Performance analysis of a miniaturized implantable PIFA antenna for WBAN at ISM band

Islam, Nasim Al; Arifin, Farhadur

doi:10.1109/ceeict.2016.7873145

Cited by 21 publications

(7 citation statements)

References 20 publications

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“…In this type of network the communication between sensors is carried out within a short range of 2 to 3 m. These devices, basically, require small power sources with respect to the safety and security of the user. Therefore, with respect to the low power specification and small communication range, the standard Industrial Scientific and Medical (ISM) band is sufficient to cover the installed nodes [55,56]. Various communication technologies are supported in the ISM band, such as ZigBee, Bluetooth and Wi-Fi.…”

Section: Communication Protocolsmentioning

confidence: 99%

Requirements for Energy-Harvesting-Driven Edge Devices Using Task-Offloading Approaches

et al. 2022

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Energy limitations remain a key concern in the development of Internet of Medical Things (IoMT) devices since most of them have limited energy sources, mainly from batteries. Therefore, providing a sustainable and autonomous power supply is essential as it allows continuous energy sensing, flexible positioning, less human intervention, and easy maintenance. In the last few years, extensive investigations have been conducted to develop energy-autonomous systems for the IoMT by implementing energy-harvesting (EH) technologies as a feasible and economically practical alternative to batteries. To this end, various EH-solutions have been developed for wearables to enhance power extraction efficiency, such as integrating resonant energy extraction circuits such as SSHI, S-SSHI, and P-SSHI connected to common energy-storage units to maintain a stable output for charge loads. These circuits enable an increase in the harvested power by 174% compared to the SEH circuit. Although IoMT devices are becoming increasingly powerful and more affordable, some tasks, such as machine-learning algorithms, still require intensive computational resources, leading to higher energy consumption. Offloading computing-intensive tasks from resource-limited user devices to resource-rich fog or cloud layers can effectively address these issues and manage energy consumption. Reinforcement learning, in particular, employs the Q-algorithm, which is an efficient technique for hardware implementation, as well as offloading tasks from wearables to edge devices. For example, the lowest reported power consumption using FPGA technology is 37 mW. Furthermore, the communication cost from wearables to fog devices should not offset the energy savings gained from task migration. This paper provides a comprehensive review of joint energy-harvesting technologies and computation-offloading strategies for the IoMT. Moreover, power supply strategies for wearables, energy-storage techniques, and hardware implementation of the task migration were provided.

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Section: Communication Protocolsmentioning

confidence: 99%

Requirements for Energy-Harvesting-Driven Edge Devices Using Task-Offloading Approaches

et al. 2022

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“…The radiation pattern is noticed by the adjacent tissues which is measured by using specific absorption ratio (SAR) for maintain safety [25]. Depending on the measurement of Federal Communications Commission (FCC), SAR might be lower than 2 W/Kg for 10 gm tissue to assure the higher safety [26][27][28].…”

Section: Specific Absorption Rate (Sar)mentioning

confidence: 99%

Antenna design and fabrication for biotelemetry applications

Sinha

Hasan

Niloy

et al. 2021

IJECE

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<span>This research work assumes the role of designing a Micro-strip patch antenna that exists with in the band range of 402 MHz to 405 MHz, which was considered as medical implantable communication systems (MICS) band and can be possibly implanted at human body phantom model because of its flexiblility and lower radiation characteristics. CST Microwave studio was used for designing the patch antenna and the human body phantom model with the existence of homogeneous layers (fat, skin and muscle) and the final version was fabricated. Being highly flexible, FR4 was chosen as a substrate to maintain 0.5 mm thickness throughout. For the ground and patch, copper material was selected having thickness of 0.018 mm. For the ease of fabrication and biocompatibility, silicon was selected with the thickness of being 8 mm. Maximum specific absorption rate of the proposed antenna was obtained 0.588 W/Kg for 10g tissue. Various Parameters such as VSWR, S11, Radiation efficiency, Total efficiency were found 1.1889, -21.28 dB, <br /> -45.71 dB, -45.74 dB respectively inside body phantom that ensure the antenna design was efficiently and effectively suitable for biotelemetry system which is body implantable. After fabrication the value of S11 is found -12.43 dB in open space with 453 MHz frequency.</span>

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“…It can also receive both vertical and horizontal polarized waves. A flexible PIFA is proposed by Islam et al, which operates in the ISM band (2.4-2.4835 GHz) [8]. For compact design Copper and Rogers RO-3010 are selected as the patch and substrate material, respectively.…”

Section: Antenna Architecturesmentioning

confidence: 99%

The quest for a miniaturized antenna in the wireless capsule endoscopy application: a review

Gayen

Biswas

Karmakar³

2021

Int. J. Microw. Wireless Technol.

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This review paper explores the potential use of the planar miniaturized antenna for wireless capsule endoscopy application: one of the promising fields in the current era. The paper highlights the design strategy, various optimization techniques with respect to system realization, material compatibility issues and finally the mandatory EM radiation effect analysis for the said application. It compares amongst various currently reported structures in context with different performance metrics. Inherent challenges of this emerging field of bio-medical engineering have also been detailed here along with futuristic approaches for enhancing the throughput.

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Performance analysis of a miniaturized implantable PIFA antenna for WBAN at ISM band

Cited by 21 publications

References 20 publications

Requirements for Energy-Harvesting-Driven Edge Devices Using Task-Offloading Approaches

Requirements for Energy-Harvesting-Driven Edge Devices Using Task-Offloading Approaches

Antenna design and fabrication for biotelemetry applications

The quest for a miniaturized antenna in the wireless capsule endoscopy application: a review

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