Coil Design of a Wireless Power-Transfer Receiver Integrated into a Left Ventricular Assist Device

Campi, Tommaso; Cruciani, Silvano; Maradei, F.; Feliziani, M.

doi:10.3390/electronics10080874

Cited by 9 publications

(6 citation statements)

References 32 publications

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“…Energy transfer occurs via an alternating magnetic field, and the inductive coil represents the transfer medium. One of the main considerations in obtaining maximum power transfer is the coil design [53,54]. Four configurations can be applied in MRC-WPT: series-series (S/S), series-parallel (S/P), parallelparallel (P/P), and parallel-series (P/S), where the first S or P stands for series or parallel compensation for primary winding and the second S or P indicates series or parallel compensation of the secondary winding [55].…”

Section: Magnetic Resonant Coupling Methodsmentioning

confidence: 99%

Near‐field wireless power transfer used in biomedical implants: A comprehensive review

Mahmood

Gharghan

Soliman

2022

IET Power Electronics

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Wireless power transfer (WPT) techniques have been utilized in various biomedical applications to overcome the challenges of battery capacity and lifetime, and high-cost surgical interventions, using biomedical implants (BMIs) and biomedical sensors (BMSs), including deep brain stimulators, capsule endoscopes, pacemakers, and cardiac monitoring sensors. In this article, near-field WPT methods in BMIs and BMSs, including magnetic resonator coupling (MRC), inductive coupling (IC), and capacitive coupling (CC), are reviewed, and some biomedical applications of these methods are highlighted. The applications of WPT have been explored in recent years to enhance the major performance metrics of BMIs. The main topologies of MRC-WPT are presented, and the main mathematical models related to each type were extracted from previous studies and detailed here. Additionally, the main performance metrics and results achieved, along with their suggested biomedical applications, are summarized in a comparison table. Some challenges and limitations of using WPT in the biomedical field and suggestions for improving the efficiency of WPT for biomedical applications are also discussed. Furthermore, future trends in WPT-based BMIs are also highlighted.

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Section: Magnetic Resonant Coupling Methodsmentioning

confidence: 99%

Near‐field wireless power transfer used in biomedical implants: A comprehensive review

Mahmood

Gharghan

Soliman

2022

IET Power Electronics

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“…Specifically, WPT employs a dedicated RF energy transmitter to charge the batteries of remote energy-harvesting devices continuously [19]. According to reports, commercial WPT transmitters can continuously supply RF power of approximately 5W over distances exceeding 10 meters [20]. Deploying the information transceiver, energy transmitter, and computing unit on the HAP to provide both MEC services and WPT can yield their benefits simultaneously.…”

Section: A Backgroundmentioning

confidence: 99%

Computation Rate Maximization for Wireless-Powered Edge Computing With Multi-User Cooperation

Li,

Zhang,

Lei

et al. 2024

IEEE Open J. Commun. Soc.

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The combination of mobile edge computing (MEC) and radio frequency-based wireless power transfer (WPT) presents a promising technique for providing sustainable energy supply and computing services at the network edge. This study considers a wireless-powered mobile edge computing system that includes a hybrid access point (HAP) equipped with a computing unit and multiple Internet of Things (IoT) devices. In particular, we propose a novel muti-user cooperation scheme to improve computation performance, where collaborative clusters are dynamically formed. Each collaborative cluster comprises a source device (SD) and an auxiliary device (AD), where the SD can partition the computation task into various segments for local processing, offloading to the HAP, and remote execution by the AD with the assistance of the HAP. Specifically, we aims to maximize the weighted sum computation rate (WSCR) of all the IoT devices in the network. This involves jointly optimizing collaboration, time and data allocation among multiple IoT devices and the HAP, while considering the energy causality property and the minimum data processing requirement of each device. Initially, an optimization algorithm based on the interior-point method is designed for time and data allocation. Subsequently, a priority-based iterative algorithm is developed to search for a near-optimal solution to the multi-user collaboration scheme. Finally, a deep learning-based approach is devised to further accelerate the algorithm's operation, building upon the initial two algorithms. Simulation results show that the performance of the proposed algorithms is comparable to that of the exhaustive search method, and the deep learning-based algorithm significantly reduces the execution time of the algorithm.INDEX TERMS Mobile edge computing, multi-user collaboration, wireless power transfer, time and data allocation, deep learning.

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“…A numerical study to improve WPT efficiency for left (LVADs) was investigated in Campi et al 40 This study explored an improvement in coil design to enhance performance and satisfy standard safety requirements. The operating frequency was 6.78 MHz, and different alignment angles were presented (0°, 30°, and 60°).…”

Section: Related Workmentioning

confidence: 99%

Wireless charging for cardiac pacemakers based on class‐D power amplifier and a series–parallel spider‐web coil

Mahmood

Gharghan

Eldosoky

et al. 2022

Circuit Theory & Apps

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Biomedical implants (BMIs) and biomedical sensors (BMSs) help to improve quality of life, detect diseases, provide monitoring of vital signs, and take over the role of malfunctioning organs. These implants and sensors require continuous battery power to work effectively, but the batteries used are restricted by their limited capacity and lifetime. This research reported here involved the design and implementation of a wireless charging system based on a seriesparallel spider-web coil (WPT-SP-SWC), specifically for cardiac pacemakers. The experimental design investigated several important parameters, including air gap, applied source voltage, coil size, and operating frequency. Performance metrics were evaluated in terms of output DC voltage, delivered output power, and power transfer efficiency. The target voltage was 5 V, which is adequate to charge a BMI such as a pacemaker, and three source voltages (5, 15, and 25 V) were tested. The design was examined at six operating frequencies, ranging from 1.78 MHz to 6.78 MHz. The most favorable results were achieved at 1.78 MHz. Power transfer efficiencies at a 10 mm air gap were 95.75% and 92.08% for applied voltages of 5 V and 15 V, respectively. The effectiveness of the proposed system was also validated by comparing the findings with previous articles.

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Coil Design of a Wireless Power-Transfer Receiver Integrated into a Left Ventricular Assist Device

Cited by 9 publications

References 32 publications

Near‐field wireless power transfer used in biomedical implants: A comprehensive review

Near‐field wireless power transfer used in biomedical implants: A comprehensive review

Computation Rate Maximization for Wireless-Powered Edge Computing With Multi-User Cooperation

Wireless charging for cardiac pacemakers based on class‐D power amplifier and a series–parallel spider‐web coil

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