scholarly journals Real-Time ECG Monitoring for Patients With Implantable Pacemaker – A Review of Current Status

2018 ◽  
Author(s):  
John Wang
Keyword(s):  
Real Time ◽  
Current Status ◽  
Ecg Monitoring ◽  
Implantable Pacemaker

Contrast-enhanced ultrasound of the abdominal aorta – current status and future perspectives

VASA ◽  
2019 ◽  
Vol 48 (2) ◽  
pp. 115-125 ◽  
Author(s):  
Xin Li ◽  
Daniel Staub ◽  
Vasileios Rafailidis ◽  
Mohammed Al-Natour ◽  
Sanjeeva Kalva ◽  
...  
Keyword(s):  
Real Time ◽  
Vascular Diseases ◽  
Aneurysm Rupture ◽  
Vasa Vasorum ◽  
Current Status ◽  
Contrast Enhanced Ultrasound ◽  
Aortic Diseases ◽  
Cross Sectional ◽  
Vascular Abnormalities ◽  
Contrast Enhanced

Abstract. Ultrasound has been established as an important diagnostic tool in assessing vascular abnormalities. Standard B-mode and Doppler techniques have inherent limitations with regards to detection of slow flow and small vasculature. Contrast-enhanced ultrasound (CEUS) is a complementary tool and is useful in assessing both the macro- and microvascular anatomy of the aorta. CEUS can also provide valuable physiological information in real-time scanning sessions due to the physical and safety profiles of the administered microbubbles. From a macrovascular perspective, CEUS has been used to characterize aortic aneurysm rupture, dissection and endoleaks post-EVAR repair. With regard to microvasculature CEUS enables imaging of adventitial vasa vasorum thereby assessing aortic inflammation processes, such as monitoring treatment response in chronic periaortitis. CEUS may have additional clinical utility since adventitial vasa vasorum has important implications in the pathogenesis of aortic diseases. In recent years, there have been an increasing number of studies comparing CEUS to cross-sectional imaging for aortic applications. For endoleak surveillance CEUS has been shown to be equal or in certain cases superior in comparison to CT angiography. The recent advancement of CEUS software along with the ongoing development of drug-eluting contrast microbubbles has allowed improved targeted detection and real-time ultrasound guided therapy for aortic vasa vasorum inflammation and neovascularization in animal models. Therefore, CEUS is uniquely suited to comprehensively assess and potentially treat aortic vascular diseases in the future.

Design of Portable Electrocardiograph Monitoring System

2020 ◽  
Author(s):  
Jia Hua-Ping ◽  
Zhao Jun-Long ◽  
Liu Jun
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Data Storage ◽  
P Wave ◽  
Ecg Monitoring ◽  
The Public ◽  
Ecg Signals ◽  
Early Warning Mechanism ◽  
Timely Treatment ◽  
Ecg Data

Cardiovascular disease is one of the major diseases that threaten the human health. But the existing electrocardiograph (ECG) monitoring system has many limitations in practical application. In order to monitor ECG in real time, a portable ECG monitoring system based on the Android platform is developed to meet the needs of the public. The system uses BMD101 ECG chip to collect and process ECG signals in the Android system, where data storage and waveform display of ECG data can be realized. The Bluetooth HC-07 module is used for ECG data transmission. The abnormal ECG can be judged by P wave, QRS bandwidth, and RR interval. If abnormal ECG is found, an early warning mechanism will be activated to locate the user’s location in real time and send preset short messages, so that the user can get timely treatment, avoiding dangerous occurrence. The monitoring system is convenient and portable, which brings great convenie to the life of ordinary cardiovascular users.

scholarly journals First month of the epidemic caused by COVID-19 in Italy: current status and real-time outbreak development forecast

2020 ◽  
Author(s):  
Rosario Megna
Keyword(s):  
Real Time ◽  
Forecast Model ◽  
Current Status ◽  
Logistic Distribution ◽  
Infected People ◽  
The North ◽  
Heavy Burden ◽  
Novel Coronavirus ◽  
Health Organization ◽  
Collaborative Efforts

