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Related Experiment Video

Updated: May 30, 2026

Quantitative Autonomic Testing
11:40

Quantitative Autonomic Testing

Published on: July 19, 2011

Quantitative autonomic testing.

Peter Novak1

  • 1Department of Neurology, University of Massachusetts Medical School, USA. novakp@ummhc.org

Journal of Visualized Experiments : Jove
|July 27, 2011
PubMed
Summary
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A new quantitative autonomic testing protocol aids in diagnosing autonomic nervous system disorders. This validated method assesses cardiovagal, adrenergic, and sudomotor functions for improved clinical evaluation.

Area of Science:

  • Autonomic Neuroscience
  • Clinical Neurophysiology

Background:

  • Autonomic nervous system (ANS) dysfunction is common but often overlooked.
  • Quantitative autonomic testing is crucial for diagnosing and researching these disorders.
  • Existing autonomic tests lack widespread clinical validation and quantification.

Purpose of the Study:

  • To present a fully quantitative and clinically validated protocol for autonomic function testing.
  • To establish a standardized approach for evaluating cardiovagal, adrenergic, and sudomotor domains.
  • To introduce the Composite Autonomic Severity Scores (CASS) for quantifying dysautonomia.

Main Methods:

  • Utilized a tilt table, ECG, continuous blood pressure, and respiratory monitoring.
  • Included deep breathing, Valsalva maneuver, head-up tilt, and quantitative sudomotor axon test (QSART).

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Last Updated: May 30, 2026

Quantitative Autonomic Testing
11:40

Quantitative Autonomic Testing

Published on: July 19, 2011

Measuring Cardiac Autonomic Nervous System (ANS) Activity in Children
09:45

Measuring Cardiac Autonomic Nervous System (ANS) Activity in Children

Published on: April 29, 2013

A Quantitative Sensory Testing Paradigm to Obtain Measures of Pain Processing in Patients Undergoing Breast Cancer Surgery
07:14

A Quantitative Sensory Testing Paradigm to Obtain Measures of Pain Processing in Patients Undergoing Breast Cancer Surgery

Published on: January 18, 2018

  • Emphasized proper data acquisition, parameter extraction, and signal evaluation using specialized software.
  • Main Results:

    • Presented a comprehensive protocol for evaluating three major autonomic domains.
    • Introduced the Composite Autonomic Severity Scores (CASS) for severity and distribution assessment.
    • Provided normative data and the CASS algorithm for unbiased interpretation.

    Conclusions:

    • The presented protocol offers a validated, quantitative method for autonomic function assessment.
    • This standardized approach facilitates accurate diagnosis and research of dysautonomia.
    • The CASS provides a reliable tool for quantifying autonomic dysfunction severity.