Optimization of UHF RFID Five-Slotted Patch Tag Design Using PSO Algorithm for Biomedical Sensing Systems

Abstract

In this paper, a new flexible wearable radio frequency identification (RFID) five-shaped slot patch tag placed on the human arm is designed for ultra-high frequency (UHF) healthcare sensing applications. The compact proposed tag consists of a patch structure provided with five shaped slot radiators and a flexible substrate, which minimize the human body’s impact on the antenna radiation performance. We have optimized our designed tag using the particle swarm optimization (PSO) method with curve fitting within MATLAB to minimize antenna parameters to achieve a good return loss and an attractive radiation performance in the operating band. The PSO-optimized tag’s performance has been examined over the specific placement in some parts of the human body, such as wrist and chest, to evaluate the tag response and enable our tag antenna conception in wearable biomedical sensing applications. Finally, we have tested the robustness of this tag by evaluating its sensitivity as a function of the antenna radiator placement over the ground plane or by shaping the ground plane substrate for the tag’s position from the human body. Our numerical results show an optimal tag size with good matching features and promising read ranges near the human body.

Design of A Patch Antenna with Three Bands for Vital Signs Monitoring Devices

“…Copper material with a 0.035 mm thickness was used to make the patch and the ground plane. The patch's relative parameters equations are [27,28]:…”

Technological Advancements and Elucidation Gadgets for Healthcare Applications: An Exhaustive Methodological Review-Part-I (AI, Big Data, Block Chain, Open-Source Technologies, and Cloud Computing)

“…Not all, but few, are briefed for creating awareness among the future research community anticipators. Kumar and Tripathi [156] et.al, created a block chain consortium network to validate virus-related scan reports, block chain technology applications in managing electronic medical records (EMR), patient consent management [157][158][159], health insurance dispensation [160][161][162], artificial intelligence data transfer model development [163], genomics, logistics management for medical supplies, transportable healthcare and IoT [164,165], shared keys utility in the case of patient (key-holder) expiry [166], secure cloud-based EMRs [167], AI-based medical research collaboration with legitimacy [168,169], hybrid block chain solutions with medical IoT for remote patient monitoring [170], i.e., cardiac monitoring, sleep apnoea testing, etc., safety concerns of patients and medical personnel [171][172][173][174][175], and block chain technologybased retrieval of medical information through linking of hospitals [176][177][178].The hybrid utility of cloud and block chain technology (IBM's medical-block chain; Al Omar et al, 2019)deployed large-size electronic health records on block chain. Though all the investigative works cannot be discussed elaborately, few such are tabulated (Table 4) to make the readers more aware of the happenings.…”

“…Application Type Year [175,179,180] Healthcare applications Block chain technology's future challenges 2022, 2019 [181,182] Patient Health care Preserve patient information and data, such as blood tests, quality assessments, and estimates, in electronic health record formats 2021, 2020 [172,178] Secured healthcare Intelligent block chain framework for secured biomedical applications 2020,2019 [163] Research on myopia treatment Deep learning and block chain framework study 2021 [183] Wide services to patients community Block chain infrastructure challenges in future health care applications 2020 [170] Secured healthcare Provenance enhanced IoT and block chain framework 2020 [160,161,184] Enhanced clinical trials Block chain framework to ensure best clinical treatments, healthcare management 2020, 2018 [185,186] Validation Block chain enabling healthcare industries to obtain validated data of patients 2019 [157] False…”

Technological Advancements and Elucidation Gadgets for Healthcare Applications: An Exhaustive Methodological Review-Part-II (Robotics, Drones, 3D-Printing, Internet of Things, Virtual/Augmented and Mixed Reality)

“…Investigations signifying the deployment of IoT technology in healthcare applications include: IoT-based ultrasound imaging system for diagnosing abnormalities in kidneys [106], IoT-based real time configurable medical imaging equipment [107], utilization of IoT in monitoring, and medical imaging areas of the medical field [108,109]; The IoT healthcare system [110,111] elaborated the role of IoT in early diagnosis and treatment. The KHARE (Kinect HoloLens Assisted Rehabilitation Experience) platform of Microsoft Enterprise Services connecting to Microsoft's Azure IoT Suite is the best example for IoT utilization in healthcare.…”