scholarly journals Experimental Results on a New Method for Analysis of Heart Rate Variability

2014 ◽  
Vol 04 (08) ◽  
pp. 385-389 ◽  
Author(s):  
Elio Conte ◽  
William Giroldini ◽  
Vincenza Laterza ◽  
Sergio Conte ◽  
Maria Pieralice ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Experimental Results ◽  
New Method

Estimation of Heart Rate Variability Fluctuations by Wavelet Transform

2011 ◽  
Vol 57 (3) ◽  
pp. 395-400 ◽  
Author(s):  
Anton Popov ◽  
Yevgeniy Karplyuk ◽  
Volodymyr Fesechko
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Wavelet Transform ◽  
Experimental Results ◽  
Dyadic Wavelet ◽  
Heart Rate Fluctuations ◽  
Slow Heart Rate ◽  
Dyadic Wavelet Transform

Estimation of Heart Rate Variability Fluctuations by Wavelet TransformTechnique for separate estimation of fast and slow fluctuations in the heart rate signal is developed. The orthogonal dyadic wavelet transform is used to separate the slow heart rate changes in approximation part of decomposition and fast changes in detail parts. Experimental results using the recordings from persons practicing Chi meditation demonstrated the applicability of estimation heart rate fluctuations with the proposed approach.

scholarly journals Ventilatory threshold detection: a new method based on heart rate variability

2005 ◽  
Author(s):  
G. Merati ◽  
S. Rampichini ◽  
E. Ce ◽  
M. Sangiovanni ◽  
P. Castiglioni ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Ventilatory Threshold ◽  
New Method ◽  
Threshold Detection

scholarly journals When is it good to use wristband devices to measure HRV?: Introducing a new method for evaluating the quality of data from photophlethysmography-based HRV devices

2019 ◽  
Author(s):  
William Ryan ◽  
James Conigrave ◽  
Geetanjali Basarkod ◽  
Joseph Ciarrochi ◽  
Baljinder K. Sahdra
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Data Quality ◽  
Error Detection ◽  
Cardiac Activity ◽  
Motion Artifact ◽  
New Method ◽  
Measurement Tool ◽  
Quality Of Data

Objective: Recent technological advances have led to the proliferation of ambulatory devices for non-invasively assessing cardiac activity. While these devices have exciting implications for conducting research outside the laboratory, it is critical that this increased mobility does not compromise data quality. As a test case, we assess the efficacy of Empatica’s E4, a high-end wristband device designed to assess Heart Rate Variability (HRV) through the use of photoplethysmography. Approach: We compare the E4 to traditional, wired electrocardiogram measures across a variety of conditions, including seated, supine, and standing baselines, as well as typing and grip strength tasks. Most importantly, we introduce and demonstrate the efficacy of a new method for determining the amount of error in HRV estimates derived from the E4 and a technique for adjusting error tolerance. Main Results: Results indicate that the E4 is severely compromised by motion artifact, resulting in a high percentage of missing data across all conditions except seated and supine baselines. Employing error adjustment yielded more robust results, but at the cost of significantly reducing sample size where motion artifact was present. Significance: These results call into question the wristband’s efficacy as an HRV measurement tool in most in-vivo conditions. We recommend that researchers interested in using photoplethysmography-based HRV devices use caution and evaluate the data quality using methods for error detection and tolerance, such as the one presented here.Keywords: heart rate variability, ambulatory photoplethysmography, electrocardiogram.

A new method for analysis of heart rate variability: counting statistics of 1/f fluctuations

1993 ◽  
Vol 68 (4) ◽  
pp. 299-306 ◽  
Author(s):  
Malte Meesmann ◽  
Ferdinand Grüneis ◽  
Peter Flachenecker ◽  
Klaus-Dietrich Kniffki
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
New Method ◽  
Counting Statistics

scholarly journals Effectiveness of Interstitial Laser Acupuncture Depends upon Dosage: Experimental Results from Electrocardiographic and Electrocorticographic Recordings

2013 ◽  
Vol 2013 ◽  
pp. 1-4 ◽  
Author(s):  
Wei He ◽  
Gerhard Litscher ◽  
Xiang-Hong Jing ◽  
Hong Shi ◽  
Xiao-Yu Wang ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Acupuncture Therapy ◽  
Experimental Results ◽  
Time Dependent ◽  
Laser Acupuncture ◽  
Sprague Dawley ◽  
Sprague Dawley Rats ◽  
Interstitial Laser ◽  
Electroencephalogram Eeg

The purpose of this study was to evaluate the influence of the duration of interstitial laser acupuncture therapy effects on neurovegetative and neurobioelectrical parameters like heart rate (HR), heart rate variability (HRV), and electroencephalogram (EEG). We investigated 6 male Sprague-Dawley rats. They underwent 10 min, 20 min, and 30 min interstitial laser acupuncture (in randomized order, with a break of at least 30 min between the different measurement conditions) at the acupoint Neiguan. HR changed significantly only during 20 min red laser stimulation, whereas 10 and 30 min stimulation did not induce significant changes. HRV did not change significantly during any of the different durations; however, an increase was found during 20 min irradiation. Neither the LF/HF ratio of HRV nor the integrated EEG showed significant changes. In this study, it could be experimentally proved that some effects of laser acupuncture are time dependent, and therefore the dosage, as well known from theory, also depends on the time factor. We could especially demonstrate that different treatment times lead to different effects on neurovegetative and neurobioelectrical parameters. Further studies are needed to verify or refute these results.

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