Article

Smartphone-based monitoring of heart rate variability and resting heart rate predicts variability in symptom exacerbations in people with complex chronic illness

2024-11-29

Abstract excerpt

<title>Abstract</title> <p> <bold>Background:</bold> Complex chronic conditions like Long COVID and Myalgic Encephalomyelitis/Chronic Fatigue Syndrome involve energy limitations and changes in heart rate variability (HRV) and resting heart rate (HR). Mobile health technologies now offer real-time, valid measurements of HRV and HR, advancing symptom monitoring and management. Using a high-density dataset from an...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: f1bfb12b-5019-5c2e-a9b5-ae551828816c
DOI: 10.21203/rs.3.rs-5423422/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Smartphone-based monitoring of heart rate variability and resting heart rate predicts variability in symptom exacerbations in people with complex chronic illnessDOI 10.21203/rs.3.rs-5423422/v1Read

Symptom variation, correlations, and relationship to physical activity in Long Covid: intensive longitudinal studySemantic proximity Read

Wearable Technology in the Management of Complex Chronic Illness: Preliminary Survey Results on Self-Reported OutcomesSemantic proximity Read

Measuring COVID-19 and Influenza in the Real World via Person-Generated Health DataSemantic proximity Read

Smartphone-Derived Biobehavioral Rhythms and Their Associations with Depression, Anxiety, and Sleep DisturbanceSemantic proximity Read

Real-time Alerting System for COVID-19 Using Wearable DataSemantic proximity Read

Wearable heart rate variability monitoring identifies autonomic dysfunction and thresholds for post-exertional malaise in Long COVIDSemantic proximity Read

Interindividual differences in digital phenotypes of major depressive disorder: A passive sensing study using smartphone and wearable sensor data.Semantic proximity Read

Structured variation in daily life experience within and across individualsSemantic proximity Read

Prediction of deterioration from COVID-19 in patients in skilled nursing facilities using wearable and contact-free devices: a feasibility studySemantic proximity Read

Veteran Monitoring Initiative for Noninvasive Physiology and Depression (V-MIND) Exploring Physical Activity and Mental Health in UK Veterans: Protocol for an Observational Digital Phenotyping Study.Semantic proximity Read

Severity of Depression and Anxiety Symptoms Manifest in Physiological and Behavioral Metrics Collected from a Consumer-Grade Wearable RingSemantic proximity Read

Multidimensional analysis of smartphone overuse in insomnia: Integrating digital phenotyping with clinical assessment.Semantic proximity Read