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

Pulse Oximetry01:24

Pulse Oximetry

1.2K
Pulse oximetry, or SpO2, is a non-invasive method for continuously monitoring arterial oxygen saturation (SaO2). This procedure involves attaching a probe or sensor to the patient's fingertip, forehead, earlobe, or nose bridge. The sensor works by detecting changes in oxygen saturation levels through light signals generated by the oximeter and reflected by the pulsing blood under the probe.
Purpose
Average SpO2 values are greater than 95%. If the readings fall below 90%, it indicates that...
1.2K
Assessing Blood pressure using a doppler ultrasound01:19

Assessing Blood pressure using a doppler ultrasound

2.2K
To obtain accurate blood pressure measurements in clinical settings, especially when traditional methods are insufficient, healthcare professionals utilize the Doppler ultrasound technique. This method uses high-frequency sound waves to detect blood flow within the arteries, which is crucial for patients with conditions that complicate circulatory system assessment.
Pre-Procedural Guidelines for Doppler Ultrasound Blood Pressure Assessment:
Preparation of Equipment:
2.2K
Pulse rhythm01:30

Pulse rhythm

1.3K
Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac...
1.3K
Wave Parameters01:10

Wave Parameters

8.9K
The simplest mechanical waves are associated with simple harmonic motion and repeat themselves for several cycles. These simple harmonic waves can be modeled using a combination of sine and cosine functions. Consider a simplified surface water wave that moves across the water's surface. Unlike complex ocean waves, in surface water waves, water moves vertically, oscillating up and down, whereas the disturbance of the wave moves horizontally through the medium. If a seagull is floating on the...
8.9K

You might also read

Related Articles

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

Sort by
Same author

Efficacy and optimal timing of sivelestat in critically ill patients with COVID-19: a multicenter retrospective cohort study.

BMC pulmonary medicine·2026
Same author

Video-Based Training on Physicians' Proficiency in Invasive Fungal Disease: A Multicentre, Cluster Randomised Controlled Trial.

Mycoses·2026
Same author

Associations between dietary fat-soluble vitamins and pulmonary function and airway inflammation: A cross-sectional study.

Medicine·2026
Same author

Automated synthesis of InSb quantum dots with improved batch-to-batch reproducibility via kinetically matched co-reduction.

Nature communications·2026
Same author

An interpretable analysis of the depressive status and its influencing factors in elderly patients with stroke.

Frontiers in neurology·2026
Same author

A multifunctional ICAM1-directed MnOâ‚‚@ZIF8 nanoplatform with Tanshinone IIA synergistically reverses senescence and restores alveolar regeneration in septic lung injury.

Journal of nanobiotechnology·2026

Related Experiment Video

Updated: Dec 30, 2025

Using Wavelet Entropy to Demonstrate how Mindfulness Practice Increases Coordination between Irregular Cerebral and Cardiac Activities
08:08

Using Wavelet Entropy to Demonstrate how Mindfulness Practice Increases Coordination between Irregular Cerebral and Cardiac Activities

Published on: May 10, 2017

15.1K

Wavelet-based real-time calculation of multiple physiological parameters on an embedded platform.

Minfang Tang1,2, Pan Xia1,2, Zhengling He1,2

  • 1Institute of Electronics Chinese Academy of Sciences, Beijing, People's Republic of China.

Physiological Measurement
|January 24, 2020
PubMed
Summary
This summary is machine-generated.

This study demonstrates accurate real-time calculation of vital signs like heart rate and blood pressure using wavelet decomposition on embedded systems. The method shows high precision for multiple physiological parameters.

More Related Videos

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

5.0K
Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis
08:22

Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis

Published on: April 26, 2024

2.9K

Related Experiment Videos

Last Updated: Dec 30, 2025

Using Wavelet Entropy to Demonstrate how Mindfulness Practice Increases Coordination between Irregular Cerebral and Cardiac Activities
08:08

Using Wavelet Entropy to Demonstrate how Mindfulness Practice Increases Coordination between Irregular Cerebral and Cardiac Activities

Published on: May 10, 2017

15.1K
Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

5.0K
Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis
08:22

Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis

Published on: April 26, 2024

2.9K

Area of Science:

  • Biomedical Engineering
  • Signal Processing
  • Embedded Systems

Background:

  • Physiological signal analysis is crucial for real-time health monitoring.
  • Traditional methods may face limitations in accuracy and real-time processing on embedded platforms.

Purpose of the Study:

  • To develop and validate a wavelet decomposition-based algorithm for real-time calculation of multiple physiological parameters.
  • To implement this algorithm on an embedded platform for practical applications.

Main Methods:

  • Electrocardiogram (ECG) and photoplethysmogram (PPG) signals were decomposed using quadratic spline wavelet base.
  • Feature points were identified on decomposed waveforms to calculate heart rate, pulse rate, blood oxygen, and blood pressure.
  • The algorithm was implemented on a Texas Instruments CC2640R2F embedded platform.

Main Results:

  • Low feature point misdetection rates: 0.57% for ECG and 0.23% for PPG.
  • High correlation coefficients for heart rate (0.99) and pulse rate (0.99) compared to reference.
  • Significant association for systolic (0.87) and diastolic (0.83) blood pressure with standard equipment.

Conclusions:

  • Wavelet decomposition enables accurate real-time calculation of multiple physiological parameters on embedded systems.
  • The proposed method offers a promising approach for portable and accurate physiological monitoring.