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

Mass Spectrometry: Complex Analysis01:21

Mass Spectrometry: Complex Analysis

1.8K
Mass spectrometry is an important technique for the identification of pure compounds. However, it has some limitations for the analysis of complex mixtures, often due to excessive fragmentation making the spectrum too complicated to decipher. Mass spectrometry can be combined with suitable separation methods in sequence, forming hyphenated methods, which are useful in the analysis of complex mixtures.
GC–MS is a powerful hyphenated method commonly used in forensics and environmental...
1.8K
ECG Interpretation of Rhythms01:24

ECG Interpretation of Rhythms

14.2K
An electrocardiogram (ECG)graphically represents the heart's electrical activity on ECG paper or a monitor.
Components of the Electrocardiogram
The primary components of a normal ECG waveform in Normal sinus rhythm(NSR) include the P wave, PR interval, QRS complex, ST segment, T wave, and occasionally a U wave.
ECG waveforms are divided by vertical and horizontal lines at standard intervals.
The horizontal axis measures time and rate, and the vertical axis measures amplitude or voltage....
14.2K
Correlation between ECG and Cardiac Cycle01:25

Correlation between ECG and Cardiac Cycle

12.6K
The electrical signals recorded on an electrocardiogram (ECG) occur before the mechanical processes of contraction and relaxation during the cardiac cycle.
A cardiac action potential originates in the SA node and spreads throughout the atria and the AV node in approximately 0.03 seconds. This results in the P wave in an ECG and triggers atrial contraction. The action potential is then briefly slowed at the AV node, allowing the atria to contract and fill the ventricles with blood before...
12.6K
Behavior of Concrete Under Compressive Load01:23

Behavior of Concrete Under Compressive Load

643
Concrete exhibits specific behaviors under different compressive loads. Understanding this is crucial for understanding its structural integrity. When concrete undergoes uniaxial compression, it tends to develop cracks that run parallel to the direction of the force. These parallel cracks stem from localized tensile stresses that occur perpendicular to the compression direction. Additionally, angled cracks may appear due to the formation of shear planes.
As the concrete specimen fractures under...
643
ECG Interpretation of Arrhythmias I: Sinus Arrhythmias01:16

ECG Interpretation of Arrhythmias I: Sinus Arrhythmias

853
Arrhythmias are disturbances in the heart's rhythm that lead to abnormal heartbeats. These irregularities can originate from different parts of the heart and are classified based on their origin and nature.
Types of Arrhythmias
Sinus Node Arrhythmias
Sinus Bradycardia: Originating from the sinoatrial (SA) node, sinus bradycardia involves slower impulses, resulting in a heart rate of less than 60 beats per minute (bpm). Causes include sleep, vagal stimulation, beta-blockers, hypothyroidism,...
853
Formation of Complex Ions03:45

Formation of Complex Ions

26.2K
A type of Lewis acid-base chemistry involves the formation of a complex ion (or a coordination complex) comprising a central atom, typically a transition metal cation, surrounded by ions or molecules called ligands. These ligands can be neutral molecules like H2O or NH3, or ions such as CN− or OH−. Often, the ligands act as Lewis bases, donating a pair of electrons to the central atom. These types of Lewis acid-base reactions are examples of a broad subdiscipline called coordination...
26.2K

You might also read

Related Articles

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

Sort by
Same author

The implementation of the Infection Control Map-an integrated, visual online information system-enhanced infection control practices and reduced the incidence of multidrug-resistant organisms in a medical intensive care unit.

Journal of microbiology, immunology, and infection = Wei mian yu gan ran za zhi·2026
Same author

An AIoT enabled system for optimizing data retrieval in the intensive care unit evaluated in a randomized crossover pilot trial.

Scientific reports·2025
Same author

Implementing Sustainable Practices in the Cardiac Catheterization Laboratory: Results from a Year-Long Waste Reduction Initiative.

