Evidence map›Paper›PMID 41714444›Full record

ArticleAnnals of biomedical engineering2026

In-Vivo 6D Heart Motion Analysis for Emerging Self-Powered Cardiac Implants.

Milad Hasani, John Huber, Benedict Kjærgaard, Tomas Zaremba, Alireza Rezania, Sam Riahi

Abstract read
In one paragraph

Article in Annals of biomedical engineering, 2026. 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

6 authors.

Milad HasaniDepartment of Energy, Aalborg University, Aalborg, Denmark.
John HuberDepartment of Engineering Science, University of Oxford, Oxford, United Kingdom.
Benedict KjærgaardDepartment of Clinical Medicine, Aalborg University, Aalborg, Denmark.
Tomas ZarembaDepartment of Clinical Medicine, Aalborg University, Aalborg, Denmark.
Alireza RezaniaDepartment of Energy, Aalborg University, Aalborg, Denmark. alr@energy.aau.dk.
Sam RiahiDepartment of Clinical Medicine, Aalborg University, Aalborg, Denmark.

Funding

Novo Nordisk Fonden NNF20SA0067242
6 · The paper itself

Abstract

Self-powered intracardiac implant devices show great promise for future clinical applications due to their extended operational lifespan and the potential to reduce the need for high-risk repeat surgeries. This study investigates the feasibility of harvesting energy from cardiac motion through in vivo testing of intracardiac devices. Comprehensive three-dimensional translational and rotational cardiac motions are captured in a porcine model using a miniaturized 9-degree-of-freedom motion sensor implanted at six strategic epicardial sites. Kinematic criteria are developed to evaluate the energy harvesting potential of each implant site based on the available kinetic energy, acceleration, and jerk factors. The recorded heart motion signals are analyzed and applied to a conceptual energy harvester proposed to identify the optimal implant site. The results reveal that the left ventricular apex emerges as a preferable site for energy harvesting, particularly at moderate heart rates. These findings offer valuable insights into optimizing self-powered intracardiac implants, reducing dependency on battery replacements, and enhancing long-term patient safety.

Indexed as

HeartAnimalsSwineCardiac motionInertial measurementIntracardiac deviceIn vivo porcine modelPiezoelectric energy harvestingSelf-powered implants

Identifiers

PMID41714444
PMCPMC13290797

What OpenQuestion holds

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Registered trials

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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.