Paper Info
Title
Induction of Inflammation In Vivo by Electrocardiogram Sensor Operation Using Wireless Power Transmission.
Abstract
Prolonged monitoring by cardiac electrocardiogram (ECG) sensors is useful for patients with emergency heart conditions. However, implant monitoring systems are limited by lack of tissue biocompatibility. Here, we developed an implantable ECG sensor for real-time monitoring of ventricular fibrillation and evaluated its biocompatibility using an animal model. The implantable sensor comprised transplant sensors with two electrodes, a wireless power transmission system, and a monitoring system. The sensor was inserted into the subcutaneous tissue of the abdominal area and operated for 1 h/day for 5 days using a wireless power system. Importantly, the sensor was encapsulated by subcutaneous tissue and induced angiogenesis, inflammation, and phagocytosis. In addition, we observed that the levels of inflammation-related markers increased with wireless-powered transmission via the ECG sensor; in particular, levels of the Th-1 cytokine interleukin-12 were significantly increased. The results showed that induced tissue damage was associated with the use of wireless-powered sensors. We also investigated research strategies for the prevention of adverse effects caused by lack of tissue biocompatibility of a wireless-powered ECG monitoring system and provided information on the clinical applications of inflammatory reactions in implant treatment using the wireless-powered transmission system.
Year
DOI
Venue
2017
10.3390/s17122905
SENSORS
Keywords
Field
DocType
biocompatibility,electrocardiogram,implantable sensor,wireless power
Biomedical engineering,Biocompatibility,Wireless,Ventricular fibrillation,Implant,In vivo,Subcutaneous tissue,Electronic engineering,Engineering,Inflammation,Electrocardiography
Journal
Volume
Issue
ISSN
17
12.0
1424-8220
Citations 
PageRank 
References 
0
0.34
2
Authors
5
Name
Order
Citations
PageRank
Jin-Chul Heo100.68
Kim, Beomjoon211616.59
Yoon-Nyun Kim300.34
Dae-Kwang Kim400.34
Jong-Ha Lee512.07