Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Knee Joint01:23

Knee Joint

3.0K
The knee joint is the most complicated joint in the body. It consists of three articulations– two tibiofemoral and one patellofemoral. As is characteristic of synovial joints, the knee joint has a thin articular capsule that partially surrounds this joint cavity. Additionally, several ligaments, muscles, and cartilaginous structures support the movement of the knee.
A total of seven ligaments support the knee joint. The patellar ligament, which is also attached to the quadriceps femoris...
3.0K
Peripheral Artery Disease I: Introduction01:30

Peripheral Artery Disease I: Introduction

247
Peripheral artery disease (PAD) predominantly results from atherosclerosis, which involves the accumulation of fatty deposits, or plaques, within the walls of arteries. This causes them to narrow and harden, significantly reducing blood flow. PAD predominantly affects the legs, particularly the arteries supplying the thighs and calves. In rare cases, it may involve other arteries, including those in the arms.Etiology of PAD:The principal cause of PAD is atherosclerosis, which results from fatty...
247

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A Durable Backdoor Attack on Medical Imaging via Federated Learning.

Studies in health technology and informatics·2026
Same author

Qualifying Missingness in Real-World Clinical Data for Secondary Use.

Studies in health technology and informatics·2026
Same author

Recovering Sensitive Medical Text in Federated Learning.

Studies in health technology and informatics·2026
Same author

Evaluation of Avatarization for Privacy-Preserving Synthetic Health Data Generation: A Case Study in Cancer Prediction.

Studies in health technology and informatics·2026
Same author

UPGRADE-Net: Unsupervised Sinogram-domain Data-Consistent Network for Metal Artifact Reduction.

IEEE transactions on medical imaging·2025
Same author

Self-Supervised Denoising With Noise Propagation Model: Improving Material Decomposition in Photon-Counting CT.

IEEE transactions on bio-medical engineering·2025

Related Experiment Video

Updated: Dec 30, 2025

Engineering Platform and Experimental Protocol for Design and Evaluation of a Neurally-controlled Powered Transfemoral Prosthesis
11:16

Engineering Platform and Experimental Protocol for Design and Evaluation of a Neurally-controlled Powered Transfemoral Prosthesis

Published on: July 22, 2014

16.6K

Secure Processing of Stream Cipher Encrypted Data Issued from IOT: Application to a Connected Knee Prosthesis.

Maxime Pistono, Reda Bellafqira, Gouenou Coatrieux

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |January 18, 2020
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a secure protocol for processing encrypted medical IoT data. It enables secure data analysis on devices like smartphones without compromising patient privacy, using a novel conversion algorithm.

    More Related Videos

    Bioelectric Analyses of an Osseointegrated Intelligent Implant Design System for Amputees
    14:31

    Bioelectric Analyses of an Osseointegrated Intelligent Implant Design System for Amputees

    Published on: July 15, 2009

    14.4K
    A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare
    06:34

    A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare

    Published on: July 7, 2023

    3.1K

    Related Experiment Videos

    Last Updated: Dec 30, 2025

    Engineering Platform and Experimental Protocol for Design and Evaluation of a Neurally-controlled Powered Transfemoral Prosthesis
    11:16

    Engineering Platform and Experimental Protocol for Design and Evaluation of a Neurally-controlled Powered Transfemoral Prosthesis

    Published on: July 22, 2014

    16.6K
    Bioelectric Analyses of an Osseointegrated Intelligent Implant Design System for Amputees
    14:31

    Bioelectric Analyses of an Osseointegrated Intelligent Implant Design System for Amputees

    Published on: July 15, 2009

    14.4K
    A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare
    06:34

    A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare

    Published on: July 7, 2023

    3.1K

    Area of Science:

    • Computer Science
    • Cybersecurity
    • Medical Informatics

    Background:

    • Medical IoT devices generate sensitive data requiring secure processing.
    • Existing solutions face challenges with computational complexity and real-time data analysis.
    • Protecting patient privacy during data processing is paramount.

    Purpose of the Study:

    • To propose a secure protocol for processing encrypted medical IoT data.
    • To enable efficient and private data analysis by third parties.
    • To integrate low-computation IoT devices with advanced cryptographic methods.

    Main Methods:

    • Developed a novel algorithm for converting Combined Linear Congruential Generator (CLCG) encrypted data to Damgard-Jurik (D-J) homomorphic encryption.
    • Introduced a secure packed version of CLCG within the D-J domain.
    • Theoretically and experimentally validated the protocol using data from a connected knee prosthesis.

    Main Results:

    • The proposed protocol allows secure processing of encrypted medical IoT data by third parties.
    • The conversion algorithm is fast, enabling real-time applications.
    • The packed CLCG version reduces communication and computation complexities.
    • Demonstrated effectiveness in a connected knee prosthesis monitoring scenario.

    Conclusions:

    • The developed protocol offers a secure, efficient, and privacy-preserving solution for medical IoT data processing.
    • It facilitates the integration of low-power IoT devices with advanced cryptographic techniques.
    • The approach supports real-time patient monitoring and health alerts.