Glucose Monitoring in Individuals With Diabetes Using a Long-Term Implanted Sensor/Telemetry System and Model

Lucisano, Joseph Y.; Routh, Timothy L.; Lin, Joe T.; Gough, David

doi:10.1109/tbme.2016.2619333

Cited by 92 publications

(47 citation statements)

References 29 publications

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“…Moreover, the successive accumulation of H 2 O 2 in the reaction would result in electrode poisoning and the leakage would stimulate surrounding tissue [5,29,33]. An oxygen regeneration system prepared by immobilizing both GOD and Cat on sensing surface was proposed by Lucisano and Takashi et al [30,31]. H 2 O 2 can be rapidly decomposed, which generates oxygen when Cat is sufficient; the influence of oxygen deficiency can be partly relieved because the oxygen demand is halved.…”

Section: Discussionmentioning

confidence: 99%

“…However, PU provides a diffusion barrier to glucose and limits the outer diffusion rate of H 2 O 2 , which is correlated to sensor sensitivity [29]. Due to the strong turnover rate of Cat to H 2 O 2 , using Cat on ampere electrode can eliminate the accumulation of H 2 O 2 in GOD and replenish oxygen, thereby ameliorating oxygen deficiency and ensuring the sufficient sensitivity to glucose [30][31][32]. However, immobilization of Cat on the same sensing plane restricts glucose reacting dose, and decreases GOD quantity [33].…”

Section: Introductionmentioning

confidence: 99%

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Design of a Sandwich Hierarchically Porous Membrane with Oxygen Supplement Function for Implantable Glucose Sensor

et al. 2020

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This study aims to develop an oxygen regeneration layer sandwiched between multiple porous polyurethanes (PU) to improve the performance of implantable glucose sensors. Sensors were prepared by coating electrodes with platinum nanoparticles, Nafion, glucose oxidase and sandwich hierarchically porous membrane with an oxygen supplement function (SHPM-OS). The SHPM-OS consisted of a hierarchically porous structure synthesized by polyethylene glycol and PU and a catalase (Cat) layer that was coated between hierarchical membranes and used to balance the sensitivity and linearity of glucose sensors, as well as reduce the influence of oxygen deficiency during monitoring. Compared with the sensitivity and linearity of traditional non-porous (NO-P) sensors (35.95 nA/mM, 0.9987, respectively) and single porous (SGL-P) sensors (45.3 nA /mM, 0.9610, respectively), the sensitivity and linearity of the SHPM-OS sensor was 98.45 nA/mM and 0.9989, respectively, which was more sensitive with higher linearity. The sensor showed a response speed of five seconds and a relative sensitivity of 90% in the first 10 days and remained 78% on day 20. This sensor coated with SHPM-OS achieved rapid responses to changes of glucose concentration while maintaining high linearity for long monitoring times. Thus, it may reduce the difficulty of back-end hardware module development and assist with effective glucose self-management for people with diabetes.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Design of a Sandwich Hierarchically Porous Membrane with Oxygen Supplement Function for Implantable Glucose Sensor

et al. 2020

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“…Consider, as energy factor in which energy sourced nodes have greater nodes than remaining nodes in network. The value can be provided as in Equation given below [14]: [14] The simplified form of equation for constant can be given as below. For constant computation, the Equation can be simplified as in Equation [15]; [15] Hence, the heterogeneity attained due to optimal energy consumption or energy gain by the nodes using energy sourced nodes in the network is computed effectively.…”

Section: Considermentioning

confidence: 99%

Modelling an Adaptive Cluster Head Positioning Based Map Reducing Strategy for Data Transmission in Medical IoT

2019

IJEAT

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Internet-of-things (IoT) based health monitoring systems have turned out to be an interesting topic to enhance quality of health care services. Moreover, there is no advanced IoT based continuous monitoring of glucose systems in real time and some prevailing techniques have numerous limitations. Here, a continuous and invasive glucose monitoring system for transmitting the condition of individuals simultaneously utilizing IoT is modelled and a general system architectural design for processing back end systems to provide body temperature, real time glucose and contextual data in human readable and graphical forms to the physicians or patients is anticipated. As well, a protocol designs for monitoring the continuous data from IoT devices in order to overcome the short comings of existing methods is provided. The design of an energy efficient routing algorithm is a hot topic in the research of IoT based Data mining. Cluster Heads (CH) form backbone of inter-cluster communication. The selection of reliable and efficient cluster head is another important issue. In most of the clustering process, failure of CH occurs due to energy depletion and if the distance between sink and CH is more, it ultimately leads to failure in transmission. During transmission, nodes may fail that means sudden energy loss or node gets out of coverage. Due to relaying high data traffic, some of nodes quickly exhaust their energy and increase the risk of node failure. As a baseline to node failure, data packet loss also occurs in a CH due to congestion and poor link quality. Hence, one of the most crucial feature in designing a protocol is to minimize energy consumption for betterment of network functioning. Here, a clustering routing protocol based on data mining techniques is applied for sensor nodes in medical field called Adaptive Positioning of Cluster Head based Map reducing (APCH-MR) is proposed. Routing table based code book is generated for privacy concern, in which the process of mapping and reducing the data for dissemination is performed. The simulated outcomes depicts that the total number of packets transmitted in round 500 is 11200, total number of dead nodes during round 500 is 58, and time consumed by nodes at 500 rounds is 0.3751s respectively. The proposed method shows better trade off in contrast to conventional techniques.

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“…The most common way to monitoring diabetes consists of monitoring glucose level in the blood. Glucose sensors can be implanted under local anesthesia in abdominal tissue [54]. In order to avoid the implanting, innovative non-invasive techniques have been introduced.…”

Section: B Diabetes Sensorsmentioning

confidence: 99%

E-health-IoT Universe: A Review

Scarpato¹,

Pieroni²,

Nunzio³

et al. 2017

International Journal on Advanced Science, Engineering and Information Technology

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The Internet of Things (IoT) devices are able to collect and share data directly with other devices through the cloud environment, providing a huge amount of information to be gathered, stored and analyzed for data-analytics processes. The scenarios in which the IoT devices may be useful are amazing varying, from automotive, to industrial automation or remote monitoring of domestic environment. Furthermore, has been proved that healthcare applications represent an important field of interest for IoT devices, due to the capability of improving the access to care, reducing the cost of healthcare and most importantly increasing the quality of life of the patients. In this paper, we analyze the state-of-art of IoT in medical environment, illustrating an extended range of IoT-driven healthcare applications that, however, still need innovative and high technology-based solutions to be considered ready to market. In particular, problems regarding characteristics of response-time and precision will be examined. Furthermore, wearable and energy saving properties will be investigated in this paper and also the IT architectures able to ensure security and privacy during the all data-transmission process. Finally, considerations about data mining applications, such as risks prediction, classification and clustering will be provided, that are considered fundamental issues to ensure the accuracy of the care processes.

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Glucose Monitoring in Individuals With Diabetes Using a Long-Term Implanted Sensor/Telemetry System and Model

Cited by 92 publications

References 29 publications

Design of a Sandwich Hierarchically Porous Membrane with Oxygen Supplement Function for Implantable Glucose Sensor

Design of a Sandwich Hierarchically Porous Membrane with Oxygen Supplement Function for Implantable Glucose Sensor

Modelling an Adaptive Cluster Head Positioning Based Map Reducing Strategy for Data Transmission in Medical IoT

E-health-IoT Universe: A Review

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