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

Introduction to Vital Signs01:25

Introduction to Vital Signs

2.8K
Vital signs are physiological measurements that help key into the status of the body's essential functions. These include body temperature, pulse rate, respiratory rate, and blood pressure, commonly abbreviated as T, P, R, and BP. Some healthcare settings also consider oxygen saturation (SpO2) and, in specific contexts, pain and level of consciousness as additional vital signs.
Vital signs help healthcare professionals assess an individual's well-being and detect any functional changes...
2.8K
Pulse amplitude and quality01:17

Pulse amplitude and quality

2.0K
Pulse amplitude is a crucial indicator of cardiac health because it provides valuable insights into the strength of left ventricular contractions and the overall uniformity of blood circulation within the vasculature. The strength of the pulse is directly related to the force with which the heart contracts and the volume of blood being pumped.
A weak or absent pulse may indicate reduced cardiac output or poor left ventricular contraction, which can be signs of cardiovascular dysfunction or...
2.0K
Guidelines For Measuring Vital Signs01:19

Guidelines For Measuring Vital Signs

1.8K
Following these guidelines can help nurses accurately measure vital signs, assess changes in patient conditions, and provide timely treatment when necessary. Adhering closely to the guidelines ensures the accuracy and reliability of the results.
Before taking a patient's vital signs, a nurse would consider and assess the patient's comfort level and ensure appropriate equipment is available.
1.8K
Detection of Gross Error: The Q Test01:00

Detection of Gross Error: The Q Test

6.3K
When one or more data points appear far from the rest of the data, there is a need to determine whether they are outliers and whether they should be eliminated from the data set to ensure an accurate representation of the measured value. In many cases, outliers arise from gross errors (or human errors) and do not accurately reflect the underlying phenomenon. In some cases, however, these apparent outliers reflect true phenomenological differences. In these cases, we can use statistical methods...
6.3K
Pulse Oximetry01:24

Pulse Oximetry

382
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...
382
Quality Control01:05

Quality Control

234
Quality control is one of the three cyclical quality assurance activities that help keep a system under statistical control. Typical quality control activities include creating quality control charts, conducting proficiency testing, and documenting and archiving results.
Quality control helps track data, visualize trends, and identify variations, making it easier to detect deviations that may affect the accuracy of an analysis. One way to do this is by generating a quality control chart, which...
234

You might also read

Related Articles

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

Sort by
Same author

Development and validation of a multimodal artificial intelligence-based model for predicting post-prostatectomy treatment outcomes from baseline biparametric prostate magnetic resonance imaging.

Diagnostic and interventional radiology (Ankara, Turkey)·2026
Same author

Development and Validation of a Multimodal AI-Based Model for Predicting Post-Prostatectomy Treatment Outcomes from Baseline Biparametric Prostate MRI.

medRxiv : the preprint server for health sciences·2026
Same author

A rapid evaluation of quality of sedation and ventilation care processes for critically ill patients in Vietnam.

PloS one·2026
Same author

Early individualized risk prediction using clinical data for children during the febrile phase of dengue in outpatient settings in Vietnam and Thailand.

PLOS digital health·2026
Same author

Foundation models enable wearable signal screening for cardiovascular disease among people living with HIV.

Communications medicine·2026
Same author

Artificial intelligence for improving decision-making in bacterial infection management: a narrative review.

The Journal of antimicrobial chemotherapy·2025
Same journal

Physiological load and breath-holding in artistic swimming: a scoping review establishing historical baselines and evidence gaps in the context of the 2022-2025 rule changes.

Frontiers in physiology·2026
Same journal

Effects of blood flow restriction exercise interventions on patellofemoral pain syndrome: a systematic review and meta-analysis.

Frontiers in physiology·2026
Same journal

Effects of resistance-type and cycling-type high-intensity interval training on cardiorespiratory fitness, lower-body strength, and anaerobic fitness.

Frontiers in physiology·2026
Same journal

Model-based estimates of sex differences in peak power and fatigue index in track cyclists using directed acyclic graphs, inverse probability of treatment weighting, and Bayesian modeling.

Frontiers in physiology·2026
Same journal

Fine-tuning striated muscle performance: conserved sarcomere-level mechanisms across insect and vertebrate systems.

