5 research outputs found

    Effect of wearing whole body compression garments on cardiovascular function using ECG signals

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    The purpose of this study was to examine the effects of wearing whole body compression garments (WBCGs) on cardiovascular function of running trainers. Eight non-athletes (age: 25.1±3.8 years, height: 165.9±8.3 cm; weight: 61.4±13.7 kg) performed an incremental test followed by 30 minutes running on a treadmill, from 6 km.h-1 to 11 km.h-1 with correct size-compression garments (CCGs), undersize-compression garments (UCGs) and non-compression garments (NCGs). During the exercise, electrocardiogram (ECG) signals were collected between each completed speed by wearable sensors. There was a significant difference in heart rate (HR, p<0.05) between CCGs and NCGs from the velocity of 7km.h-1 onwards. Moreover, the group that wore UCGs has some significant effects on QT intervals and corrected QT at 10km.h-1 and 11km.h-1 (p<0.05). The utilization of WBCGs in a running test may influence the cardiovascular function of wearers. Based on the results of longer QTc, UCGs may cause an adverse effect on performance. Essentially, CCGs should be recommended for wearing during exercise due to the effects of lower HR

    The relationship between compression garments and electrocardiogram signals during exercise and recovery phase

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    © 2019 The Author(s). Background: The direction of the current research was to investigate whether electrocardiogram (ECG) signals have been impacted by using compression garments during exercise and recovery phase. Each subject is non-athletes, conducted two running tests, wearing either non-compression garments (NCGs) or compression garments (CGs) throughout experiments and 2-h of the recovery phase. Experiment 1 (number of participants (n) = 8; 61.4 ± 13.7 kg, 25.1 ± 3.8 years, 165.9 ± 8.3 cm) focused on the exercising phase while Experiment 2 (n = 14; 60.9 ± 12.0 kg, 24.7 ± 4.5 years, 166.0 ± 7.6 cm) concentrated on the recovery phase. Electrocardiogram (ECG) data were collected through wearable biosensors. Results: The results demonstrated a significant difference between compression garments and non-compression garments at the end of the tests and from 90 min onwards during the recovery phase (p < 0.05). Corrected QT (QTc), ST interval and heart rate (HR) indicated the significant difference between NCGs and CGs. Conclusion: Based on the findings, the utilization of compression garments showed a positive influence in non-athletes based on the quicker recovery in HR, ST, and QTc

    Global, regional, and national burden of congenital heart disease, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017

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    BACKGROUND: Previous congenital heart disease estimates came from few data sources, were geographically narrow, and did not evaluate congenital heart disease throughout the life course. Completed as part of the Global Burden of Diseases, Injuries, and Risk Factors Study 2017, this study aimed to provide comprehensive estimates of congenital heart disease mortality, prevalence, and disability by age for 195 countries and territories from 1990 to 2017. METHODS: Mortality estimates were generated for aggregate congenital heart disease and non-fatal estimates for five subcategories (single ventricle and single ventricle pathway congenital heart anomalies; severe congenital heart anomalies excluding single ventricle heart defects; critical malformations of great vessels, congenital valvular heart disease, and patent ductus arteriosus; ventricular septal defect and atrial septal defect; and other congenital heart anomalies), for 1990 through to 2017. All available global data were systematically analysed to generate congenital heart disease mortality estimates (using Cause of Death Ensemble modelling) and prevalence estimates (DisMod-MR 2·1). Systematic literature reviews of all types of congenital anomalies to capture information on prevalence, associated mortality, and long-term health outcomes on congenital heart disease informed subsequent disability estimates. FINDINGS: Congenital heart disease caused 261 247 deaths (95% uncertainty interval 216 567-308 159) globally in 2017, a 34·5% decline from 1990, with 180 624 deaths (146 825-214 178) being among infants (aged <1 years). Congenital heart disease mortality rates declined with increasing Socio-demographic Index (SDI); most deaths occurred in countries in the low and low-middle SDI quintiles. The prevalence rates of congenital heart disease at birth changed little temporally or by SDI, resulting in 11 998 283 (10 958 658-13 123 888) people living with congenital heart disease globally, an 18·7% increase from 1990 to 2017, and causing a total of 589 479 (287 200-973 359) years lived with disability. INTERPRETATION: Congenital heart disease is a large, rapidly emerging global problem in child health. Without the ability to substantially alter the prevalence of congenital heart disease, interventions and resources must be used to improve survival and quality of life. Our findings highlight the large global inequities in congenital heart disease and can serve as a starting point for policy changes to improve screening, treatment, and data collection. FUNDING: Bill & Melinda Gates Foundation

    Screen-printed electrodes for biosensing: a review (2008–2013)

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