Abstract

Abstract Background: Different clinicians use heart rate tests to answer different questions. The medical doctor for example might use heart rate to diagnose a medical condition. One approach in chiropractic practice is

Highlights

  • Different clinicians use heart rate information to answer different questions

  • The purpose of the study is to show how basic statistical analysis can be applied to the autonomic assessments of heart rate (HR) and heart rate variability (HRV) to determine whether autonomic change following

  • The study included two visits with one spinal adjustment - occurring on Visit 1

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Summary

Introduction

Different clinicians use heart rate information to answer different questions. The medical doctor for example might use heart rate data to determine the presence of a heart condition.The traditional objective of chiropractic care is to improve neurological function by adjusting chiropractic subluxation [1,2]. Different clinicians use heart rate information to answer different questions. Evidence-based methods such as resting heart rate variability (HRV) and resting heart rate (HR) help document whether neurological (autonomic) improvement has been accomplished [3]. One approach in chiropractic practice is to use heart rate information to assess the health of the autonomic nervous system. This retrospective case study uses outlier analysis for resting heart rate (HR) and resting heart rate variability (HRV) to assess the neurological efficacy of a single spinal adjustment for an individual patient.The purpose of the study is to show how basic statistical analysis can be used to assess neurological efficacy of a chiropractic adjustment on an individual patient basis

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