Acta Cardiologica Sinica·2025
Same author

An Efficient Anomalous Sound Detection System for Microcontrollers.

Sensors (Basel, Switzerland)·2024
Same author

Improving lung function capacity in patients with chronotropic incompetence using closed loop stimulation: A randomized crossover study.

Journal of the Formosan Medical Association = Taiwan yi zhi·2024
Same author

Quality-Aware Signal Processing Mechanism of PPG Signal for Long-Term Heart Rate Monitoring.

Sensors (Basel, Switzerland)·2024

Related Experiment Video

Updated: Feb 7, 2026

Measurement of the Compressibility of Cell and Nucleus Based on Acoustofluidic Microdevice
09:06

Measurement of the Compressibility of Cell and Nucleus Based on Acoustofluidic Microdevice

Published on: July 14, 2022

2.0K

Low-Complexity Privacy-Preserving Compressive Analysis Using Subspace-Based Dictionary for ECG Telemonitoring System.

Ching-Yao Chou, En-Jui Chang, Huai-Ting Li

    IEEE Transactions on Biomedical Circuits and Systems
    |July 12, 2018
    PubMed
    Summary

    This study introduces Privacy-Preserving Compressive Analysis (PPCA) for secure electrocardiography (ECG) telemonitoring. PPCA enhances data privacy and reduces computational complexity for wearable sensors while maintaining high classification accuracy.

    More Related Videos

    Ambulatory ECG Recording in Mice
    08:00

    Ambulatory ECG Recording in Mice

    Published on: May 27, 2010

    24.8K
    Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function
    05:03

    Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function

    Published on: December 11, 2019

    9.1K

    Related Experiment Videos

    Last Updated: Feb 7, 2026

    Measurement of the Compressibility of Cell and Nucleus Based on Acoustofluidic Microdevice
    09:06

    Measurement of the Compressibility of Cell and Nucleus Based on Acoustofluidic Microdevice

    Published on: July 14, 2022

    2.0K
    Ambulatory ECG Recording in Mice
    08:00

    Ambulatory ECG Recording in Mice

    Published on: May 27, 2010

    24.8K
    Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function
    05:03

    Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function

    Published on: December 11, 2019

    9.1K

    Area of Science:

    • Biomedical Engineering
    • Signal Processing
    • Cybersecurity

    Background:

    • Compressive Sensing (CS) enables efficient long-term electrocardiography (ECG) telemonitoring for resource-constrained wearable sensors.
    • Existing CS security methods offer limited privacy and high decryption complexity, focusing on signal recovery rather than data analytics.
    • Concerns exist regarding privacy leakage from transmitted personal information in CS-based telemonitoring.

    Purpose of the Study:

    • To propose a low-complexity framework, Privacy-Preserving Compressive Analysis (PPCA), for information-theoretic privacy protection in ECG telemonitoring.
    • To enable privacy-preserving data analytics, specifically atrial fibrillation detection, without compromising signal security.
    • To develop a framework that prevents signal reconstruction even if measurement matrices and dictionaries are compromised.

    Main Methods:

    • Developed a subspace-based representation for encrypting and decoding CS measurements online.
    • Offline, the signal space was divided into discriminative and complementary subspaces to build the dictionary.
    • Implemented PPCA using ECG data for atrial fibrillation detection, employing signal-dependent noise for encryption.

    Main Results:

    • PPCA reduced mutual information by 1.98 bits with signal-dependent noise (1 dB SNR).
    • Classification accuracy for atrial fibrillation detection remained high at 96.05% with the decoding matrix.
    • The computational complexity of PPCA was 341 times lower than traditional CS-based security due to matrix-vector product decoding.

    Conclusions:

    • PPCA offers a computationally efficient and information-theoretically secure solution for ECG telemonitoring.
    • The framework effectively protects patient privacy while preserving the capability for essential data analytics like disease detection.
    • PPCA represents a significant advancement in secure and private wearable health monitoring systems.