scholarly journals Investigation on Insulated, Brain-Implanted Antenna for Highly Reliable Biotelemetry Communication in MICS and ISM Bands

Sensors ◽  
2019 ◽  
Vol 20 (1) ◽  
pp. 242
Author(s):  
Geonyeong Shin ◽  
Ick-Jae Yoon

We derived a closed-form expression of the maximum power transfer efficiency (MPTE) between a transmitting antenna inside the brain and a receiving antenna outside the head using spherical wave expansion. The derived expression was validated using a FEKO simulation. The properties of the insulator and radiation mode were analyzed in each available medical implant communications service (MICS) and industrial, scientific and medical (ISM) band as a means of increasing the reliability of wireless biotelemetry implementation. Some interesting preceding results in the literature were revisited with the figure-of-merit MPTE. It was also newly found that the effect on MPTE by the physical size and material properties of the insulator in both transverse magnetic (TM) and transverse electric (TE) mode decreases for 2.4 GHz and 5.8 GHz and the loss of the insulator does not have a severe impact on MPTE once the dielectric constant is greater than a certain value. This work can be used as an implanted-antenna design guide for building reliable biotelemetry communication.

2020 ◽  
Vol 14 (13) ◽  
pp. 1504-1513
Author(s):  
Carlo Olivieri ◽  
Francesco de Paulis ◽  
Antonio Orlandi ◽  
Federico Centola ◽  
Gregory Sizikov

Author(s):  
K. Akanksha

Radar is a detection system that uses radio waves to determine the range, angle or velocity of objects. It can be used to detect aircraft, ships, spacecraft, guided missiles, motor vehicles, weather formations, and terrain. A radar system consist of a transmitting antenna, a receiving antenna (often same antenna is used for transmitting and receiving) and a receiver and process to determine properties of the objects. In our project we are detecting the target position of the obstacles that come in our way be it in military, aircrafts, ships, clouds, etc. using MATLAB. Using MATLAB, you can: analyze data, develop algorithms, create models and applications. The language, apps, and build in math functions enable you to quickly explore multiple approaches to arrive at a solution. Using MATLAB and Simulink we are doing radar visualizer.


Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Matthew L Flaherty ◽  
Joseph Korfhagen ◽  
George J Shaw ◽  
Opeolu Adeoye ◽  
William Knight

Introduction: Intracerebral hemorrhage (ICH) is a devastating form of stroke. Hemorrhage expansion after ICH occurs in ~40% of patients and leads to worse outcomes. Currently, ICH patients are monitored for hemorrhage expansion by neurologic exam and head CT. CT studies are a source of radiation exposure and can require transporting the patient out of the ICU. There is a clinical need for a non-invasive bedside monitor of ICH. Methods: A radiofrequency based monitor (RFM) was developed as a non-invasive method to monitor ICH at the bedside. The RFM consists of a 9-antenna array mounted around the head, cables, and driving electronics. A 913 MHz signal is transmitted from a given antenna, crosses the brain, and is received by the remaining 8 antennae. A complete measurement consists of one cycle with all antenna serving as the transmitting antenna. As the signal traverses the brain, it is partially scattered and absorbed by the ICH, thus changing the signal at the receiving antennae. The altered signal can be compared to signals at earlier times to detect changes induced by ICH expansion. Based upon pre-clinical work it was hypothesized that ICH expansion of ≥3 ml would be detected by the RFM. The RFM device was approved for human study under an IDE from the FDA. The device was tested on 10 ICH subjects admitted within 24 hours of stroke onset. All subjects received a baseline head CT and a repeat head CT at 12 (+/- 6) hours. ICH volumes were determined by a blinded neuroradiologist. Subjects were scanned with the device every 10 minutes. Results: Data from one subject was lost due to user error. Among the remaining nine, two experienced hemorrhage expansion of ≥ 3ml (3 and 8.2 ml respectively). The RFM readings were 100% concordant with CT scans in identifying presence and absence of hemorrhage expansion. The figure shows monitor readings from a subject with expansion. Conclusion: The RFM may be useful in detection of real-time hemorrhage expansion in ICH patients. A pivotal clinical study is planned.


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