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| 一种高能效的OSAS手机监护系统 |
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高睿鹏1, 杨丽琼1, 吴欣宇1, 王韬1,2, 吕松武1,2,3, 韩芳4
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1.北京大学 信息科学技术学院 高能效计算与应用中心,北京 100871;2.北京大学-UCLA 联合理工研究所,北京 100871;3.Computer Science Department, University of California at Los Angeles, Los Angeles, USA;4.北京大学人民医院 呼吸科,北京 100044
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| 摘要: |
| 阻塞性睡眠呼吸暂停综合症(obstructive sleep apnea syndrome,简称OSAS)是一种最常见的睡眠呼吸紊乱病征,鉴于其对人体健康的危害,医学上需要对患者进行长期的监测.然而,目前医院OSAS监测设备用户体验较差并且人力物力消耗很大,因此提出了基于智能手机的家庭电子医疗系统,以实现OSAS随时随地的监测.重点对该系统的能耗问题进行测量分析并建模优化,利用蓝牙低功耗模式改善系统能耗瓶颈,系统使用时间提高了50%以上.与传统的蓝牙模式切换方法相比,所提出的基于智能手机的蓝牙控制算法提升了系统通用性及可扩展性,并为实现系统全局低能耗而进行的存储、传输、计算负载均衡调度提供了技术支持. |
| 关键词: 阻塞性睡眠呼吸暂停 电子医疗 智能手机 便携性 高能效 负载均衡 |
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| 基金项目:“十二五”国家科技支撑计划(2012BAI05B02); 北大基伍云计算联合研发项目 |
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| Phone-Based Energy-Efficient OSAS Monitoring System |
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GAO Rui-Peng,YANG Li-Qiong,WU Xin-Yu,WANG Tao,Lü Song-Wu,HAN Fang
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1.Center for Energy-Efficient Computing and Applications, School of Electronics Engineering and Computer Science, Peking University, Beijing 100871, China;2.Joint Research Institute in Science and Engineering by Peking University and UCLA, Beijing 100871, Chi;3.Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, Beijing 100044, China
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| Abstract: |
| Obstructive Sleep Apnea Syndrome (OSAS) is the most common sleep-disordered breathing disease. Considering its severe effect on human health, long-term monitoring is necessary. However, the current OSAS monitoring systems require patients to stay in the hospital overnight and need considerable amount of wiring around the human body. This paper proposes a smartphone-based, wireless e-health system designed for OSAS, which offers anytime and anywhere monitoring. The study focuses on the energy issues of this battery-driven system, and makes full use of the low-power mode of Bluetooth, which has been proven to be the energy bottleneck, resulting in 50% increase of system lifetime. Compared with current methods for Bluetooth mode switch, this proposal, implemented on smartphone, improves system versatility and expandability, and provides technical support for holistic energy-saving approach based on load balancing among data storage, transmission and computation. |
| Key words: OSAS e-health smartphone portable energy-efficient load balancing |
