针对可穿戴技术发展现状及当前社会对健康监测智能化的需求，本文对多功能集成的智能手表解决方案及其实现的关键技术展开了研究。首先，本文将高集成度的传感器技术、蓝牙低功耗（BLE）技术与移动通信技术一体化融合后应用于本项目开发实践；其次，本文所设计的系统在硬件设计上选择高集成度、高性价比的模组与芯片方案；再次，该系统利用实时操作系统 FreeRTOS 平台开发了可与触摸屏进行交互的友好图形界面；最后，基于安卓系统，开发了可与 BLE 硬件实现无线连接并进行数据同步的高性能应用软件。本文设计的系统具备了实时日历时钟、电话短信、通讯录管理、计步、心率以及睡眠质量监测等功能。经试验测试表明，系统中各传感器采集数据精度、系统数据传输能力、整机功耗等指标均达到产品化标准，而且系统运行稳定，总功耗低，可以实现有效的智能健康监测的目的
References
[1]
13. Koshy A N, Sajeev J, Zureik M, et al. Accuracy of smart watches in arrhythmias: smarts study. Journal of the American college of cardiology. 2017, 69(11): S337.
[2]
14. Morganti E, Angelini L, Adami A, et al. A smart watch with embedded sensors to recognize objects,grasps and forearm gestures. Procedia Engineering, 2012, 41: 1169-1175.
8. Reeder B, David A. Health at hand: A systematic review of smart watch uses for health and wellness. Journal of Biomedical Informatics, 2016, 63(10): 269–276.
[11]
9. Cho J, Lee H E. Contextualization of motivations determining the continuance intention to use smart devices among People with physical disabilities. Telematics and Informatics, 2017, 34(1): 338-350.
[12]
10. Osamu Hataji, Kobayashi T, Esteban C G. Smart watch for monitoring physical activity in patients with chronic obstructive pulmonary disease. Respiratory Investigation, 2016, 54(4): 294-295.
[13]
11. Daryl J W, Ranjit R, Zelma H T. K. Smart watch accelerometry for analysis and diagnosis of tremor. Journal of Neuroscience Methods, 2014, 230: 1-4.
[14]
12. Cheng J W, Mitomo H. The underlying factors of the perceived usefulness of using smart wearable devices for disaster applications. Telematics and Informatics, 2017, 34(2): 528-539.
