How to search?
advanced search

Search results

Filters

  • Journals
  • Authors
  • Keywords
  • Date
  • Type

Search results

Number of results: 7
items per page: 25 50 75
Sort by:

Wearable Textile Antenna for Glucose Level Monitoring

Asha Ghodake Balaji Hogade
International Journal of Electronics and Telecommunications | 2023 | vol. 69 | No 2 | 219-224 | DOI: 10.24425/ijet.2023.144353
Keywords wearable textile microstrip hypoglycemia frequency shift phantom
Download PDF Download RIS Download Bibtex

Abstract

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 ẟ = 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.
Go to article

Authors and Affiliations

Asha Ghodake
1
Balaji Hogade
1
  1. Terna Engineering College, University of Mumbai, India

Miniaturized Wearable Fractal Patch Antenna for Body Area Network Applications

Vikas Jain Balwinder Singh Dhaliwal
International Journal of Electronics and Telecommunications | 2021 | vol. 67 | No 2 | 149-154 | DOI: 10.24425/ijet.2021.135957
Keywords biomedical body area network conformal fractal wearable antenna
Download PDF Download RIS Download Bibtex

Abstract

This article presents the design of a miniaturized wearable patch antenna to be utilized for the body area network (BAN) applications. To reduce the size of the antenna a crown fractal geometry antenna design technique has been adopted, and which resulted in a size reduction of 26.85%. Further, the polyester cloth has been used as the substrate of the antenna to make the proposed antenna a flexible one, and suitable for wearable biomedical devices. The designed antenna functions for the 2.45 GHz ISM band and has the gain and bandwidth of 4.54 dB and 131 MHz respectively, covering the entire ISM band. The antenna characteristics like return loss (S11), directivity and radiation pattern have been simulated and analyzed. Specific absorption rate (SAR) and front to back ratio (FBR) of the proposed antenna at the human body tissue model (HBTM) in the planer and different bending conditions of the antenna have also simulated and analyzed, and the proposed antenna fulfils the desired design standards.
Go to article

Bibliography

[1] S. Sindhu, S. Vashisth and S. K. Chakarvati., “A review on wireless body area network (WBAN) for health monitoring system: Implementatioeen protocols,” Communications on Applied Electronics, vol. 4, no. 7, pp. 16-20, Mar. 2016. [2] A. Amsaveni, M. Bharathi and J. N. Swaminathan, "Design and performance analysis of low SAR hexagonal slot antenna using cotton substrate,” Microsystems Technologies, vol. 25, no.6, pp. 2273-2278, Jun. 2019. [3] F. N. Giman, P. J. Soh, M. F. Jamlos, H. Lago, A. A. Al-Hadi and M. A. N. Abdulaziz, “Conformal dual-band textile antenna with metasurface for WBAN application,” Applied Physics A, vol. 123, no. 1, pp. 32 (1-7), Jan. 2017. [4] N. F. M. Aun, P. J. Soh, M. F. Jamlos, H. Lago and A. A. Al-Hadi, “A wideband rectangular-ring textile antenna integrated with corner-notched artificial magnetic conductor (AMC) plane,” Applied Physics A, vol.123, no.1, pp. 19 (1-6), Jan. 2017. [5] B. S. Dhaliwal, S. S. Pattnaik, “BFO-ANN ensemble hybrid algorithm to design compact fractal antenna for rectenna system,” Neural Computing and Applications, vol. 28, no 1, pp. 917-928, Dec. 2017. [6] C. A. Balanis, “Antenna Theory: Analysis and Design,” 2nd ed., Singapore: Wiley, 2005. [7] J. G. Joshi, S. S. Pattnaik and S. Devi, “Metamaterial embedded wearable rectangular microstrip patch antenna,” International Journal of Antennas and Propagation, vol. 2012, pp. 1-9, Sep. 2012. [8] S. Roy and U. Chakraborty, “Metamaterial based dual wideband wearable antenna for wireless applications,” Wireless Personal Communications, vol. 106, no. 3, pp. 1117-1133, Jun. 2019. [9] E. Thangaselvi and K. Meena alias Jeyanthi, “Implementation of flexible denim nickel copper rip stop textile antenna for medical application,” Cluster Computing, vol.22, no. 1, pp. 635-645, Feb. 2018. [10] M. P. Joshi, J. G. Joshi and S. S. Pattnaik, “Hexagonal slotted wearable microstrip patch antenna for body area network, IEEE Pune Section International Conference, 18-20 Dec. 2019. [11] A. Amsaveni, M. Bharathi and J. N. Swaminathan, “Design and performance analysis of low SAR hexagonal slot antenna using cotton substrate,” Microsystem Technologies, vol. 25, no. 6, pp. 2273-2278, Jun. 2019. [12] E. A. Mohammad, A. Hasliza, H. A. Rahim, P. J. Soh, M. F. Jamlos, M. Abdulmalek and Y. S. Lee, “Dual-band circularly polarized textile antenna with split-ring slot for off-body 4G LTE and WLAN applications,” Applied Physics A, vol. 124, no. 8, pp. 568 (1-10), Aug. 2018. [13] M. E. Jalil., M. K. A. Rahim, N. A. Samsuri, R. Dewan and K. Kamardin, “Flexible ultra-wideband antenna incorporated with metamaterial structures: multiple notches for chipless RIFD application,” Applied Physics A, vol. 123, no. 1, pp. 48 (1-5), Jan. 2017. [14] P. J. Gogoi, S. Bhattacharyya and N. S. Bhattacharyya, “Linear low density polyethylene (LLDPE) as flexible substrate for wrist and arm antennas in C-band,” Journal of Electronic Materials, vol. 44, no. 4, pp. 1071-1080, Apr. 2015. [15] M. N. Ramli., P. J. Soh, M. F. Jamlos, H. Lago., N. M. Aziz and A. A. Al-Hadi, “Dual-band wearable fluidic antenna with metasurface embedded in a PDMS substrate,” Applied Physics A, vol. 123, no. 2, pp. 149 (1-7), Feb. 2017. [16] http://www.fcc.gov/encylopedia/specific-absorption-rate-sar-cellulattelephones. [17] A. Y. I. Ashyap, Z. Z. Abidin, S. H. Dahlan, H. A. Majid, M. R. Kamarudin and A. A. Alhameed, “Robust low-profile electromagnetic band-gap- based on textile wearable antennas for medical application,” International workshop on Antenna Technology, Small Antennas, Innovative Structures, and Applications, Athens, Greece, 1-3 Mar. 2017.
Go to article

