Optimizing Wearable Textile Antennas for Accurate Long‐Range Localization Using Interpretable Generalized Additive Neural Network

International Journal of Communication Systems, Journal Year: 2025, Volume and Issue: 38(6)

Published: March 10, 2025

ABSTRACT The wearable monopole antenna is for long‐range localization at the specific frequencies of 915 and 923 MHzwas built on a Rogers Duroid platform. It provides great efficiency, directed radiation, low absorption rate (SAR) values, ensuring safety compliance. Real‐world tests revealed 3‐dB gain in signal strength 1.5‐km range. This makes promising option dependable LoRa‐based tracking variety environments. In this manuscript, optimizing textile antennas accurate using interpretable generalized additive neural network (OWTA‐ALRL‐IGANN) proposed. IGANN used to predict response antenna. As therefore, performance increased, design time decreased, complex data interactions can be managed more easily. Finally, OWTA‐ALRL‐IGANN method attains 19.11%, 17.21%, 18.24% higher bandwidth; 18.23%, 19.20%, 17.20% SAR; 16.11%, 17.19%, 15.21% lower return loss when comparing with existing techniques like machine learning–optimized LoRa (ML‐OWA‐LL), optimization compact patch vital sign monitoring WBAN medical applications utilizing ML (LoRa‐VSM‐WBAN‐ML), healing bone fractures un‐supervised learning algorithm (CTMA‐BF‐UMLA), respectively.

Language: Английский

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HEALFUL - Internet of Health Things Platform to Monitor Quality of Life

Published: June 18, 2024

Monitoring people’s Quality of Life (QoL) has attracted interest due to the health benefits an accurate QoL analysis, such as early healthcare interventions. However, most instruments assess are questionnaires, and their application is time-consuming, intrusive, error-prone. This work proposes Internet Health Things (IoHT) platform called Healful that applies Machine Learning infer users’ QoL. A case study with 44 participants was conducted for six months, during this evaluation, data were collected daily through smartphones wearables. These processed compiled into two datasets 1,373 instances each. Next, five models built using 10-fold cross-validation estimate participants’ Random Forest (RF) had best results considering Root Mean Squared Error (RMSE). RF got RMSE 7.8618 physical domain 7.4591 psychological domain.

Language: Английский

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Empowering Patients: Unlocking Benefits Through Blockchain Integration in IoT-Based Biomedical and Healthcare Systems

Published: Jan. 1, 2024

Language: Английский

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Design of a Model Using Machine Learning and Deep Dyna Q Learning Integration for Improved Disease Prediction in Remote Healthcare

Journal of Machine and Computing, Journal Year: 2024, Volume and Issue: unknown, P. 531 - 540

Published: July 5, 2024

In the domain of proactive healthcare management, imperative for remote health monitoring has escalated, care in this scenario specially means, patient is seating at location that not hospital setting, and doctor or worker parameters gathered using biomedical sensors passed through network. Conventional methodologies, while partially effective, encounter challenges predictive precision, responsiveness to evolving dynamics, managing vast array data. These limitations underscore demand a sophisticated, holistic solution catering diverse use cases. This work introduces pioneering framework amalgamating traditional machine learning (ML) models with advanced capabilities Deep Dyna Q Learning process overcome existing constraints. strategically utilizes ensemble algorithms which amalgamates strengths these models. Central model integration Learning, empowering system real-time adaptability dynamic decision-making reinforcement principles, thereby deriving insights from historical simulated datasets foster more nuanced, patient-centric decisions. The impact comprehensive approach profound, evidenced by preliminary results showcasing significant enhancements efficiency systems. Notably, achieves increase accuracy recall disease prediction. improvements signify paradigm shift towards efficient interventions, especially settings. fusion ML techniques emerges as potent solution, heralding revolution establishing new benchmark delivery scenarios.

Language: Английский

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A Circumgyrated Pika Shaped Wearable Antenna for Biotelemetry, IMDs, and BCWC Healthcare Applications

Advances in medical technologies and clinical practice book series, Journal Year: 2024, Volume and Issue: unknown, P. 67 - 90

Published: Sept. 13, 2024

In these outbreak days, people are suffering from severe health difficulties, so constant remote monitoring is becoming important. the flexible technologies, textile antennas indispensable foundational element for BCC or BCWC & WBAN's revolutionary evolution of healthcare, telemetry, IoT, 5G, IMD's (implantable medical devices) communication and recognition. The in-body, on-body, off-body connection attainable in internal external human frame with assistance BCCs, which allows real time vital data like blood pressure, body temperature, heart rate, etc. this chapter, juxtaposition different parameters antenna considered, formed by jeans having dimensions 60mm×56mm×1.076mm, resonating between 6.6 GHz to 11.9 maximum return loss -48.65 dB at its resonance frequency 7.9 impedance bandwidth 57%. proposed gives gain 3.6 efficiency 85% actually suitable ISM applications.

Language: Английский

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Wide band antenna for 5G NR FR2 bands and performance analysis for on-body application

AIP conference proceedings, Journal Year: 2024, Volume and Issue: 3232, P. 040006 - 040006

Published: Jan. 1, 2024

Language: Английский

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Embroidered textile antenna with dual‐band capability for body‐centric communication systems

Microwave and Optical Technology Letters, Journal Year: 2024, Volume and Issue: 66(10)

Published: Oct. 1, 2024

Abstract The integration of health monitoring and wearable antenna technologies has enhanced patient assessment the provision healthcare. Traditional methods have evoked a surge in interest toward embroidered antennas as viable solution for constant physiological noninvasive way. This study examines performance an textile (EWT) intended breathing rate applications. is seamlessly integrated into commercially available T‐shirt, extending confines “smart” textiles. compact (45 mm × 26 mm) EWT operates 2.4 5.8 GHz with gains 2.07 5.85 dBi, respectively. Crumpling stretching analysis also been investigated to ensure antenna's mechanical stability reliability. Subsequently specific absorption performed quantify radiation within specified limits.

Language: Английский

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