Currently, the market size of blood pressure monitors both in domestic and overseas is gradually increasing due to the increase in hypertension patients resulting from aging population. In addition, the necessity of developing systems and devices for the healthcare of hypertension patients is also increasing. Moreover, the determination of health normality in respect to the management of hypertension patients is possible, but it is essentially important to incorporate preventive healthcare. Thus, further studies on deep learning-based prediction technology using previous data are needed. This paper proposes the development of an intelligent healthcare management system that can help to manage the health of hypertensive patients. The system includes a wrist-worn ambulatory blood pressure monitoring device that can analyze the normality of measured blood pressures. The performance evaluation results of the proposed system verified the reliability of data acquisition as compared with the existing equipment as well as the efficiency of the intelligent healthcare system.

当前，由于人口老龄化引起的高血压患者的增加，国内外的血压计的市场规模正在逐渐增加。另外，开发用于高血压患者保健的系统和设备的必要性也在增加。而且，可以确定关于高血压患者管理的健康正常性，但是，结合预防性保健至关重要。因此，需要对使用先前数据的基于深度学习的预测技术进行进一步研究。本文提出了一种智能医疗管理系统的开发，该系统可以帮助管理高血压患者的健康。该系统包括腕戴式动态血压监测设备，该设备可以分析测得的血压的正常性。该系统的性能评估结果验证了与现有设备相比数据采集的可靠性以及智能医疗系统的效率。