Evidence map›Paper›PMID 40636565›Full record

ArticleJournal of electrical bioimpedance2025

Wireless power system for left ventricular assist device: Influence of coil design and tissue behavior on efficiency.

Hawraa A Almorshidi, Ali Jafer Mahdi, Manal Hussain Nawir

Abstract read
In one paragraph

Article in Journal of electrical bioimpedance, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Hawraa A AlmorshidiDepartment of Electrical and Electronic Engineering, University of Kerbala, 56001 Karbala, Iraq.
Ali Jafer MahdiDepartment of Electrical and Electronic Engineering, University of Kerbala, 56001 Karbala, Iraq.
Manal Hussain NawirDepartment of Electrical and Electronic Engineering, University of Kerbala, 56001 Karbala, Iraq.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper proposes a compact wireless power transfer (WPT) system designed to energize an implanted heart pump. The design integrates several power converters: a buck-boost converter supplied by a 14-volt battery, an H-bridge inverter, a low-pass filter, and a resonant inductive coupling WPT unit. A resistive load of 40 ohms is used to simulate the equivalent pump's operation. To improve efficiency and limit power losses caused by high-frequency skin effects, a Litz wire is utilized. Consequently, a multi-layer transmission coil structure is employed to strengthen coupling and ensure deeper field penetration. The system operates in an open-loop configuration with manual adjustment of the DC-DC converter's duty cycle. A frequency of 6.78 MHz is selected based on the Industrial, Scientific, and Medical band due to its recognized safety and its ability to achieve deeper penetration into biological tissues. To optimize the design, precise mathematical modeling of both the WPT system and the tissue layers is conducted, simulating their impact on electromagnetic field behavior. Simulation results demonstrate an impressive power transfer efficiency of 91% across a separation of 60 mm. It is worth noting that most existing studies focus on low-power wireless energy delivery for internal medical devices; this research advances the field by targeting higher power demands, positioning it as a practical solution for critical applications like heart assist pumps.

Indexed as

Buck-boost converterHuman tissuesLeft Ventricular Assist DeviceLitz wireMultilayer coilMutual inductanceWireless Power Transfer system

Identifiers

PMID40636565
PMCPMC12239193

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.