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Wearable Textile Antenna for Glucose Level Monitoring

Ghodake Asha, Hogade Balaji

International Journal of Electronics and Telecommunications

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2023

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Vol. 69, No. 2

219--224

EN

Wearable antennas are becoming increasingly popular as a result of their wide range of applications, including communication, health parameter monitoring, and so on. If the wearable antenna is built of textile material, it is highly comfortable to wear and has numerous benefits, such as light weight, compact size, and low cost. A 1.3 GHz microstrip antenna made from jeans substrate is presented in this work. For antenna conducting patch and ground plane copper material is used. The electromagnetic properties of the jean’s substrate are dielectric constant ℇr = 1.7 and loss tangent tan δ = 0.01. In this work the main purpose or application of this antenna is to observe three levels of glucose, i.e., hypoglycemia, hyperglycemia, and normal glucose. The antenna is placed over the arm in the first scenario, while the finger is placed over the antenna patch in the second case. When the glucose concentration in the blood varies, the blood properties change, and the antenna frequency shifts as a result. [That] This frequency shift is used to find out the three glucose levels. The advantage of jeans substrate is that you can wear this antenna very easily over your arm. The antenna is designed using HFSS software and tested using an arm phantom and a finger phantom designed in HFSS.

2

A proposal of an exo-glove adaptation for Internet of Things applications

Trejderowski Tomasz, Ociepka Grzegorz, Sowa Łukasz, Kozielski Lucjan

Zeszyty Naukowe Wyższej Szkoły Technicznej w Katowicach

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2022

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T. 14

65--76

EN

We are building a prototype of an innovative wearable robotic glove (or exo-glove) for the applications in Internet of Things that will allow us to control remote device over unlimited distance using Internet. Our aim is to use this wireless exo-glove mostly in telemedicine and telemetry applications. This article is an initial presentation of our concept and the prototype.

PL

Niniejszy artykuł stanowi wstępną prezentację koncepcji oraz budowanego prototypu rękawicy sterującej zdalnymi urządzeniami. Planowany prototyp pozwoli na sterowanie nimi na praktycznie nieograniczone odległości, przy pomocy sieci Internet. Naszym celem jest wykorzystanie bezprzewodowej egzo-rękawicy w zastosowaniach z zakresu telemedycyny oraz w rozwiązaniach telemetrycznych.

3

Research into the Textile-Based Signal Lines Made Using Ultrasonic Welding Technology

Leśnikowski Jacek

Autex Research Journal

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2022

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Vol. 22, no. 1

11--17

EN

The article describes research into the transmission properties of textile signal lines (TSLs) made using ultrasonic welding technology. The presented TSLs are made from electroconductive, nickel coated, fabric strips welded between non-conducting textile layers. The article presents an analysis of the usability of the ultrasonic welding method for creating TSLs. This analysis shows that direct welding of an electroconductive path with the substrate increases its linear resistance, making it impossible to create a properly functioning line. This article presents an alternative method of creating the line using ultrasound welding technology.

4

A two-step fall detection algorithm combining threshold-based method and convolutional neural network

Xu Tao, Se Haifeng, Liu Jiahui

Metrology and Measurement Systems

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2021

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Vol. 28, nr 1

23--40

EN

Falls are one of the leading causes of disability and premature death among the elderly. Technical solutions designed to automatically detect a fall event may mitigate fall-related health consequences by immediate medical assistance. This paper presents a wearable device called TTXFD based on MPU6050 which can collect triaxial acceleration signals. We have also designed a two-step fall detection algorithm that fuses threshold-based method (TBM) and machine learning (ML). The TTXFD exploits the TBM stage with low computational complexity to pick out and transmit suspected fall data (triaxial acceleration data). The ML stage of the two-step algorithm is implemented on a server which encodes the data into an image and exploits a fall detection algorithm based on convolutional neural network to identify a fall on the basis of the image. The experimental results show that the proposed algorithm achieves high sensitivity (97.83%), specificity (96.64%) and accuracy (97.02%) on the open dataset. In conclusion, this paper proposes a reliable solution for fall detection, which combines the advantages of threshold-based method and machine learning technology to reduce power consumption and improve classification ability.

5

Wearable sensor for biopotential measurements of patients' health monitoring

Rymarczyk Tomasz, Niderla Konrad, Kania Konrad, Maj Michał, Nita Paweł

Przegląd Elektrotechniczny

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2020

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R. 96, nr 9

99--102

EN

The article presents the concept and prototype of a sensor network for biopotential measurements for long-term and remote tracking of vital signs of patients or athletes. Portable monitoring solutions consist of two basic elements: sensors and a data collection device. In this work, we propose a new type of dry textile electrodes to detect physiological signals that can be an alternative to gelled electrodes. Preliminary ECG measurement results show that after further improvements they can be good candidates for use in intelligent clothing for real applications.

PL

Artykuł przedstawia koncepcję i prototyp sieci czujników do pomiarów biopotencjałów do długoterminowego i zdalnego śledzenie parametrów życiowych pacjentów lub sportowców. Przenośne rozwiązania monitorujące składają się z dwóch podstawowych elementów: czujników i urządzenia do gromadzenia danych. W tej pracy proponujemy nowy rodzaj suchych elektrod tekstylnych do wykrywania sygnałów fizjologicznych, które mogą stanowić alternatywę dla elektrod żelowanych. Wstępne wyniki pomiarów EKG pokazują, że po dalszych ulepszeniach mogą być dobrymi kandydatami do zastosowania w inteligentnej odzieży do rzeczywistych zastosowań.