Authors and Affiliations

Vikas Jain
1
Balwinder Singh Dhaliwal
2
  1. Research Scholar of IK Gujral Punjab Technical University, Kapurthala, Punjab, India
  2. Faculty of Electronics & Communication Engineering Department, National Institute of Technical Teachers’ Training and Research, Chandigarh, India

Inertial Sensors Integrated with Clothing to Localize People Inside Buildings

Jaroslaw Kawecki Pawel Oleksy Lukasz Januszkiewicz
International Journal of Electronics and Telecommunications | 2020 | vol. 66 | No 1 | 53-58 | DOI: 10.24425/ijet.2019.130265
Keywords inertial sensors wearable system step length estimation indoor localization localization system intelligent Tshirt
Download PDF Download RIS Download Bibtex

Abstract

This article presents a wearable system that localizes people in the indoor environment, using data from inertial sensors. The sensors measure the parameters of human motion, tracking the movements of the torso and foot. For this purpose, they were integrated with shirt and the shoe insole. The values of acceleration measured by the sensors are sent via Bluetooth to a smartphone. The localization algorithm implemented on the smartphone, presented here, merges data from the shirt and the shoe to track the steps made by the user and filter out the localization errors caused by movements the shirt and torso. The experimental verification of the algorithm is also presented.

Go to article

Authors and Affiliations

Jaroslaw Kawecki
Pawel Oleksy
Lukasz Januszkiewicz

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

Tao Xu Haifeng Se Jiahui Liu
Metrology and Measurement Systems | 2021 | vol. 28 | No 1 | 23-40 | DOI: 10.24425/mms.2021.135999
Keywords wearable fall detection MPU6050 threshold-based method convolutional neural network
Download PDF Download RIS Download Bibtex

Abstract

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.
Go to article

Authors and Affiliations

Tao Xu
1
Haifeng Se
1
Jiahui Liu
1
  1. Shenyang Aerospace University, School of Automation, Shenbei New District, Shenyang, China

An Autonomous Wearable Sensor Node for Long-Term Healthcare Monitoring Powered by a Photovoltaic Energy Harvesting System

Saeed Mohsen Abdelhalim Zekry Khaled Youssef Mohamed Abouelatta
International Journal of Electronics and Telecommunications | 2020 | vol. 66 | No 2 | 267-272 | DOI: 10.24425/ijet.2020.131873
Keywords energy harvesting healthcare monitoring wearable sensor nodes photovoltaic Bluetooth low energy (BLE)
Download PDF Download RIS Download Bibtex

Abstract

In this paper, an autonomous wearable sensor node is developed for long-term continuous healthcare monitoring. This node is used to monitor the body temperature and heart rate of a human through a mobile application. Thus, it includes a temperature sensor, a heart pulse sensor, a low-power microcontroller, and a Bluetooth low energy (BLE) module. The power supply of the node is a lithium-ion rechargeable battery, but this battery has a limited lifetime. Therefore, a photovoltaic (PV) energy harvesting system is proposed to prolong the battery lifetime of the sensor node. The PV energy harvesting system consists of a flexible photovoltaic panel, and a charging controller. This PV energy harvesting system is practically tested outdoor under lighting intensity of 1000 W/m2. Experimentally, the overall power consumption of the node is 4.97 mW and its lifetime about 246 hours in active-sleep mode. Finally, the experimental results demonstrate long-term and sustainable operation for the wearable sensor node.

