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 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

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.

Power spectral analysis of heart rate variability as a new method for assessing autonomic activity in the rat

1994 ◽  
Vol 27 (4) ◽  
pp. 333-337 ◽  
Author(s):  
Masayoshi Kuwahara ◽  
Ken-ichi Yayou ◽  
Keiji Ishii ◽  
Shin-ichi Hashimoto ◽  
Hirokazu Tsubone ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Spectral Analysis ◽  
Power Spectral Analysis ◽  
New Method ◽  
Autonomic Activity ◽  
Power Spectral
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