Frontiers in physiology·2026
Same journal

Effects of different dual-task trainings on gait and cortical activation during obstacle crossing in stroke patients: a randomized controlled trial.

Frontiers in physiology·2026
See all related articles

Related Experiment Video

Updated: Aug 19, 2025

Quantitative Autonomic Testing
11:40

Quantitative Autonomic Testing

Published on: July 19, 2011

57.0K

vital_sqi: A Python package for physiological signal quality control.

Van-Khoa D Le1, Hai Bich Ho1, Stefan Karolcik2

  • 1Oxford University Clinicial Research Unit, Ho Chi Minh City, Vietnam.

Frontiers in Physiology
|November 28, 2022
PubMed
Summary
This summary is machine-generated.

A new Python package, vital_sqi, simplifies the analysis of electrocardiogram (ECG) and photoplethysmogram (PPG) signals. It offers numerous signal quality indices (SQIs) to ensure reliable vital sign monitoring from noisy patient data.

Keywords:
Python toolboxcontinuous monitoringelectrocardiogramopen-sourcephotoplethysmogramsignal quality indexvital signs

More Related Videos

SIVQ-LCM Protocol for the ArcturusXT Instrument
07:37

SIVQ-LCM Protocol for the ArcturusXT Instrument

Published on: July 23, 2014

8.7K
Software for Analysis of Heart Rate and Blood Pressure Time-series Data from the Valsalva Maneuver
14:28

Software for Analysis of Heart Rate and Blood Pressure Time-series Data from the Valsalva Maneuver

Published on: June 27, 2025

341

Related Experiment Videos

Last Updated: Aug 19, 2025

Quantitative Autonomic Testing
11:40

Quantitative Autonomic Testing

Published on: July 19, 2011

57.0K
SIVQ-LCM Protocol for the ArcturusXT Instrument
07:37

SIVQ-LCM Protocol for the ArcturusXT Instrument

Published on: July 23, 2014

8.7K
Software for Analysis of Heart Rate and Blood Pressure Time-series Data from the Valsalva Maneuver
14:28

Software for Analysis of Heart Rate and Blood Pressure Time-series Data from the Valsalva Maneuver

Published on: June 27, 2025

341

Area of Science:

  • Biomedical Engineering
  • Signal Processing
  • Medical Informatics

Background:

  • Electrocardiogram (ECG) and photoplethysmogram (PPG) signals are crucial for monitoring vital signs like heart rate, respiratory rate, and oxygen saturation.
  • Waveform analysis offers deeper insights into disease pathophysiology beyond summarized vital signs, but is hindered by noise and artifacts in recorded data.
  • Existing signal quality indices (SQIs) for ECG and PPG are fragmented, limiting their practical application, especially for users with limited programming experience.

Purpose of the Study:

  • To present a unified Python package, vital_sqi, for harmonizing and facilitating the use of state-of-the-art SQIs for ECG and PPG signals.
  • To enable users of varying programming expertise to perform robust signal quality control for patient monitoring data.
  • To provide tools for signal quality classification and establish relevant SQI thresholds for photoplethysmogram (PPG) data.

Main Methods:

  • Developed the vital_sqi Python package with a unified interface for accessing over 70 SQIs for ECG and PPG signals, incorporating seven different peak detectors.
  • Implemented pipeline and graphical user interface functionalities within vital_sqi to accommodate users with diverse programming skills.
  • Integrated functions for creating rule-based decision systems for signal segment quality classification using user-defined SQI thresholds.

Main Results:

  • The vital_sqi package successfully provides access to a comprehensive suite of SQIs for both ECG and PPG waveforms.
  • Pipelines within the package can process PPG and ECG data to generate customized SQI tables.
  • An experiment on an annotated PPG dataset yielded suggested thresholds for key PPG SQIs, demonstrating practical utility.

Conclusions:

  • The vital_sqi package democratizes the use of advanced signal quality assessment for ECG and PPG data in patient monitoring.
  • Its unified interface and user-friendly design facilitate the integration of SQIs into clinical decision-making and research.
  • The established PPG SQI thresholds provide a foundation for automated quality control and reliable vital sign extraction.