Related Experiment Video
Updated: Jun 20, 2026

Assessing the Accuracy of Fitness Smartwatch Data for Cardiovascular and Physical Activity Monitoring: A Validation Study in Digital Health
Published on: February 21, 2025
Heart rate increment analysis is not effective for sleep-disordered breathing screening in patients with chronic
Thibaud Damy1, Marie-Pia D'Ortho, Brigitte Estrugo
1Fédération de Cardiologie, AP-HP, Groupe Henri-Mondor Albert-Chenevier, Hôpital Henri Mondor, 51 Avenue Maréchal de Lattre de Tassigny, Créteil, France. thibaud.damy@hmn.aphp.fr
Insights
Frequency domain analysis of heart rate variability is not a reliable screening tool for sleep-disordered breathing in patients with chronic heart failure. This method showed poor accuracy and is not recommended for this population.
Area of Science:
- Cardiology
- Sleep Medicine
- Biomedical Engineering
Background:
- Frequency domain analysis of heart rate variability (HRV) is a potential screening tool for sleep-disordered breathing (SDB) in the general population.
- Chronic heart failure (CHF) patients often experience SDB, impacting their health outcomes.
- Assessing the utility of HRV in SDB screening within the CHF population is crucial.
Purpose of the Study:
- To evaluate the effectiveness of frequency domain analysis of HRV as a screening tool for SDB in patients with chronic heart failure (CHF).
- To determine if %VLFI can accurately identify SDB in CHF patients.
Main Methods:
- Prospective study of 84 stable CHF patients (LVEF <45%, sinus rhythm).
- Simultaneous polygraphy (to measure AHI) and Holter ECG monitoring (to measure %VLFI).
- Correlation and ROC curve analysis to assess %VLFI's association with SDB (AHI ≥15 h⁻¹).
Main Results:
- SDB was diagnosed in 57.4% of the 54 evaluable CHF patients.
- %VLFI showed no significant correlation with AHI (r=0.12).
- The recommended %VLFI cut-off for the general population demonstrated low specificity (35%) and predictive values in CHF patients.
Conclusions:
- Heart rate variability analysis has significant limitations in screening for SDB in CHF patients.
- The %VLFI metric is not a recommended screening tool for SDB in this specific patient group.
- Further research may be needed to identify reliable SDB screening methods for CHF populations.
Abstract:
Frequency domain analysis of heart rate variation has been suggested as an effective screening tool for sleep-disordered breathing (SDB) in the general population. The aim of this study was to assess this method in patients with chronic congestive heart failure (CHF). We included prospectively 84 patients with stable CHF, left ventricular ejection fraction (LVEF) <45% and sinus rhythm. The patients underwent polygraphy to measure the apnoea/hypopnoea index (AHI) and simultaneous Holter electrocardiogram monitoring to measure the power spectral density of the very low frequency component of the heart rate increment, expressed as the percentage of total power spectral density [% very low frequency increment (%VLFI)]. %VLFI could be determined in 54 patients (mean age, 52.8 +/- 12.3 years; LVEF, 33.5 +/- 9.8%). SDB defined as AHI > or =15 h(-1) was diagnosed in 57.4% of patients. Percent VLFI was not correlated with AHI (r = 0.12). Receiver-operating characteristic curves constructed using various AHI cut-offs (5-30 h(-1)) failed to identify a %VLFI cut-off associated with SDB. The 2.4% VLFI cut-off recommended for the general population of patients with suspected SDB had low specificity (35%) and low positive and negative predictive values (35% and 54%, respectively). Heart rate increment analysis has several limitations in CHF patients and cannot be recommended as an SDB screening tool in the CHF population.
Related Concept Videos
Pulse rhythm
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac muscle...
Assessment of Ventilation I: Respiratory Rate
A Ventilation assessment is critical for monitoring a patient's health status. Respiration, one of the most accessible vital signs, provides insights into the function of numerous body systems and can indicate serious health issues, such as brainstem injuries from head trauma.
Critical Guidelines for Assessing Ventilation:
Heart Failure VI: Adjunct Therapies
Special considerations while measuring oxygen saturation
Ensuring accuracy in vital sign recordings while prioritizing patient comfort and minimizing anxiety is important.
Respiratory Volumes and Capacities I
Decreased pulse rate
There are specific risk factors that can elevate the likelihood of developing bradycardia. Advanced age is a significant factor, with bradycardia...

