Pilot Study of Real-World Monitoring of the Heart Rate Variability in Amyotrophic Lateral Sclerosis

AimsCardiovascular dysautonomia may impact the quality of life and survival in amyotrophic lateral sclerosis (ALS). Such dysfunction is not systematically assessed in these patients. Wearable devices could help. The feasibility of a wearable biosensor to detect heart rate variability (HRV), a physio...

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Main Authors: Alexander A. Brown, Bradley J. Ferguson, Vovanti Jones, Bruce E. Green, Justin D. Pearre, Ifeoma A. Anunoby, David Q. Beversdorf, Richard J. Barohn, Carmen M. Cirstea
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-07-01
Series:Frontiers in Artificial Intelligence
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/frai.2022.910049/full
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author Alexander A. Brown
Bradley J. Ferguson
Bradley J. Ferguson
Vovanti Jones
Bruce E. Green
Justin D. Pearre
Ifeoma A. Anunoby
David Q. Beversdorf
David Q. Beversdorf
David Q. Beversdorf
Richard J. Barohn
Carmen M. Cirstea
author_facet Alexander A. Brown
Bradley J. Ferguson
Bradley J. Ferguson
Vovanti Jones
Bruce E. Green
Justin D. Pearre
Ifeoma A. Anunoby
David Q. Beversdorf
David Q. Beversdorf
David Q. Beversdorf
Richard J. Barohn
Carmen M. Cirstea
author_sort Alexander A. Brown
collection DOAJ
description AimsCardiovascular dysautonomia may impact the quality of life and survival in amyotrophic lateral sclerosis (ALS). Such dysfunction is not systematically assessed in these patients. Wearable devices could help. The feasibility of a wearable biosensor to detect heart rate variability (HRV), a physiological marker of sympathovagal balance, was studied for the first time in real-world settings in ALS.MethodsFive ALS patients (two early/three late; one bulbar-onset; mildly-to-moderately disabled) and five age/sex/BMI/comorbidities-matched controls underwent assessment of 3-day HRV via VitalConnect biosensor (worn on the left thorax). De-identified data captured by the biosensor were transferred to a secure cloud server via a relay Bluetooth device. Baseline ALS severity/anxiety and physical activity during testing were documented/quantified. Time-domain HRV measures (i.e., pNN50) were analyzed.ResultsAn overall 3-day abnormal HRV (pNN50 < 3%), was found in three out of five patients (mean ± SD for the group, 2.49 ± 1.51). Similar changes were reported in controls (12.32 ± 21.14%). There were no statistically significant relationships between pNN50 values and baseline anxiety or physical activity during the tested days (p > 0.05 for both groups). A negative correlation was found between pNN50 values and age in patients (p = 0.01) and controls (p = 0.09), which is similar with what is found in the general population. In line with prior studies, pNN50 values were independent of disease stage (p = 0.6) and disability (p = 0.4).ConclusionsThese preliminary results suggest that remote HRV measures using the VitalConnect is feasible and may constitute an improved strategy to provide insights into sympathovagal balance in ALS. Further work with larger sample sizes is warranted.