Abstract Background : The first outbreaks of COVID-19 in Italy occurred during the second half of February 2020 in some areas in the North of the country. Due to the high contagiousness of the infection, further spread by asymptomatic people, Italy has become in a few weeks the country with the greatest number of infected people in the World. The large number of severe cases among infected people in Italy led to the hospitalization of thousands of patients, with a heavy burden on the National Health Service. Methods: We analyzed data provided daily by Italian Authorities for the period from 24 February 2020 to 30 March 2020. Considering such information, we developed a forecast model in real-time, based on the cumulative logistic distribution. We then produced an estimate of the overall number of potentially infected individuals and epidemic duration at a national and Regional level, for the most affected Regions. Results: A total of 101,739 infected individuals was confirmed until 30 March 2020, of which 75,528 active cases, 14,620 recovered or discharged, and 11,591 deaths. Until the same date patients quarantined at home were 43,752, whereas hospitalized patients were 31,776, of which 3,981 in intensive care. The forecast model estimated a number of infected persons for Italy of 130,000 about, and a duration of the epidemic greater than 2 months. Conclusions : Once month after the first outbreaks there seems to be the first signs of a decrease in the number of infections, showing that we could be now facing the descending phase of the epidemic. The forecast obtained thanks to our model could be used by decision-makers to implement coordinative and collaborative efforts in order to control the epidemic. The pandemic due to novel Coronavirus must be a warning for all countries worldwide, regarding a rapid and complete dissemination of information, surveillance, health organization, and cooperation among the states.

scholarly journals TRITIUM - A Quasi Real-Time Low Activity Tritium Monitor for Water

2020 ◽  
Vol 225 ◽  
pp. 03008
Author(s):  
C.D.R. Azevedo ◽  
A. Baeza ◽  
M. Brás ◽  
T. Cámara ◽  
C. Cerna ◽  
...  
Keyword(s):  
Real Time ◽  
Particle Physics ◽  
Nuclear Power ◽  
Power Plants ◽  
Maximum Level ◽  
Current Status ◽  
Human Consumption ◽  
Silicon Photomultiplier ◽  
Silicon Photomultipliers ◽  
Council Directive

Tritium is released abundantly to the environment by nuclear power plants (NPP), as a product of neutron capture by hydrogen and deuterium. In normal running conditions, released cooling waters may contain levels of tritium close to or even larger than the maximum authorised limit for human consumption (drinking and irrigation). The European Council Directive 2013/51/Euratom requires a maximum level of tritium in water for human consumption lower than 100 Bq=L. Current monitoring of tritium activity in water by liquid scintillating method takes about two days and can only be carried out in a dedicated laboratory. This system is not appropriate for real time monitoring. At present, there exists no available detector device with enough sensitivity to monitor waters for human consumption with high enough sensitivity. The goal of the TRITIUM project is to build a tritium monitor capable to measure tritium activities with detection limit close to 100Bq=L, using instrumentation technique developed in recent years for Nuclear and Particle Physics, such as scintillating fibres and silicon photomultipliers (SiPM). In this paper the current status of the TRITIUM project is presented and he results of first prototypes are discussed. A detector system based on scintillating fibers read out either photomultiplier tubes (PMTs) or silicon photomultiplier (SiPM) arrays is under development and will be installed in the vicinity of Almaraz nuclear power plant (Cáceres, Spain) by the fourth term of 2019.

scholarly journals First month of the epidemic caused by COVID-19 in Italy: current status and real-time outbreak development forecast

2020 ◽  
Vol 5 (1) ◽  
Author(s):  
Rosario Megna
Keyword(s):  
Real Time ◽  
Forecast Model ◽  
Current Status ◽  
Logistic Distribution ◽  
Infected People ◽  
The North ◽  
Number Of Patients ◽  
Heavy Burden ◽  
Novel Coronavirus ◽  
Health Organization

Abstract Background The first outbreak of COVID-19 in Italy occurred during the second half of February 2020 in some areas in the North of the country. Due to the high contagiousness of the infection, further spread by asymptomatic people, Italy has become in a few weeks the country with the greatest number of infected people in the world. The large number of severe cases among infected people in Italy led to the hospitalization of thousands of patients, with a heavy burden on the National Health Service. Methods We analyzed data provided daily by Italian Authorities for the period from 24 February 2020 to 30 March 2020. Considering such information, we developed a forecast model in real-time, based on the cumulative log-logistic distribution. Results A total of 101,739 infected individuals were confirmed until 30 March 2020, of which 14,620 recovered or discharged, and 11,591 deaths. Until the same date patients quarantined at home were 43,752, whereas hospitalized patients were 31,776, of which 3981 in intensive care. The active cases (i.e. the number of patients not yet recovered until that date) were 75,528. The forecast model estimated a number of infected persons for Italy of 234,000 about, and a duration of the epidemic of approximately 4 months. Conclusions One month after the first outbreaks there seemed to be the first signs of a decrease in the number of infections, showing that we could be now facing the descending phase of the epidemic. The forecast obtained thanks to our model could be used by decision-makers to implement coordinative and collaborative efforts in order to control the epidemic. The pandemic due to novel Coronavirus must be a warning for all countries worldwide, regarding a rapid and complete dissemination of information, surveillance, health organization, and cooperation among the states.

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