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Related Concept Videos

Pulse rhythm01:30

Pulse rhythm

861
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...
861
Pulse Oximetry01:24

Pulse Oximetry

370
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...
370

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Related Experiment Video

Updated: Aug 1, 2025

Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis
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An Open-Source, Interoperable Architecture for Generating Real-Time Surgical Team Cognitive Alerts from Heart-Rate

David Arney1,2, Yi Zhang1, Lauren R Kennedy-Metz3

  • 1Medical Device Plug-and-Play Interoperability and Cybersecurity Program, Massachusetts General Hospital, Boston, MA 02115, USA.

Sensors (Basel, Switzerland)
|April 28, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a real-time system using heart-rate variability (HRV) to add clinical context to surgical alarms. This aims to reduce non-actionable alerts and improve surgical safety by monitoring clinician cognitive load.

Keywords:
cognitive loadheart-rate variabilityinteroperabilitysmart alarmssurgical data science

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Area of Science:

  • Biomedical Engineering
  • Clinical Informatics
  • Human Factors Engineering

Background:

  • Clinical alarm systems often lack context, leading to nuisance alarms and distractions during surgery.
  • Existing systems may not effectively integrate real-time physiological data of clinical staff.
  • There is a need for enhanced situational awareness in operating rooms to improve patient safety.

Purpose of the Study:

  • To develop and implement a novel, interoperable, real-time system for adding contextual awareness to clinical systems.
  • To monitor heart-rate variability (HRV) of clinical team members to estimate cognitive load.
  • To extend the OpenICE platform with capabilities for a context-aware operating room (OR).

Main Methods:

  • Designed an architecture for real-time capture, analysis, and presentation of HRV data from multiple clinicians.
  • Implemented the system on the open-source OpenICE interoperability platform with modularized data pipelines.
  • Processed real-time electrocardiographic (ECG) waveforms to estimate individual cognitive load and trigger alerts.

Main Results:

  • Successfully extended OpenICE with capabilities for real-time HRV processing from multiple clinicians.
  • Demonstrated a modularized data pipeline for simultaneous ECG waveform analysis.
  • Enabled the creation of estimates of individual cognitive load and context-aware alerts.

Conclusions:

  • The developed system provides contextual awareness by monitoring clinician HRV and cognitive load.
  • Standardized interfaces allow for flexible integration of hardware and software components.
  • Future clinical applications can leverage this approach to improve surgical safety and quality through context-aware information delivery.