Hypoglycemia Alarm Enhancement Using Data Fusion-Reference-Cited by-同舟云学术

Hypoglycemia Alarm Enhancement Using Data Fusion

Published:2010-01 Issue:1 Volume:4 Page:34-40
ISSN:1932-2968
Container-title:Journal of Diabetes Science and Technology
language:en
Short-container-title:J Diabetes Sci Technol

Author:

Skladnev Victor N.¹,Tarnavskii Stanislav¹,McGregor Thomas¹,Ghevondian Nejhdeh¹,Gourlay Steve¹,Jones Timothy W.²³

Affiliation:

1. AiMedics Pty. Ltd., Eveleigh, New South Wales, Australia

2. Telethon Institute for Child Health Research, Centre for Child Health Research, The University of Western Australia, Perth, Western Australia, Australia

3. Department of Endocrinology and Diabetes, Princess Margaret Hospital, Perth, Western Australia, Australia

Publisher

SAGE Publications

Subject

Biomedical Engineering,Bioengineering,Endocrinology, Diabetes and Metabolism,Internal Medicine

Link

http://journals.sagepub.com/doi/pdf/10.1177/193229681000400105

Reference12 articles.

1. The Effect of Intensive Treatment of Diabetes on the Development and Progression of Long-Term Complications in Insulin-Dependent Diabetes Mellitus

2. Open debate on hormone-replacement therapy

3. Can We Really Close the Loop and How Soon? Accelerating the Availability of an Artificial Pancreas: A Roadmap to Better Diabetes Outcomes

4. Reducing false alarm rates for critical arrhythmias using the arterial blood pressure waveform

5. Neural-Network Detection of Hypoglycemic Episodes in Children with Type 1 Diabetes using Physiological Parameters

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Real-Time Weighted Data Fusion Algorithm for Temperature Detection Based on Small-Range Sensor Network;Sensors;2018-12-25

2. Toward Big Data Analytics;Journal of Diabetes Science and Technology;2015-10-14

3. The Degree of Autonomic Modulation Is Associated With the Severity of Microvascular Complications in Patients With Type 1 Diabetes;Journal of Diabetes Science and Technology;2015-01-14

4. Combining Information of Autonomic Modulation and CGM Measurements Enables Prediction and Improves Detection of Spontaneous Hypoglycemic Events;Journal of Diabetes Science and Technology;2014-09-12

5. A Novel Algorithm for Prediction and Detection of Hypoglycemia Based on Continuous Glucose Monitoring and Heart Rate Variability in Patients With Type 1 Diabetes;Journal of Diabetes Science and Technology;2014-03-31