目的探讨计步器联合电话支持对初发T2DM患者运动量、血糖控制水平以及生活质量的影响。方法将70名初发T2DM患者随机分为对照组和观察组,对照组实施常规糖尿病健康教育,观察组在常规健康教育的基础上实施计步器联合电话支持的干预。干预...目的探讨计步器联合电话支持对初发T2DM患者运动量、血糖控制水平以及生活质量的影响。方法将70名初发T2DM患者随机分为对照组和观察组,对照组实施常规糖尿病健康教育,观察组在常规健康教育的基础上实施计步器联合电话支持的干预。干预3个月后,用计步器、血糖指标(FPG、2 h PG、Hb A1c)和糖尿病生活质量特异性量表评价两组患者在运动量、血糖控制水平和生活质量等方面的差异。结果观察组的累计步数和有效步数较对照组有明显提高,差异有统计学意义(均P<0.05);血糖指标较对照组均有明显改善,差异有统计学意义(均P<0.05);生活质量的心理/精神维度的得分以及生活质量总分低于对照组,差异有统计学意义(均P<0.05)。结论计步器联合电话支持的干预方法可提高初发T2DM患者的运动量,有效改善血糖水平,提高生活质量。展开更多
This paper addresses the problem of channel estimation in 5G-enabled vehicular-to-vehicular(V2V) channels with high-mobility environments and non-stationary feature. Considering orthogonal frequency division multiplex...This paper addresses the problem of channel estimation in 5G-enabled vehicular-to-vehicular(V2V) channels with high-mobility environments and non-stationary feature. Considering orthogonal frequency division multiplexing(OFDM) system, we perform extended Kalman filter(EKF) for channel estimation in conjunction with Iterative Detector & Decoder(IDD) at the receiver to improve the estimation accuracy. The EKF is proposed for jointly estimating the channel frequency response and the time-varying time correlation coefficients. And the IDD structure is adopted to reduce the estimation errors in EKF. The simulation results show that, compared with traditional methods, the proposed method effectively promotes the system performance.展开更多
文摘目的探讨计步器联合电话支持对初发T2DM患者运动量、血糖控制水平以及生活质量的影响。方法将70名初发T2DM患者随机分为对照组和观察组,对照组实施常规糖尿病健康教育,观察组在常规健康教育的基础上实施计步器联合电话支持的干预。干预3个月后,用计步器、血糖指标(FPG、2 h PG、Hb A1c)和糖尿病生活质量特异性量表评价两组患者在运动量、血糖控制水平和生活质量等方面的差异。结果观察组的累计步数和有效步数较对照组有明显提高,差异有统计学意义(均P<0.05);血糖指标较对照组均有明显改善,差异有统计学意义(均P<0.05);生活质量的心理/精神维度的得分以及生活质量总分低于对照组,差异有统计学意义(均P<0.05)。结论计步器联合电话支持的干预方法可提高初发T2DM患者的运动量,有效改善血糖水平,提高生活质量。
基金supported by the National Natural Science Foundation of China (No.61501066,No.61572088,No.61701063)Chongqing Frontier and Applied Basic Research Project (No.cstc2015jcyjA40003,No.cstc2017jcyjAX0026,No.cstc2016jcyjA0209)+1 种基金the Open Fund of the State Key Laboratory of Integrated Services Networks (No.ISN16-03)the Fundamental Research Funds for the Central Universities (No.106112017CDJXY 500001)
文摘This paper addresses the problem of channel estimation in 5G-enabled vehicular-to-vehicular(V2V) channels with high-mobility environments and non-stationary feature. Considering orthogonal frequency division multiplexing(OFDM) system, we perform extended Kalman filter(EKF) for channel estimation in conjunction with Iterative Detector & Decoder(IDD) at the receiver to improve the estimation accuracy. The EKF is proposed for jointly estimating the channel frequency response and the time-varying time correlation coefficients. And the IDD structure is adopted to reduce the estimation errors in EKF. The simulation results show that, compared with traditional methods, the proposed method effectively promotes the system performance.
