scholarly journals Quantification of Feto-Maternal Heart Rate from Abdominal ECG Signal Using Empirical Mode Decomposition for Heart Rate Variability Analysis

Technologies ◽  
2017 ◽  
Vol 5 (4) ◽  
pp. 68 ◽  
Author(s):  
Abdullah Bin Queyam ◽  
Sharvan Kumar Pahuja ◽  
Dilbag Singh
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Empirical Mode Decomposition ◽  
Heart Rate Variability Analysis ◽  
Ecg Signal ◽  
Maternal Heart Rate ◽  
Variability Analysis ◽  
Mode Decomposition

Motion Artifact Removal in Ambulatory ECG Signal for Heart Rate Variability Analysis

2019 ◽  
Vol 19 (24) ◽  
pp. 12432-12442 ◽  
Author(s):  
Deepak Berwal ◽  
Vandana C.R. ◽  
Sourya Dewan ◽  
Jiji C.V. ◽  
Maryam Shojaei Baghini
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Motion Artifact ◽  
Heart Rate Variability Analysis ◽  
Ecg Signal ◽  
Artifact Removal ◽  
Variability Analysis ◽  
Ambulatory Ecg

scholarly journals Heart Rate Variability Analyses in Parkinson’s Disease: A Systematic Review and Meta-Analysis

2021 ◽  
Vol 11 (8) ◽  
pp. 959
Author(s):  
Konstantin G. Heimrich ◽  
Thomas Lehmann ◽  
Peter Schlattmann ◽  
Tino Prell
Keyword(s):  
Parkinson’S Disease ◽  
Heart Rate ◽  
Parkinson's Disease ◽  
Heart Rate Variability ◽  
Meta Analysis ◽  
Cardiac Activity ◽  
Heart Rate Variability Analysis ◽  
Short Term ◽  
Variability Analysis ◽  
Parasympathetic Regulation

Recent evidence suggests that the vagus nerve and autonomic dysfunction play an important role in the pathogenesis of Parkinson’s disease. Using heart rate variability analysis, the autonomic modulation of cardiac activity can be investigated. This meta-analysis aims to assess if analysis of heart rate variability may indicate decreased parasympathetic tone in patients with Parkinson’s disease. The MEDLINE, EMBASE and Cochrane Central databases were searched on 31 December 2020. Studies were included if they: (1) were published in English, (2) analyzed idiopathic Parkinson’s disease and healthy adult controls, and (3) reported at least one frequency- or time-domain heart rate variability analysis parameter, which represents parasympathetic regulation. We included 47 studies with 2772 subjects. Random-effects meta-analyses revealed significantly decreased effect sizes in Parkinson patients for the high-frequency spectral component (HFms2) and the short-term measurement of the root mean square of successive normal-to-normal interval differences (RMSSD). However, heterogeneity was high, and there was evidence for publication bias regarding HFms2. There is some evidence that a more advanced disease leads to an impaired parasympathetic regulation. In conclusion, short-term measurement of RMSSD is a reliable parameter to assess parasympathetically impaired cardiac modulation in Parkinson patients. The measurement should be performed with a predefined respiratory rate.

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