Online Dropout Detection in Subcutaneously Implanted Continuous Glucose Monitoring

Quan SHEN; S. Joe QIN; Ken J. DONIGER

doi:10.1109/acc.2010.5530788

Online Dropout Detection in Subcutaneously Implanted Continuous Glucose Monitoring

Quan SHEN, S. Joe QIN^*, Ken J. DONIGER

^*Corresponding author for this work

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Referred Conference Paper › peer-review

12 Citations (Scopus)

Abstract

Continuous glucose monitoring (CGM) can inform diabetic people of the status of their glucose and warn of actual or impending hypo- or hyperglycemia. In the past decades, biosensors have been developed for CGM, among which the subcutaneously implanted glucose monitors are of much interest because they are less painful while quickly measure the critical glucose concentrations in the body. Experiments of these monitors show that there are occasionally spurious dropouts which do not reflect the true glucose level and will cause problems in glucose calibration. In this paper, a discrete wavelet transform (DWT) based online detector is proposed to detect dropouts for a single glucose sensor signal. Its effectiveness is demonstrated by both experimental data from the non-diabetic pig and clinical data from people. © 2010 AACC.

Original language	English
Title of host publication	Proceedings of the 2010 American Control Conference
Publisher	Institute of Electrical and Electronics Engineers
Pages	4373-4378
Number of pages	6
ISBN (Electronic)	9781424474271
ISBN (Print)	9781424474264
DOIs	https://doi.org/10.1109/acc.2010.5530788
Publication status	Published - Jun 2010
Externally published	Yes
Event	2010 American Control Conference, ACC 2010 - Baltimore, United States Duration: 30 Jun 2010 → 2 Jul 2010

Publication series

Name	Proceedings of the American Control Conference
Publisher	Institute of Electrical and Electronics Engineers
ISSN (Print)	0743-1619
ISSN (Electronic)	2378-5861

Conference

Conference	2010 American Control Conference, ACC 2010
Country/Territory	United States
City	Baltimore
Period	30/06/10 → 2/07/10

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/acc.2010.5530788

Cite this

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title = "Online Dropout Detection in Subcutaneously Implanted Continuous Glucose Monitoring",

abstract = "Continuous glucose monitoring (CGM) can inform diabetic people of the status of their glucose and warn of actual or impending hypo- or hyperglycemia. In the past decades, biosensors have been developed for CGM, among which the subcutaneously implanted glucose monitors are of much interest because they are less painful while quickly measure the critical glucose concentrations in the body. Experiments of these monitors show that there are occasionally spurious dropouts which do not reflect the true glucose level and will cause problems in glucose calibration. In this paper, a discrete wavelet transform (DWT) based online detector is proposed to detect dropouts for a single glucose sensor signal. Its effectiveness is demonstrated by both experimental data from the non-diabetic pig and clinical data from people. {\textcopyright} 2010 AACC.",

author = "Quan SHEN and QIN, {S. Joe} and DONIGER, {Ken J.}",

year = "2010",

month = jun,

doi = "10.1109/acc.2010.5530788",

language = "English",

isbn = "9781424474264",

series = "Proceedings of the American Control Conference",

publisher = "Institute of Electrical and Electronics Engineers",

pages = "4373--4378",

booktitle = "Proceedings of the 2010 American Control Conference",

note = "2010 American Control Conference, ACC 2010 ; Conference date: 30-06-2010 Through 02-07-2010",

}

SHEN, Q, QIN, SJ & DONIGER, KJ 2010, Online Dropout Detection in Subcutaneously Implanted Continuous Glucose Monitoring. in Proceedings of the 2010 American Control Conference., 5530788, Proceedings of the American Control Conference, Institute of Electrical and Electronics Engineers, pp. 4373-4378, 2010 American Control Conference, ACC 2010, Baltimore, Maryland, United States, 30/06/10. https://doi.org/10.1109/acc.2010.5530788

Online Dropout Detection in Subcutaneously Implanted Continuous Glucose Monitoring. / SHEN, Quan; QIN, S. Joe; DONIGER, Ken J.
Proceedings of the 2010 American Control Conference. Institute of Electrical and Electronics Engineers, 2010. p. 4373-4378 5530788 (Proceedings of the American Control Conference).

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Referred Conference Paper › peer-review

TY - GEN

T1 - Online Dropout Detection in Subcutaneously Implanted Continuous Glucose Monitoring

AU - SHEN, Quan

AU - QIN, S. Joe

AU - DONIGER, Ken J.

PY - 2010/6

Y1 - 2010/6

N2 - Continuous glucose monitoring (CGM) can inform diabetic people of the status of their glucose and warn of actual or impending hypo- or hyperglycemia. In the past decades, biosensors have been developed for CGM, among which the subcutaneously implanted glucose monitors are of much interest because they are less painful while quickly measure the critical glucose concentrations in the body. Experiments of these monitors show that there are occasionally spurious dropouts which do not reflect the true glucose level and will cause problems in glucose calibration. In this paper, a discrete wavelet transform (DWT) based online detector is proposed to detect dropouts for a single glucose sensor signal. Its effectiveness is demonstrated by both experimental data from the non-diabetic pig and clinical data from people. © 2010 AACC.

AB - Continuous glucose monitoring (CGM) can inform diabetic people of the status of their glucose and warn of actual or impending hypo- or hyperglycemia. In the past decades, biosensors have been developed for CGM, among which the subcutaneously implanted glucose monitors are of much interest because they are less painful while quickly measure the critical glucose concentrations in the body. Experiments of these monitors show that there are occasionally spurious dropouts which do not reflect the true glucose level and will cause problems in glucose calibration. In this paper, a discrete wavelet transform (DWT) based online detector is proposed to detect dropouts for a single glucose sensor signal. Its effectiveness is demonstrated by both experimental data from the non-diabetic pig and clinical data from people. © 2010 AACC.

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DO - 10.1109/acc.2010.5530788

M3 - Conference paper (refereed)

SN - 9781424474264

T3 - Proceedings of the American Control Conference

SP - 4373

EP - 4378

BT - Proceedings of the 2010 American Control Conference

PB - Institute of Electrical and Electronics Engineers

T2 - 2010 American Control Conference, ACC 2010

Y2 - 30 June 2010 through 2 July 2010

ER -

Online Dropout Detection in Subcutaneously Implanted Continuous Glucose Monitoring

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UN SDGs

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