Effect Of Compression Garments On Cardiovascular Function During Recovery Phase

The aim of this present research was to determine whether the cardiovascular function has been affected by wearing compression garments during the recovery phase. Fourteen subjects (men, $\text{n}=$7; women, $\textbf{n}=$7; $24.7 \pm 4.5$ years, $166.0 \pm 7.6$ cm; $60.9 \pm 12.0$ kg) completed a running protocol on a treadmill. Each subject participated in two running experiments, using either compression garments (CGs) or non- compression garments (NCGs) during exercise and 2 hours recovering time. Electrocardiogram (ECG) signals were collected during 2 hours recovery using wearable sensors. The present work indicated a statistically significant difference between CGs and NCGs from 90 minutes recovery onwards $( \mathrm {p}<0.05)$. ECG parameters showed some significant difference in heart rate (HR), ST and corrected QT (QTc $) ( \mathrm {p}<0.05)$. Therefore, the cardiovascular function was positively influenced by the application of CGs during the recovery phase.

ECG Parameters for Malignant Ventricular Arrhythmias: A Comprehensive Review

Many studies showed electrocardiogram (ECG) parameters are useful for predicting fatal ventricular arrhythmias (VAs). However, the studies have several shortcomings. Firstly, all studies lack of effective way to present behavior of various ECG parameters prior to the occurrence of the VAs. Secondly, they also lack of discussion on how to consider the parameters as abnormal. Thirdly, the reports do not include approaches to increase the detection accuracy for the abnormal patterns. The purpose of this study is to address the aforementioned issues. It identifies ten ECG parameters from various sources and then presents a review based on the identified parameters. From the review, it has been found that the increased risk of VAs can be represented by presence and certain abnormal range of the parameters. The variation of parameters range could be influenced by either gender or age. This study also has discovered the facts that averaging, outliers elimination and morphology detection algorithms can contribute to the detection accuracy.