Atmospheric Pressure Effects on Glucose Monitoring Devices

Current Continuous Glucose Monitors (CGM) exhibit increased estimation error during periods of aerobic physical activity. The use of readily-available exercise monitoring devices opens new possibilities for accuracy enhancement during these periods. The viability of an array of physical activity signals provided by three different wearable devices was considered. Linear regression models were used in this work to evaluate the correction capabilities of each of the wearable signals and propose a model for CGM correction during exercise. A simple two-input model can reduce CGM error during physical activity (17.46% vs. 13.8%, p < 0.005) to the magnitude of the baseline error level (13.61%). The CGM error is not worsened in periods without physical activity. The signals identified as optimal inputs for the model are “Mets” (Metabolic Equivalent of Tasks) from the Fitbit Charge HR device, which is a normalized measurement of energy expenditure, and the skin temperature reading provided by the Microsoft Band 2 device. A simpler one-input model using only “Mets” is also viable for a more immediate implementation of this correction into market devices.

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Analysis of long-term observations of the groundwater level In an aseismic region

Физика земли ◽

10.31857/s0002-33372019247-67 ◽

2019 ◽

pp. 47-67

Author(s):

A. A. Lyubushin ◽

O. S. Kazantseva ◽

A. B. Manukin

Keyword(s):

Time Series ◽

Groundwater Level ◽

Atmospheric Pressure ◽

Active Regions ◽

Sampling Interval ◽

Pressure Effects ◽

Adaptive Compensation ◽

Groundwater Level Fluctuations ◽

And Cluster Analysis

The results of the analysis of continuous precise time series of atmospheric pressure and groundwater level fluctuations in a well drilled to a depth of 400 m in the territory of Moscow are presented. The observations are remarkable in terms of their duration of more than 22 years (from February 2, 1993 to April 4, 2015) and by the sampling interval of 10 min. These long observations are suitable for exploring the stationarity of the properties of hydrogeological time series in a seismically quiet region, which is important from the methodological standpoint for interpreting the similar observations in seismically active regions aimed at earthquake prediction. Factor and cluster analysis applied to the sequence of multivariate vectors ofthe statistical properties of groundwater level time series in the successive 10-day windows after adaptive compensation for atmospheric pressure effects distinguish five different statistically significant states of the time series with the transitions between them. An attempt to geophysically interpret the revealed states is made. Two significant periods – 46 and 275 days – are established by spectral analysis of the sequence of the transitions times between the clusters.

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Wavelet filter analysis of local atmospheric pressure effects on gravity variations

Journal of Geodesy ◽

10.1007/s00190-005-0486-6 ◽

2005 ◽

Vol 79 (8) ◽

pp. 447-459 ◽

Cited By ~ 17

Author(s):

X.-G Hu ◽

L.-T Liu ◽

J. Hinderer ◽

H.-P Sun

Keyword(s):

Atmospheric Pressure ◽

Pressure Effects ◽

Wavelet Filter ◽

Gravity Variations ◽

Filter Analysis

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Remote Patient Monitoring in Diabetes: How to Acquire, Manage, and Use All of The Data

Diabetes Spectrum ◽

10.2337/dsi21-0015 ◽

2022 ◽

Author(s):

Eric L. Johnson ◽

Eden Miller

Keyword(s):

Health Care Providers ◽

Glucose Monitoring ◽

Successful Implementation ◽

Care Providers ◽

Remote Patient Monitoring ◽

Digital Devices ◽

Diabetes Technology ◽

Acquisition Management ◽

Remote Patient ◽

Monitoring Devices

The ability of patients and health care providers to use various forms of technology for general health has significantly increased in the past several years with the expansion of telehealth, digital applications, personal digital devices, smartphones, and other Internet-connected platforms and devices. For individuals with diabetes, this also includes connected blood glucose meters, continuous glucose monitoring devices, and insulin delivery systems. In this article, the authors outline several steps to facilitate the acquisition, management, and meaningful use of digital diabetes data that can enable successful implementation of both diabetes technology and telehealth services in primary care clinics.

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Glucose Monitoring Devices

10.1016/c2018-0-00515-0 ◽

2020 ◽

Keyword(s):

Glucose Monitoring ◽

Monitoring Devices

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Caution is required for the evaluation of the accuracy of continuous glucose monitoring devices

Journal of Diabetes Investigation ◽

10.1111/jdi.13149 ◽

2019 ◽

Vol 11 (1) ◽

pp. 255-255 ◽

Cited By ~ 1

Author(s):

Yushi Hirota ◽

Masao Toyoda ◽

Takashi Murata ◽

Junnosuke Miura

Keyword(s):

Continuous Glucose Monitoring ◽

Glucose Monitoring ◽

Monitoring Devices

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Self-monitoring Blood Glucose (SMBG): Now and the Future

Journal of Pharmacy Practice ◽

10.1177/0897190003261306 ◽

2004 ◽

Vol 17 (1) ◽

pp. 29-38 ◽

Cited By ~ 13

Author(s):

Amber L. Briggs ◽

Susan Cornell

Keyword(s):

Blood Glucose ◽

Glucose Control ◽

Microvascular Complications ◽

Blood Glucose Control ◽

Glucose Monitoring ◽

The United States ◽

Blood Glucose Monitoring ◽

Self Monitoring ◽

State Management ◽

Monitoring Devices

In 2002, the cost of diabetes in the United States reached $132 billion. There is a well-established relationship between blood glucose control and the risk of diabetes-related complications. Tight blood glucose control, through intensive diabetes therapy, reduces the risk and delays the onset of diabetesrelated microvascular complications. Regular and consistent self-monitoring of blood glucose (SMBG) is and should be a part of all diabetes disease state management programs. Pharmacists can truly increase the numbers of patients who use SMBG by being aware and familiar with the monitoring devices available to patients and identifying the physical and psychological issues surrounding SMBG. Results from SMBG and hemoglobin A1C are the basis formost of the medical decisions made for patients with diabetes. This review discusses the best time for patients to test their blood glucose, information regarding blood glucose monitoring devices, alternative site testing, and the newest technology available in glucose monitoring.

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