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spelling doaj.art-fa24ce23e85b494399f41c001e1cdbe22022-12-22T02:29:24ZengFrontiers Media S.A.Frontiers in Artificial Intelligence2624-82122022-07-01510.3389/frai.2022.910049910049Pilot Study of Real-World Monitoring of the Heart Rate Variability in Amyotrophic Lateral SclerosisAlexander A. Brown0Bradley J. Ferguson1Bradley J. Ferguson2Vovanti Jones3Bruce E. Green4Justin D. Pearre5Ifeoma A. Anunoby6David Q. Beversdorf7David Q. Beversdorf8David Q. Beversdorf9Richard J. Barohn10Carmen M. Cirstea11Department of Psychological Sciences, College of Arts and Science, University of Missouri, Columbia, MO, United StatesDepartment of Health Psychology, School of Health Professions, University of Missouri, Columbia, MO, United StatesDepartment of Radiology, School of Medicine, University of Missouri, Columbia, MO, United StatesDepartment of Physical Medicine and Rehabilitation, School of Medicine, University of Missouri, Columbia, MO, United StatesSchool of Medicine, University of Missouri, Columbia, MO, United StatesSchool of Medicine, University of Missouri, Columbia, MO, United StatesCollege of Arts and Science, University of Missouri, Columbia, MO, United StatesDepartment of Health Psychology, School of Health Professions, University of Missouri, Columbia, MO, United StatesDepartment of Radiology, School of Medicine, University of Missouri, Columbia, MO, United StatesDepartment of Neurology, School of Medicine, University of Missouri, Columbia, MO, United StatesDepartment of Neurology, School of Medicine, University of Missouri, Columbia, MO, United StatesDepartment of Health Psychology, School of Health Professions, University of Missouri, Columbia, MO, United StatesAimsCardiovascular dysautonomia may impact the quality of life and survival in amyotrophic lateral sclerosis (ALS). Such dysfunction is not systematically assessed in these patients. Wearable devices could help. The feasibility of a wearable biosensor to detect heart rate variability (HRV), a physiological marker of sympathovagal balance, was studied for the first time in real-world settings in ALS.MethodsFive ALS patients (two early/three late; one bulbar-onset; mildly-to-moderately disabled) and five age/sex/BMI/comorbidities-matched controls underwent assessment of 3-day HRV via VitalConnect biosensor (worn on the left thorax). De-identified data captured by the biosensor were transferred to a secure cloud server via a relay Bluetooth device. Baseline ALS severity/anxiety and physical activity during testing were documented/quantified. Time-domain HRV measures (i.e., pNN50) were analyzed.ResultsAn overall 3-day abnormal HRV (pNN50 < 3%), was found in three out of five patients (mean ± SD for the group, 2.49 ± 1.51). Similar changes were reported in controls (12.32 ± 21.14%). There were no statistically significant relationships between pNN50 values and baseline anxiety or physical activity during the tested days (p > 0.05 for both groups). A negative correlation was found between pNN50 values and age in patients (p = 0.01) and controls (p = 0.09), which is similar with what is found in the general population. In line with prior studies, pNN50 values were independent of disease stage (p = 0.6) and disability (p = 0.4).ConclusionsThese preliminary results suggest that remote HRV measures using the VitalConnect is feasible and may constitute an improved strategy to provide insights into sympathovagal balance in ALS. Further work with larger sample sizes is warranted.https://www.frontiersin.org/articles/10.3389/frai.2022.910049/fullamyotrophic lateral sclerosisheart rate variabilityautonomic nervous systemVista solutionmagnetic resonance imaginginsula
spellingShingle Alexander A. Brown
Bradley J. Ferguson
Bradley J. Ferguson
Vovanti Jones
Bruce E. Green
Justin D. Pearre
Ifeoma A. Anunoby
David Q. Beversdorf
David Q. Beversdorf
David Q. Beversdorf
Richard J. Barohn
Carmen M. Cirstea
Pilot Study of Real-World Monitoring of the Heart Rate Variability in Amyotrophic Lateral Sclerosis
Frontiers in Artificial Intelligence
amyotrophic lateral sclerosis
heart rate variability
autonomic nervous system
Vista solution
magnetic resonance imaging
insula
title Pilot Study of Real-World Monitoring of the Heart Rate Variability in Amyotrophic Lateral Sclerosis
title_full Pilot Study of Real-World Monitoring of the Heart Rate Variability in Amyotrophic Lateral Sclerosis
title_fullStr Pilot Study of Real-World Monitoring of the Heart Rate Variability in Amyotrophic Lateral Sclerosis
title_full_unstemmed Pilot Study of Real-World Monitoring of the Heart Rate Variability in Amyotrophic Lateral Sclerosis
title_short Pilot Study of Real-World Monitoring of the Heart Rate Variability in Amyotrophic Lateral Sclerosis
title_sort pilot study of real world monitoring of the heart rate variability in amyotrophic lateral sclerosis
topic amyotrophic lateral sclerosis
heart rate variability
autonomic nervous system
Vista solution
magnetic resonance imaging
insula
url https://www.frontiersin.org/articles/10.3389/frai.2022.910049/full
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