:云中可扩展的远程监测模型进行医疗保健分析

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Telemonitoring model is health observations model that going to surveillance patients remotely. Telemonitoring model is suitable for patients to avoid high operating expense to get Emergency treatment. Telemonitoring gives the path for monitoring the medical device that generates a complete profile of patient's health through assembling essential signs as well as additional health information. Telemonitoring model is relying on four differential modules which is capable to generate realistic synthetic electrocardiogram (ECG) signals. Telemonitoring model shows four categories of chronic disease: pulmonary state, diabetes, hypertension, as well as cardiovascular diseases. On the other hand, the results of this application model recommend facilitating despite of their nationality, socioeconomic grade, or age, patients observe amid tele-monitoring programs as well as the utilization of technologies. Patient's multiple health status is shown in the result such as beat-to-beat variation in morphology and timing of the human ECG, including QT dispersion and R-peak amplitude modulation. This model will be utilized to evaluate biomedical signal processing methods that are utilized to calculate clinical information from the ECG.
机译:遥测模型是健康观测模型,远程监测患者。遥感模型适用于患者避免高运营费用以获得紧急治疗。远程感应者提供了监控医疗设备的路径,通过组装基本标志以及额外的健康信息来监视患者健康的完整概况。远程客户模型依赖于四个差分模块,该模块能够产生现实的合成心电图(ECG)信号。遥测模型显示四类慢性疾病:肺态,糖尿病,高血压以及心血管疾病。另一方面,尽管其国籍,社会经济成绩或年龄,但患者在远程监测方案中观察以及技术的利用,因此仍建议促进促进促进。患者的多重健康状况显示在诸如人类心电图的形态和时序的节拍变异,包括QT色散和R峰值幅度调制。该模型将用于评估利用以计算ECG计算临床信息的生物医学信号处理方法。

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