Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Electrical Activity of Heart During ECG For EMF And Non– EMF Trails.

View through CrossRef
Background: The ubiquitous use of mobile phones has raised concerns about potential health impacts, particularly regarding the effects of electromagnetic fields (EMF) on the human brain and heart. Heart rate variability (HRV) is a critical measure of heart health, influenced by brain function and susceptible to disruption by mobile phone radiation. Objective: This study aims to investigate the influence of mobile phone EMF on HRV, utilizing higher-order spectral analysis of ECG data to determine the functional relationship between the heart and brain under EMF exposure. Methods: Twenty healthy subjects from the University of Sindh, Jamshoro, participated in this experiment. The subjects, with an average age of 27 years, underwent ECG and EEG recording under varying conditions of EMF exposure. Each session involved comparisons of EMF effects over different durations and positions relative to the heart. Results: Statistically significant differences were observed in bicoherence values for chest positions V1 and V2, with non-EMF trials showing higher values compared to EMF trials. Coherence between ECG and EEG indicated significant changes in the 16-30 Hz frequency band during EMF exposure. Extended exposure of 40 minutes correlated with notable variations in HRV. Conclusion: The findings suggest that mobile phone EMF can significantly affect HRV parameters, particularly with prolonged exposure and when the EMF source is close to the heart. These results underscore the importance of developing guidelines for safe mobile phone usage.
Title: Electrical Activity of Heart During ECG For EMF And Non– EMF Trails.
Description:
Background: The ubiquitous use of mobile phones has raised concerns about potential health impacts, particularly regarding the effects of electromagnetic fields (EMF) on the human brain and heart.
Heart rate variability (HRV) is a critical measure of heart health, influenced by brain function and susceptible to disruption by mobile phone radiation.
Objective: This study aims to investigate the influence of mobile phone EMF on HRV, utilizing higher-order spectral analysis of ECG data to determine the functional relationship between the heart and brain under EMF exposure.
Methods: Twenty healthy subjects from the University of Sindh, Jamshoro, participated in this experiment.
The subjects, with an average age of 27 years, underwent ECG and EEG recording under varying conditions of EMF exposure.
Each session involved comparisons of EMF effects over different durations and positions relative to the heart.
Results: Statistically significant differences were observed in bicoherence values for chest positions V1 and V2, with non-EMF trials showing higher values compared to EMF trials.
Coherence between ECG and EEG indicated significant changes in the 16-30 Hz frequency band during EMF exposure.
Extended exposure of 40 minutes correlated with notable variations in HRV.
Conclusion: The findings suggest that mobile phone EMF can significantly affect HRV parameters, particularly with prolonged exposure and when the EMF source is close to the heart.
These results underscore the importance of developing guidelines for safe mobile phone usage.

Related Results

Electromagnetic Field Hypersensitivity, Cancer, Pre-Cancer & Abnormal Pure (-) Qi Gong Energy Emission
Electromagnetic Field Hypersensitivity, Cancer, Pre-Cancer & Abnormal Pure (-) Qi Gong Energy Emission
Within the past 10 years, the author found the close relationship between abnormal electromagnetic field (EMF) emitted from home environment, particularly in the bed, where each in...
EPD Electronic Pathogen Detection v1
EPD Electronic Pathogen Detection v1
Electronic pathogen detection (EPD) is a non - invasive, rapid, affordable, point- of- care test, for Covid 19 resulting from infection with SARS-CoV-2 virus. EPD scanning techno...
The Effects of Prenatal and Postnatal Exposure to 50-Hz and 3 mT Electromagnetic Field on Rat Testicular Development
The Effects of Prenatal and Postnatal Exposure to 50-Hz and 3 mT Electromagnetic Field on Rat Testicular Development
Background and objectives: It has been shown that electromagnetic fields (EMFs) have negative effects on the reproductive system. The biological effects of EMF on the male reproduc...
The effects of exposure to electromagnetic field on rat myocardium
The effects of exposure to electromagnetic field on rat myocardium
Exposure to electromagnetic fields (EMFs) causes increased adverse effects on biological systems. The aim of this study was to investigate the effects of EMF on heart tissue by bio...
Changes in soil quality on horse paddock trails and the influence of paddock grids
Changes in soil quality on horse paddock trails and the influence of paddock grids
Abstract Paddock trails offer horses the possibility to follow their natural urge to move and to behave interactively in a group association. To create appropriat...
Inter-beat and intra-beat ECG interval analysis based on state space and hidden markov models
Inter-beat and intra-beat ECG interval analysis based on state space and hidden markov models
Analyse des intervalles ECG inter- et intra-battement sur des modèles d'espace d'état et de Markov cachés Les maladies cardiovasculaires sont l'une des principales ...
Cardiac function in Vimba vimba embryos under electromagnetic exposure at hatchery-relevant intensities
Cardiac function in Vimba vimba embryos under electromagnetic exposure at hatchery-relevant intensities
The increasing expansion of energy infrastructure and anthropogenic transformation of the environment have introduced electromagnetic fields (EMFs) into aquatic ecosystems. While s...
Complex Deep Learning Models for Denoising of Human Heart ECG signals
Complex Deep Learning Models for Denoising of Human Heart ECG signals
Effective and powerful methods for denoising real electrocardiogram (ECG) signals are important for wearable sensors and devices. Deep Learning (DL) models have been used extensive...

Back to Top