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

Instrumentation Amplifier01:25

Instrumentation Amplifier

973
An electrocardiography (ECG) machine is an essential piece of medical equipment used to monitor the electrical activity of the heart. It operates by detecting small electrical changes on the skin that result from the depolarization of the heart muscle during each heartbeat. However, these signals are in the microvolt range and can be easily overwhelmed by noise or interference.
To overcome this challenge, an ECG machine utilizes an instrumentation amplifier. This specialized amplifier is...
973
Electrocardiogram Fundamentals01:28

Electrocardiogram Fundamentals

1.3K
Introduction
An electrocardiogram (ECG) is a diagnostic tool for identifying cardiac conditions such as arrhythmias, conduction abnormalities, and myocardial ischemia.
Definition
An electrocardiogram (ECG) visualizes the heart's electrical activity by tracing the electrical movement associated with each heartbeat on a graph or monitor. As the heart beats, an electrical wave passes through it, correlating with the cardiac cycle events.
Parts of an ECG
An ECG utilizes electrodes on the skin...
1.3K

You might also read

Related Articles

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

Sort by
Same author

Automated detection of marginal bone loss levels in implant brands using deep learning on periapical radiographs.

Journal of the Formosan Medical Association = Taiwan yi zhi·2026
Same author

Redox-regulated in situ-forming hydrogel informed by single-cell transcriptomics for functional restoration of injured vocal folds.

Nature communications·2026
Same author

Robust Non-Invasive Cardiac Index Prediction via Feature Integration and Data-Augmented Neural Networks.

Bioengineering (Basel, Switzerland)·2026
Same author

Bio-inspired programmable assembly of shape-memory and blood-reinforced cryogel for hemostasis and functional liver regeneration.

Materials today. Bio·2026
Same author

Activating the cellular scavenger: A bioactive hydrogel promotes diabetic wounds via plant exosome-like nanovesicles enhanced macrophage efferocytosis.

Bioactive materials·2026
Same author

Proton Concentration Tunes the Double-Layer Characteristics of Lead Catalysts to Boost the Electrosynthesis of Glyoxylic Acid.

Nano letters·2026

Related Experiment Video

Updated: Jan 3, 2026

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System
10:17

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System

Published on: April 11, 2025

1.5K

A Low-Power High-Data-Transmission Multi-Lead ECG Acquisition Sensor System.

Liang-Hung Wang1, Wei Zhang1, Ming-Hui Guan1

  • 1Department of Microelectronics, College of Physics and Information Engineering, Fuzhou University, Fuzhou City 350108, China.

Sensors (Basel, Switzerland)
|November 21, 2019
PubMed
Summary

This study introduces a low-power, vest-type wearable electrocardiogram (ECG) sensor for continuous, remote patient monitoring. The device offers comfortable, self-administered ECG acquisition, improving clinical diagnosis and patient mobility.

Keywords:
BluetoothHuffman codinglow power consumptionmulti-leadwearable electrocardiogram (ECG) sensor system

More Related Videos

A Real-Time Wearable Electromyography Measurement System for Small Animals
05:00

A Real-Time Wearable Electromyography Measurement System for Small Animals

Published on: November 15, 2024

1.2K
A Research Method For Detecting Transient Myocardial Ischemia In Patients With Suspected Acute Coronary Syndrome Using Continuous ST-segment Analysis
18:11

A Research Method For Detecting Transient Myocardial Ischemia In Patients With Suspected Acute Coronary Syndrome Using Continuous ST-segment Analysis

Published on: December 28, 2012

24.7K

Related Experiment Videos

Last Updated: Jan 3, 2026

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System
10:17

Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System

Published on: April 11, 2025

1.5K
A Real-Time Wearable Electromyography Measurement System for Small Animals
05:00

A Real-Time Wearable Electromyography Measurement System for Small Animals

Published on: November 15, 2024

1.2K
A Research Method For Detecting Transient Myocardial Ischemia In Patients With Suspected Acute Coronary Syndrome Using Continuous ST-segment Analysis
18:11

A Research Method For Detecting Transient Myocardial Ischemia In Patients With Suspected Acute Coronary Syndrome Using Continuous ST-segment Analysis

Published on: December 28, 2012

24.7K

Area of Science:

  • Biomedical Engineering
  • Wearable Technology
  • Cardiovascular Monitoring

Background:

  • Traditional 12-lead ECG instruments limit patient mobility and require medical staff.
  • Existing wearable ECG solutions may lack multi-lead capability or efficient power management.
  • There is a need for comfortable, user-friendly, and long-duration ECG monitoring systems.

Purpose of the Study:

  • To design and develop a low-power, multi-lead wearable ECG sensor system.
  • To enable comfortable, self-administered ECG acquisition for continuous monitoring.
  • To improve ECG data collection for enhanced clinical diagnosis, especially for the elderly and remote patients.

Main Methods:

  • Developed a vest-type ECG sensor with five electrode patches and an acquisition device.
  • Implemented power reduction strategies: optimized microcontroller (MCU) modes, adjusted radio frequency (RF) parameters, and data compression.
  • Utilized Huffman lossless coding for data compression to increase sampling rate.
  • Integrated Bluetooth technology for real-time data transmission to a mobile device.

Main Results:

  • The wearable ECG device successfully collected, processed, and transmitted three-lead (I, II, V1) ECG data via Bluetooth.
  • Achieved a sampling rate of 250 Hz per lead with a data compression ratio of 2.31.
  • Reduced overall operational current by 37.6% to 9.87 mA at 2.1 V supply voltage, demonstrating low-power operation.
  • ECG waveforms were clear, complete, and displayed in real-time on a mobile phone.

Conclusions:

  • The proposed vest-type multi-lead ECG acquisition device is comfortable, user-friendly, and suitable for self-administration.
  • The system enables continuous, long-duration ECG monitoring with reduced power consumption.
  • It offers a viable solution for clinical diagnosis, remote patient monitoring, and nursing care.