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Updated: Jun 5, 2025

Calculating Heart Rate Variability from ECG Data from Youth with Cerebral Palsy During Active Video Game Sessions
Published on: June 5, 2019
Changes in heart rate variability during an eHealth behavior change intervention program in patients with
T Roovers1, M Habibovic1, P Lodder1,2
1Department of Medical and Clinical Psychology, Center of Research on Psychological Disorders and Somatic Diseases (CoRPS), Tilburg University, Tilburg, the Netherlands.
This study found that while health behaviors improved during an eHealth intervention for cardiovascular disease patients, heart rate variability (HRV) did not increase. Improvements in health behaviors were not associated with changes in parasympathetic autonomic nervous system activity.
Area of Science:
- Cardiology
- Autonomic Nervous System Research
- Digital Health Interventions
Background:
- Cardiovascular disease (CVD) risk is linked to lifestyle factors like physical inactivity, diet, and smoking.
- The autonomic nervous system (ANS) plays a crucial role in the relationship between health behaviors and CVD.
- Understanding how ANS activity changes with behavioral interventions is key for CVD management.
Purpose of the Study:
- To investigate changes in ECG-based autonomic nervous system (ANS) activity during an eHealth behavior intervention.
- To determine if improvements in health behaviors correlate with increased parasympathetic ANS activity.
- To analyze heart rate variability (HRV) as an index of ANS function in CVD patients undergoing intervention.
Main Methods:
- Analysis of data from the DoCHANGE-2 eHealth intervention study (NCT03178305) in CVD patients.
- Calculation of heart rate variability (RMSSD) from 40-second home-recorded ECGs at baseline, 3, and 6 months.
- Utilized linear mixed models and general linear models to analyze changes in HRV and health behaviors.
Main Results:
- A significant decrease in RMSSD was observed over the 6-month intervention period.
- Health behaviors showed significant improvement during the initial 3 months of the intervention.
- Higher BMI and older age were associated with lower RMSSD, but no consistent link was found between health behavior changes and HRV changes.
Conclusions:
- Changes in heart rate variability (HRV) during the eHealth intervention were not associated with improvements in health behaviors.
- The study highlights a potential dissociation between behavioral changes and ANS markers in CVD patients.
- Further research with larger, well-controlled studies is needed to validate these findings.
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