Evidence map›Paper›PMID 40856633›Full record

ArticleJMIR biomedical engineering2025

Using Vibration for Secure Pairing With Implantable Medical Devices: Development and Usability Study.

Mo Zhang, Chaofan Wang, Weiwei Jiang, David Oswald, Toby Murray, Eduard Marin, Jing Wei, Mark Ryan, Vassilis Kostakos

Abstract read
In one paragraph

Article in JMIR biomedical engineering, 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

9 authors.

Mo ZhangSchool of Computer Science, University of Birmingham, Birmingham, United Kingdom.ORCID http://orcid.org/0000-0002-7302-9088
Chaofan WangCollege of Computer Science and Artificial Intelligence, Wenzhou University, Wenzhou, China.ORCID http://orcid.org/0000-0001-8213-6582
Weiwei JiangSchool of Computer Science, Nanjing University of Information Science and Technology, Nanjing, China.ORCID http://orcid.org/0000-0003-4413-2497
David OswaldSchool of Computer Science, University of Birmingham, Birmingham, United Kingdom.ORCID http://orcid.org/0000-0001-8524-5282
Toby MurraySchool of Computing and Information Systems, The University of Melbourne, Melbourne Connnect, 700 Swanston Street, Carlton, Melbourne, 3053, Australia, 61 493164461.ORCID http://orcid.org/0000-0002-8271-0289
Eduard MarinTelefonica Research Spain, Barcelona, Spain.ORCID http://orcid.org/0000-0002-5002-0187
Jing WeiSchool of Computing and Information Systems, The University of Melbourne, Melbourne Connnect, 700 Swanston Street, Carlton, Melbourne, 3053, Australia, 61 493164461.ORCID http://orcid.org/0000-0002-8522-8607
Mark RyanSchool of Computer Science, University of Birmingham, Birmingham, United Kingdom.ORCID http://orcid.org/0000-0002-1632-497X
Vassilis KostakosSchool of Computing and Information Systems, The University of Melbourne, Melbourne Connnect, 700 Swanston Street, Carlton, Melbourne, 3053, Australia, 61 493164461.ORCID http://orcid.org/0000-0003-2804-6038

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Implantable medical devices (IMDs), such as pacemakers, increasingly communicate wirelessly with external devices. To secure this wireless communication channel, a pairing process is needed to bootstrap a secret key between the devices. Previous work has proposed pairing approaches that often adopt a "seamless" design and render the pairing process imperceptible to patients. This lack of user perception can significantly compromise security and pose threats to patients. Objective: The study aimed to explore the use of highly perceptible vibrations for pairing with IMDs and aim to propose a novel technique that leverages the natural randomness in human motor behavior as a shared source of entropy for pairing, potentially deployable to current IMD products. Methods: A proof of concept was developed to demonstrate the proposed technique. A wearable prototype was built to simulate an individual acting as an IMD patient (real patients were not involved to avoid potential risks), and signal processing algorithms were devised to use accelerometer readings for facilitating secure pairing with an IMD. The technique was thoroughly evaluated in terms of accuracy, security, and usability through a lab study involving 24 participants. Results: Our proposed pairing technique achieves high pairing accuracy, with a zero false acceptance rate (indicating low risks from adversaries) and a false rejection rate of only 0.6% (1/192; suggesting that legitimate users will likely experience very few failures). Our approach also offers robust security, which passes the National Institute of Standards and Technology statistical tests (with all P values >.01). Moreover, our technique has high usability, evidenced by an average System Usability Scale questionnaire score of 73.6 (surpassing the standard benchmark of 68 for "good usability") and insights gathered from the interviews. Furthermore, the entire pairing process can be efficiently completed within 5 seconds. Conclusions: Vibration can be used to realize secure, usable, and deployable pairing in the context of IMDs. Our method also exhibits advantages over previous approaches, for example, lenient requirements on the sensing capabilities of IMDs and the synchronization between the IMD and the external device.

Indexed as

implantable medical devicepairingsecurityusabilityvibration

Identifiers

PMID40856633
PMCPMC12379749

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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.