Wearable devices become popular because they can help people observe health condition.The battery life is the critical problem for wearable devices. The non-volatile memory(NVM) attracts attention in recent years beca...Wearable devices become popular because they can help people observe health condition.The battery life is the critical problem for wearable devices. The non-volatile memory(NVM) attracts attention in recent years because of its fast reading and writing speed, high density, persistence, and especially low idle power. With its low idle power consumption,NVM can be applied in wearable devices to prolong the battery lifetime such as smart bracelet. However, NVM has higher write power consumption than dynamic random access memory(DRAM). In this paper, we assume to use hybrid random access memory(RAM)and NVM architecture for the smart bracelet system.This paper presents a data management algorithm named bracelet power-aware data management(BPADM) based on the architecture. The BPADM can estimate the power consumption according to the memory access, such as sampling rate of data, and then determine the data should be stored in NVM or DRAM in order to satisfy low power. The experimental results show BPADM can reduce power consumption effectively for bracelet in normal and sleeping modes.展开更多
目的探讨运动手环在老年人结肠镜检查肠道准备中的应用价值。方法选择2017年2~7月中国人民解放军福州总医院门诊行结肠镜检查的老年患者(≥60岁)120例,按随机数字表法分为试验组和对照组,各60例。两组患者给予相同的饮食建议,肠道准备...目的探讨运动手环在老年人结肠镜检查肠道准备中的应用价值。方法选择2017年2~7月中国人民解放军福州总医院门诊行结肠镜检查的老年患者(≥60岁)120例,按随机数字表法分为试验组和对照组,各60例。两组患者给予相同的饮食建议,肠道准备均选择聚乙二醇电解质散(PEG)等渗溶液3 L分次服用方案,检查前1天晚,服用1.5 L PEG(每10~15 min服用250 m L),当天检查前4~6 h,再以同样方式服用其余1.5 L。PEG服药期间,均鼓励适当走动。试验组要求每服用250 m L,至少走动200步以上,如条件允许,鼓励再增加走动;对照组按照现行肠道准备指南中意见,不做具体步数限制,只是鼓励适当走动。两组患者均佩戴运动手环监测服药期间走动步数,观察肠道准备过程中服药耐受情况,运用波士顿肠道准备量表(BBPS)评估结肠镜检查过程中肠道清洁质量。结果试验组服药期间走动步数、BBPS评分及肠道准备充分率(91.7%比76.7%)均高于对照组,差异有统计学意义(P<0.05);服药相关恶心、呕吐、腹胀、腹痛等不良反应的发生率均低于对照组,差异有统计学意义(P<0.05)。Pearson相关分析显示,BBPS评分与服药期间走动步数呈正相关(r=0.547,P<0.05)。结论通过运动手环监测老年人结肠镜检查肠道准备服药期间行走情况,可以量化步行运动,提高肠道准备质量和耐受性。展开更多
基金supported by the Research Fund of National Key Laboratory of Computer Architecture under Grant No.CARCH201501the Open Project Program of the State Key Laboratory of Mathematical Engineering and Advanced Computing under Grant No.2016A09
文摘Wearable devices become popular because they can help people observe health condition.The battery life is the critical problem for wearable devices. The non-volatile memory(NVM) attracts attention in recent years because of its fast reading and writing speed, high density, persistence, and especially low idle power. With its low idle power consumption,NVM can be applied in wearable devices to prolong the battery lifetime such as smart bracelet. However, NVM has higher write power consumption than dynamic random access memory(DRAM). In this paper, we assume to use hybrid random access memory(RAM)and NVM architecture for the smart bracelet system.This paper presents a data management algorithm named bracelet power-aware data management(BPADM) based on the architecture. The BPADM can estimate the power consumption according to the memory access, such as sampling rate of data, and then determine the data should be stored in NVM or DRAM in order to satisfy low power. The experimental results show BPADM can reduce power consumption effectively for bracelet in normal and sleeping modes.
文摘目的探讨运动手环在老年人结肠镜检查肠道准备中的应用价值。方法选择2017年2~7月中国人民解放军福州总医院门诊行结肠镜检查的老年患者(≥60岁)120例,按随机数字表法分为试验组和对照组,各60例。两组患者给予相同的饮食建议,肠道准备均选择聚乙二醇电解质散(PEG)等渗溶液3 L分次服用方案,检查前1天晚,服用1.5 L PEG(每10~15 min服用250 m L),当天检查前4~6 h,再以同样方式服用其余1.5 L。PEG服药期间,均鼓励适当走动。试验组要求每服用250 m L,至少走动200步以上,如条件允许,鼓励再增加走动;对照组按照现行肠道准备指南中意见,不做具体步数限制,只是鼓励适当走动。两组患者均佩戴运动手环监测服药期间走动步数,观察肠道准备过程中服药耐受情况,运用波士顿肠道准备量表(BBPS)评估结肠镜检查过程中肠道清洁质量。结果试验组服药期间走动步数、BBPS评分及肠道准备充分率(91.7%比76.7%)均高于对照组,差异有统计学意义(P<0.05);服药相关恶心、呕吐、腹胀、腹痛等不良反应的发生率均低于对照组,差异有统计学意义(P<0.05)。Pearson相关分析显示,BBPS评分与服药期间走动步数呈正相关(r=0.547,P<0.05)。结论通过运动手环监测老年人结肠镜检查肠道准备服药期间行走情况,可以量化步行运动,提高肠道准备质量和耐受性。
