scholarly journals Prediction of GABA receptor antagonist-induced convulsion in cynomolgus monkeys by combining machine learning and heart rate variability analysis

2021 ◽  
Vol 112 ◽  
pp. 107127
Author(s):  
Shoya Nagata ◽  
Koichi Fujiwara ◽  
Kazuhiro Kuga ◽  
Harushige Ozaki
Keyword(s):  
Machine Learning ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Receptor Antagonist ◽  
Gaba Receptor ◽  
Heart Rate Variability Analysis ◽  
Cynomolgus Monkeys ◽  
Variability Analysis

Utility of heart rate variability analysis in telemetrized cynomolgus monkeys

2020 ◽  
Vol 105 ◽  
pp. 106827
Author(s):  
Tsuyoshi Uchino ◽  
Hikaru Fukuda ◽  
Masaaki Ban ◽  
Tatsuya Jikuzono
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Heart Rate Variability Analysis ◽  
Cynomolgus Monkeys ◽  
Variability Analysis

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.

Heart rate variability analysis using a ballistocardiogram during Valsalva manoeuvre and post exercise

2011 ◽  
Vol 32 (8) ◽  
pp. 1239-1264 ◽  
Author(s):  
Jae Hyuk Shin ◽  
Su Hwan Hwang ◽  
Min Hye Chang ◽  
Kwang Suk Park
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Valsalva Manoeuvre ◽  
Heart Rate Variability Analysis ◽  
Post Exercise ◽  
Variability Analysis

scholarly journals Heart rate variability: Analysis of time-domain indices in patients with chronic Chagas disease before and after an exercise program

2013 ◽  
Vol 32 (3) ◽  
pp. 219-227 ◽  
Author(s):  
Marcus Vinicius Amaral da Silva Souza ◽  
Carla Cristiane Santos Soares ◽  
Juliana Rega de Oliveira ◽  
Cláudia Rosa de Oliveira ◽  
Paloma Hargreaves Fialho ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Chagas Disease ◽  
Time Domain ◽  
Exercise Program ◽  
Heart Rate Variability Analysis ◽  
Variability Analysis ◽  
Before And After ◽  
Chronic Chagas Disease

scholarly journals SinusCor: an advanced tool for heart rate variability analysis

2017 ◽  
Vol 16 (1) ◽  
Author(s):  
Rhenan Bartels ◽  
Leonardo Neumamm ◽  
Tiago Peçanha ◽  
Alysson Roncally Silva Carvalho
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Heart Rate Variability Analysis ◽  
Variability Analysis ◽  
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