Go to article

Authors and Affiliations

Saeed Mohsen
Abdelhalim Zekry
Khaled Youssef
Mohamed Abouelatta

Dual-band Textile AMC Antenna for WLAN/WBAN Applications on the Human Arm

Wahida Bouamra Imen Sfar Ameni Mersani Lotfi Osman Jean-Marc Ribero
International Journal of Electronics and Telecommunications | 2022 | vol. 68 | No 2 | 209-216 | DOI: 10.24425/ijet.2022.139869
Keywords wearable antenna dual-band antenna AMC SAR WLAN human body models WBAN
Download PDF Download RIS Download Bibtex

Abstract

This article presents a low-profile and flexible dualband AMC Antenna operating at 2.45/ 5.8 GHz for wireless local area network (WLAN) on-body antenna applications using textile materials. A dual-band artificial magnetic conductor (AMC) structure with a dual hexagonal shape was used to reduce back radiation, therefore specific absorption rate (SAR), and improve the antenna performance parameters. To study the antenna/body interaction, a suitable comprehension and detailed studies of the wave propagation in the vicinity of the human arm in different meteorological conditions were carried out to demonstrate the effects of the skin condition on the antenna performance parameters. The simulation and measurement results indicate that electromagnetic communication on wet skin is viable. Acceptable SAR values were obtained, revealing that the body is well immune from the antenna electromagnetic radiation in functional wearable conditions. The proposed wearable AMC antenna provided engaging simulation and measurement results. It satisfies users' comfort and safety properties, making it a good candidate for WLAN/WBAN applications.
Go to article

Authors and Affiliations

Wahida Bouamra
1
Imen Sfar
1
Ameni Mersani
1
Lotfi Osman
2
Jean-Marc Ribero
3
  1. Department of Physics, Faculty of Sciences of Tunis, University of Tunis El Manar, Tunisia
  2. Higher School of Communication of Tunis, University of Carthage, Tunis, Tunisia
  3. University Nice-Sophia Antipolis, Sophia Antipolis, France

Can data processing algorithms ensure sufficient accuracy to estimate human body pose via wearable systems with use of IMU sensors? – an experimental evaluation

Aleksandra Szczerba Piotr Prochor Szczepan Piszczatowski
Bulletin of the Polish Academy of Sciences Technical Sciences | 2024 | 72 | 1 | e148835 | DOI: 10.24425/bpasts.2024.148835
Keywords pose estimation wearable electronics motion sensors inertial measurement unit human motion tracking
Download PDF Download RIS Download Bibtex

Abstract

Background: The aim of the study was to answer two questions: 1 – Can data processing algorithms ensure sufficient accuracy for estimating human body pose via wearable systems? 2 – How to process the IMU sensor data to obtain the most accurate information on the human body pose? To answer these questions, the authors evaluated proposed algorithms in terms of accuracy and reliability. Methodology: data acquisition was performed with tested IMU sensors system mounted onto a Biodex System device. Research included pendulum movement with seven angular velocities (10-120°/s) in five angular movement ranges (30-120°). Algorithms used data from accelerometers and gyroscopes and considered complementary and/or Kalman filters with adjusted parameters. Moreover, angular velocity registration quality was also taken into consideration. Results: differences between means for angular velocity were 0.55÷1.05°/s and 1.76÷3.11%. In the case of angular position relative error of means was 4.77÷10.84%, relative error of extreme values was 2.15÷4.81% and Spearman’s correlation coefficient was 0.74÷0.89. Conclusions: Algorithm calculating angles based on acceleration-derived quaternions and with implementation of Kalman filter was the most accurate for data processing and can be adapted for future work with IMU sensors systems, especially in wearable devices that are designated to support human in daily activity.
Go to article

Authors and Affiliations

Aleksandra Szczerba
1
ORCID: ORCID
Piotr Prochor
1
ORCID: ORCID
Szczepan Piszczatowski
1
ORCID: ORCID
  1. Department of Biomaterials and Medical Devices Engineering, Institute of Biomedical Engineering, Faculty of Mechanical Engineering, BialystokUniversity of Technology, Wiejska 45C Street, 15-351 Bialystok, Poland

This page uses 'cookies'. Learn more