Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Pulse rhythm

Pulse rhythm

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...

You might also read

Related Articles

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

Sort by

Same author

Role of Preoperative Abdominal MRI in Preventing Futile Laparotomy or Diagnostic Staging Laparoscopy in the Setting of Pancreatic Adenocarcinoma.

World journal of surgery·2026

Same author

Development and Validation of Machine Learning Models to Optimize Imaging and Referrals for Dizziness in the Emergency Department.

Academic emergency medicine : official journal of the Society for Academic Emergency Medicine·2026

Same author

A Prospective Multi-Center Implementation Study to Improve the Diagnosis and Treatment of Benign Paroxysmal Positional Vertigo.

Academic emergency medicine : official journal of the Society for Academic Emergency Medicine·2025

Same author

Clinical insights: A comprehensive review of language models in medicine.

PLOS digital health·2025

Same author

Characterizing the services provided by family physicians in Ontario, Canada: A retrospective study using administrative billing data.

PloS one·2025

Same author

Associations between people experiencing homelessness (PEH) and neurodegenerative disorders (NDDs): A systematic review and meta-analysis.

PloS one·2024

Search research articles

Related Experiment Video

Updated: May 23, 2025

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

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

Published on: December 11, 2019

Enhancing Cardiopulmonary Resuscitation Quality Using a Smartwatch: Neural Network Approach for Algorithm Development

Gaurav Rao¹, David W Savage², Gabrielle Erickson²

¹Department of Mathematics and Computing, Faculty of Science, Saint Mary's University, Halifax, NS, Canada.

JMIR Mhealth and Uhealth

|May 5, 2025

Summary

This study developed a neural network model using smartwatch data to accurately assess cardiopulmonary resuscitation (CPR) quality in real-time. The model predicts compression depth and rate, aiming to improve survival rates from sudden cardiac arrest.

Keywords:

CPR feedback CPR performance cardiac arrest cardiopulmonary resuscitation chest compression compressions data collection efficacy emergency mobile phone monitoring network model neural network smart health smartwatch sudden cardiac arrest wearables

More Related Videos

Assessing the Accuracy of Fitness Smartwatch Data for Cardiovascular and Physical Activity Monitoring: A Validation Study in Digital Health

Assessing the Accuracy of Fitness Smartwatch Data for Cardiovascular and Physical Activity Monitoring: A Validation Study in Digital Health

Published on: February 21, 2025

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

Published on: April 19, 2019

Related Experiment Videos

Last Updated: May 23, 2025

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

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

Published on: December 11, 2019

Assessing the Accuracy of Fitness Smartwatch Data for Cardiovascular and Physical Activity Monitoring: A Validation Study in Digital Health

Assessing the Accuracy of Fitness Smartwatch Data for Cardiovascular and Physical Activity Monitoring: A Validation Study in Digital Health

Published on: February 21, 2025

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

Published on: April 19, 2019

Area of Science:

Biomedical Engineering
Artificial Intelligence in Healthcare
Emergency Medicine Technology

Background:

Sudden cardiac arrest (SCA) is a leading cause of mortality.
High-quality cardiopulmonary resuscitation (CPR) is critical for improving SCA survival rates.
Real-time monitoring of CPR quality (100-120 compressions/min, 50-60 mm depth) is challenging during emergencies.

Purpose of the Study:

To introduce a novel neural network model for predicting and assessing CPR quality.
To utilize accelerometer data from smartwatches for CPR quality assessment.
To develop a system for real-time feedback on CPR performance.

Main Methods:

Collected accelerometer data from 83 participants performing CPR on mannequins using smartwatches.
Aligned smartwatch data with gold-standard mannequin data.
Trained 1226 neural network models using 5-second intervals of compression data, optimizing hyperparameters and dataset configurations.

Main Results:

The optimal neural network model accurately predicted compression count (±0.8 deviation) and average depth (±3.8 mm) within 5-second intervals.
The model demonstrated superior accuracy in CPR quality assessment compared to existing methods.
A large, diverse dataset enhanced the model's robustness and reliability.

Conclusions:

Validated the efficacy of a neural network model for predicting CPR metrics from smartwatch accelerometer data.
The model shows significant promise for real-time CPR feedback, potentially improving SCA survival rates.
Future research will focus on deploying the model directly onto smartwatches for immediate, real-time application.