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 rhythm01:30

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 muscle...
Factors Influencing Heart Rate01:30

Factors Influencing Heart Rate

The heart rate, or pulse rate, is a vital indicator of cardiovascular health. It reflects the number of times the heart beats per minute. Various physiological and environmental factors influence heart rate, increasing or decreasing cardiac output. Understanding these factors is crucial for assessing heart function and identifying potential health issues.
Let us explore the significant factors affecting heart rate, including age, body temperature, posture, acute pain, chemical influences,...
Assessment of radial pulse01:11

Assessment of radial pulse

Assessment of Radial Pulse
The radial pulse, located at the wrist, is often the preferred site for assessing peripheral pulse because of its accessibility and dependability. The process of determining the radial pulse involves several steps:
Assessment of apical radial pulse01:25

Assessment of apical radial pulse

Apical-Radial (A-R) Pulse Assessment
The A-R pulse assessment involves simultaneous evaluation of the apical and radial pulses. When the apical and radial pulse rates vary, this assessment helps identify a pulse deficit.
Pre-Procedural Preparation
Special considerations while measuring pulse01:13

Special considerations while measuring pulse

Assessing a patient's pulse is a fundamental skill in healthcare, but certain situations require special attention:
Regulation of Heart Rates01:31

Regulation of Heart Rates

The regulation of heart rate is a complex process controlled by the autonomic nervous system (ANS), hormonal influences, and intrinsic cardiac mechanisms. The ANS has two main components: the sympathetic nervous system (SNS) and the parasympathetic nervous system (PNS).
The SNS increases heart rate through the release of norepinephrine and epinephrine, which act on beta-1 adrenergic receptors in the heart. This action increases the rate of depolarization in the sinoatrial (SA) node, the heart's...

You might also read

Related Articles

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

Sort by
Same author

Associations between asthma trigger reports, mental health conditions, and asthma morbidity among world trade center rescue and recovery workers.

The Journal of asthma : official journal of the Association for the Care of Asthma·2018
Same author

A simple strategy for faster induction and more cost-effective use of anesthetic vapor.

Journal of clinical monitoring and computing·2003
Same author

Bone morphogenetic protein 2 induces the expression of cementum attachment protein in human periodontal ligament clones.

Connective tissue research·2002
Same author

Immunolocalization of a human cementoblastoma-conditioned medium-derived protein.

Journal of dental research·2002
Same author

Compliance compensation of the Narkomed 6000 explained.

Anesthesiology·2001
Same author

Gastrointestinal carcinoids: characterization by site of origin and hormone production.

Annals of surgery·2000
Same journal

Logistics of conducting a large number of individual sessions with a full-scale patient simulator at a scientific meeting.

Journal of clinical monitoring·1998
Same journal

Electrocardiogram trace paradoxically filtered by activation of an electrosurgical unit.

Journal of clinical monitoring·1998
Same journal

A robust sensor fusion method for heart rate estimation.

Journal of clinical monitoring·1998
Same journal

Hemocue, an accurate bedside method of hemoglobin measurement?

Journal of clinical monitoring·1998
Same journal

A new technique to measure and track blood resistivity in intracardiac impedance volumetry.

Journal of clinical monitoring·1998
Same journal

Performance of an electrochemical carbon monoxide monitor in the presence of anesthetic gases.

Journal of clinical monitoring·1998
See all related articles

Related Experiment Video

Updated: Jun 26, 2026

Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking
07:21

Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking

Published on: February 13, 2011

Robust sensor fusion improves heart rate estimation: clinical evaluation

J M Feldman1, M H Ebrahim, I Bar-Kana

  • 1Department of Anesthesiology, Allegheny University of the Health Sciences, Philadelphia, PA 19129, USA. FeldmanJ@auhs.edu

Journal of Clinical Monitoring
|March 12, 1998
PubMed
Summary
This summary is machine-generated.

Robust Sensor Fusion (RSF) improves heart rate (HR) monitoring by using redundant sensor data. This method enhances HR data quality and reduces false alarms in clinical settings.

More Related Videos

Estimating Bilateral Atrial Function by Cardiovascular Magnetic Resonance Feature Tracking in Patients with Paroxysmal Atrial Fibrillation
08:10

Estimating Bilateral Atrial Function by Cardiovascular Magnetic Resonance Feature Tracking in Patients with Paroxysmal Atrial Fibrillation

Published on: July 20, 2022

Assessing the Accuracy of Fitness Smartwatch Data for Cardiovascular and Physical Activity Monitoring: A Validation Study in Digital Health
05:51

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

Published on: February 21, 2025

Related Experiment Videos

Last Updated: Jun 26, 2026

Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking
07:21

Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking

Published on: February 13, 2011

Estimating Bilateral Atrial Function by Cardiovascular Magnetic Resonance Feature Tracking in Patients with Paroxysmal Atrial Fibrillation
08:10

Estimating Bilateral Atrial Function by Cardiovascular Magnetic Resonance Feature Tracking in Patients with Paroxysmal Atrial Fibrillation

Published on: July 20, 2022

Assessing the Accuracy of Fitness Smartwatch Data for Cardiovascular and Physical Activity Monitoring: A Validation Study in Digital Health
05:51

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

Published on: February 21, 2025

Area of Science:

  • Biomedical Engineering
  • Clinical Monitoring
  • Data Fusion

Background:

  • Accurate heart rate (HR) monitoring is critical in clinical settings.
  • Existing methods can be prone to inaccuracies and false alarms due to single-sensor limitations.

Purpose of the Study:

  • To evaluate Robust Sensor Fusion (RSF) for improving heart rate (HR) data quality.
  • To assess if RSF can decrease false and missed heart rate alarms.

Main Methods:

  • Investigated 85 monitoring periods across operating room and ICU settings.
  • Collected HR data from ECG, SpO2, and IAC sensors at 5-second intervals.
  • Applied RSF to derive fused HR estimates and compared them against a manually annotated reference HR.

Main Results:

  • The fused HR estimate from RSF was consistently equal to or better than individual sensor estimates.
  • RSF significantly reduced the occurrence of false heart rate alarms compared to individual sensors.
  • The reduction in false alarms did not lead to an unacceptable increase in missed alarms.

Conclusions:

  • Leveraging redundant sensor measurements enhances HR estimation accuracy in clinical environments.
  • RSF improves the quality of monitored data and minimizes nuisance alarms, increasing the utility of patient monitors.