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

Prognostic value of initial hemoglobin levels for neurological outcomes in patients with out-of-hospital cardiac arrest in South Korea.

Acute and critical care·2026

Same author

Steroid administration, timing, and dose in patients with septic shock in the emergency department: retrospective analysis of a multicenter prospective cohort study.

Scientific reports·2026

Same author

Red Blood Cell Transfusion Beyond Restrictive Thresholds in Patients With Septic Shock and an Elevated Lactate Level: A Multicenter Observational Study.

Journal of Korean medical science·2026

Same author

Early vasopressin administration in septic shock: A systematic review, meta-analysis, and multicenter retrospective observational study.

European journal of internal medicine·2026

Same author

Impact of bystander and patient sex on cardiopulmonary resuscitation provision in out-of-hospital cardiac arrest.

Emergency medicine journal : EMJ·2026

Same author

Effect of norepinephrine initiation timing on mortality in septic shock: a multicenter cohort study.

BMC anesthesiology·2026

Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026

Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026

Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026

Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026

Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026

Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Aug 13, 2025

Real-Time Monitoring of Neurocritical Patients with Diffuse Optical Spectroscopies

Real-Time Monitoring of Neurocritical Patients with Diffuse Optical Spectroscopies

Published on: November 19, 2020

ROMI: A Real-Time Optical Digit Recognition Embedded System for Monitoring Patients in Intensive Care Units.

Sanghoon Jeon¹, Byuk Sung Ko¹, Sang Hyuk Son²

¹Department of Emergency Medicine, College of Medicine, Hanyang University, Seoul 04763, Republic of Korea.

Sensors (Basel, Switzerland)

|January 21, 2023

Summary

This summary is machine-generated.

A novel robotic system, ROMI, uses optical digit recognition to monitor standalone medical devices in intensive care units (ICUs). This technology enables non-face-to-face patient monitoring, enhancing safety and efficiency for medical staff.

Keywords:

embedded systems intensive care units medical devices optical digit recognition real-time monitoring

More Related Videos

Non-Invasive Monitoring of Microvascular Oxygenation and Reactive Hyperemia using Hybrid, Near-Infrared Diffuse Optical Spectroscopy for Critical Care

Non-Invasive Monitoring of Microvascular Oxygenation and Reactive Hyperemia using Hybrid, Near-Infrared Diffuse Optical Spectroscopy for Critical Care

Published on: May 10, 2024

Integrated Photoacoustic Ophthalmoscopy and Spectral-domain Optical Coherence Tomography

Integrated Photoacoustic Ophthalmoscopy and Spectral-domain Optical Coherence Tomography

Published on: January 15, 2013

Related Experiment Videos

Last Updated: Aug 13, 2025

Real-Time Monitoring of Neurocritical Patients with Diffuse Optical Spectroscopies

Real-Time Monitoring of Neurocritical Patients with Diffuse Optical Spectroscopies

Published on: November 19, 2020

Non-Invasive Monitoring of Microvascular Oxygenation and Reactive Hyperemia using Hybrid, Near-Infrared Diffuse Optical Spectroscopy for Critical Care

Non-Invasive Monitoring of Microvascular Oxygenation and Reactive Hyperemia using Hybrid, Near-Infrared Diffuse Optical Spectroscopy for Critical Care

Published on: May 10, 2024

Integrated Photoacoustic Ophthalmoscopy and Spectral-domain Optical Coherence Tomography

Integrated Photoacoustic Ophthalmoscopy and Spectral-domain Optical Coherence Tomography

Published on: January 15, 2013

Area of Science:

Medical Technology
Robotics
Computer Vision

Background:

Intensive care units (ICUs) require constant patient monitoring, often using the Internet of Things (IoT).
The COVID-19 pandemic necessitated non-face-to-face monitoring solutions for patient and staff safety.
Standalone medical devices in ICUs lack communication capabilities, demanding manual checks by healthcare professionals.

Purpose of the Study:

To propose ROMI, a real-time optical digit recognition embedded system for monitoring medical devices in ICUs.
To enable non-face-to-face monitoring of medical device data through a mobile robotic system.
To enhance patient care by providing timely and efficient monitoring of critical medical equipment.

Main Methods:

Developed ROMI, a mobile robot employing digit localization, classification, and annotation for real-time LCD screen reading.
Utilized Matlab Simulink for system development and integrated it with deep learning models like AlexNet.
Deployed the system on NVIDIA GPU embedded platforms (Jetson Nano, Xavier NX, AGX Xavier) for performance evaluation.

Main Results:

Achieved a maximum digit recognition performance of 0.989 mAP on AlexNet.
Evaluated runtime performance across ten pre-trained Convolutional Neural Network (CNN) models and three NVIDIA GPU platforms.
Demonstrated the feasibility of real-time digit recognition for medical devices on embedded systems.

Conclusions:

ROMI offers a promising solution for non-face-to-face monitoring of standalone medical devices in ICUs.
The system can support medical staff by automating the reading of device displays, improving patient care.
This robotic system contributes to safer and more effective ICU operations, especially in pandemic situations.