Non-Contact and Real-Time Pulse-Based Radar with Sensitivity Improvement for Vital-Sign Monitoring

Author(s):  
Jian-Yu Huang ◽  
Chia-Chin Hsu ◽  
Chia-Hung Chang ◽  
Wei-Wen Hu
Healthcare ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 285
Author(s):  
Chuchart Pintavirooj ◽  
Tanapon Keatsamarn ◽  
Treesukon Treebupachatsakul

Telemedicine has become an increasingly important part of the modern healthcare infrastructure, especially in the present situation with the COVID-19 pandemics. Many cloud platforms have been used intensively for Telemedicine. The most popular ones include PubNub, Amazon Web Service, Google Cloud Platform and Microsoft Azure. One of the crucial challenges of telemedicine is the real-time application monitoring for the vital sign. The commercial platform is, by far, not suitable for real-time applications. The alternative is to design a web-based application exploiting Web Socket. This research paper concerns the real-time six-parameter vital-sign monitoring using a web-based application. The six vital-sign parameters are electrocardiogram, temperature, plethysmogram, percent saturation oxygen, blood pressure and heart rate. The six vital-sign parameters were encoded in a web server site and sent to a client site upon logging on. The encoded parameters were then decoded into six vital sign signals. Our proposed multi-parameter vital-sign telemedicine system using Web Socket has successfully remotely monitored the six-parameter vital signs on 4G mobile network with a latency of less than 5 milliseconds.


Author(s):  
Claire E Fishman ◽  
Danielle D Weinberg ◽  
Ashley Murray ◽  
Elizabeth E Foglia

ObjectiveTo assess the accuracy of real-time delivery room resuscitation documentation.DesignRetrospective observational study.SettingLevel 3 academic neonatal intensive care unit.ParticipantsFifty infants with video recording of neonatal resuscitation.Main outcome measuresVital sign assessments and interventions performed during resuscitation. The accuracy of written documentation was compared with video gold standard.ResultsTiming of initial heart rate assessment agreed with video in 44/50 (88%) records; the documented heart rate was correct in 34/44 (77%) of these. Heart rate and oxygen saturation were documented at 5 min of life in 90% of resuscitations. Of these, 100% of heart rate and 93% of oxygen saturation values were correctly recorded. Written records accurately reflected the mode(s) of respiratory support for 89%–100%, procedures for 91%–100% and medications for 100% of events.ConclusionReal-time documentation correctly reflects interventions performed during delivery room resuscitation but is less accurate for early vital sign assessments.


2020 ◽  
Vol 134 (1) ◽  
pp. 119-126 ◽  
Author(s):  
Karim Kouz ◽  
Thomas W. L. Scheeren ◽  
Daniel de Backer ◽  
Bernd Saugel

Pulse wave analysis enables cardiac output to be estimated continuously and in real time. Pulse wave analysis methods can be classified into invasive, minimally invasive, and noninvasive and into externally calibrated, internally calibrated, and uncalibrated methods.


2021 ◽  
Vol 12 (2) ◽  
pp. 133-138
Author(s):  
A. M. Vodovozov

The paper considers the operation of radioisotope measuring devices under dynamic conditions, when the Poisson pulse flux at the output of the radiation detector becomes unsteady and the nonlinearity of the calibration curve of the device, the stochasticity of the radiation signal and the inertia of the meter significantly complicate the task of estimating the measured physical parameter. of the device and analysis of the possibility of its application for linearization of the characteristics of the device, increasing the speed of the devices and solving the measuring problem in real time.The process of nonlinear transformation of the radiation signal in the system is analyzed on the basis of the assumption about the exponential distribution of the intervals between the pulses of the information flow at the output of the radiation detector. A generalized algorithm for the synthesis of a given transformation function of a time-pulse computing device of a radioisotope device has been developed according to its mathematical description. To describe the transformation function given by a set of points, it is proposed to use its approximation by a power series.The proposed calculation formulas are verified by modeling in the Scilab program on a specific example of linearization of the curve of a radioisotope altimeter with a given tabular calibration characteristic. The results obtained confirm the expediency of using time-pulse computing devices for linearizing the conversion curve of radioisotope devices in real time.Carrying out calculations according to the proposed algorithms by means of modern microelectronics opens up new possibilities for expanding the field of application of radioisotope devices in dynamic problems of industrial flaw detection, measuring the parameters of object movement, thickness of rolled products and coatings, in devices for continuous monitoring of liquid media.


Sensors ◽  
2020 ◽  
Vol 20 (4) ◽  
pp. 1089
Author(s):  
Tae Wuk Bae ◽  
Kee Koo Kwon ◽  
Kyu Hyung Kim

An important function in the future healthcare system involves measuring a patient’s vital signs, transmitting the measured vital signs to a smart device or a management server, analyzing it in real-time, and informing the patient or medical staff. Internet of Medical Things (IoMT) incorporates information technology (IT) into patient monitoring device (PMD) and is developing traditional measurement devices into healthcare information systems. In the study, a portable ubiquitous-Vital (u-Vital) system is developed and consists of a Vital Block (VB), a small PMD, and Vital Sign Server (VSS), which stores and manages measured vital signs. Specifically, VBs collect a patient’s electrocardiogram (ECG), blood oxygen saturation (SpO2), non-invasive blood pressure (NiBP), body temperature (BT) in real-time, and the collected vital signs are transmitted to a VSS via wireless protocols such as WiFi and Bluetooth. Additionally, an efficient R-point detection algorithm was also proposed for real-time processing and long-term ECG analysis. Experiments demonstrated the effectiveness of measurement, transmission, and analysis of vital signs in the proposed portable u-Vital system.


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