scholarly journals Vital Block and Vital Sign Server for ECG and Vital Sign Monitoring in a Portable u-Vital System

Sensors ◽  
2020 ◽  
Vol 20 (4) ◽  
pp. 1089
Author(s):  
Tae Wuk Bae ◽  
Kee Koo Kwon ◽  
Kyu Hyung Kim
Keyword(s):  
Real Time ◽  
Vital Sign ◽  
Vital Signs ◽  
Detection Algorithm ◽  
Smart Device ◽  
Blood Oxygen Saturation ◽  
Real Time Processing ◽  
Non Invasive ◽  
Wireless Protocols ◽  
Point Detection

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.

Design of Swimming Pool Temperature Dot Matrix Screen Display

2014 ◽  
Vol 556-562 ◽  
pp. 2208-2211
Author(s):  
Xue Feng Yang
Keyword(s):  
Water Temperature ◽  
Real Time ◽  
Room Temperature ◽  
Detection Method ◽  
Swimming Pool ◽  
Real Time Monitoring ◽  
Real Time Processing ◽  
The Core ◽  
Swimming Pool Water ◽  
Point Detection

According to the need of the real-time monitoring and displaying of the environment in many areas,to put forward a method of temperature monitoring and displaying, using STC11F32XE microcontroller as the core controller, DS18B20 as temperature acquisition chip, 32X64LED dot matrix screen as a display screen,using the mothod of multi point detection method,real-time monitoring of swimming pool water temperature and room temperature, real-time displaying of Multipoint collecting information, Real time processing the detected temperature, the page display to multipoint temperature display through the wireless remote control module,the system will alarm When the water temperature is too high or too low, to remind managers of real-time processing.To design a clear temperature display for the swimming pool,real time monitoring and controlling is very convenient,after the experimental verification, the system reaches the anticipative goal,the system is an ideal and effective.

scholarly journals Multi-Parameter Vital Sign Telemedicine System Using Web Socket for COVID-19 Pandemics

Healthcare ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 285
Author(s):  
Chuchart Pintavirooj ◽  
Tanapon Keatsamarn ◽  
Treesukon Treebupachatsakul
Keyword(s):  
Real Time ◽  
Vital Sign ◽  
Vital Signs ◽  
Mobile Network ◽  
Cloud Platform ◽  
Telemedicine System ◽  
Web Based ◽  
The Real ◽  
Real Time Application ◽  
Commercial Platform

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.

scholarly journals Non-Invasive PPG-Based System for Continuous Heart Rate Monitoring of Incubated Avian Embryo

Sensors ◽  
2020 ◽  
Vol 20 (16) ◽  
pp. 4560
Author(s):  
Ali Youssef ◽  
Daniel Berckmans ◽  
Tomas Norton
Keyword(s):  
Heart Rate ◽  
Real Time ◽  
Experimental Studies ◽  
Detection Algorithm ◽  
Embryonic Heart ◽  
Avian Embryo ◽  
Cardiovascular Research ◽  
Natural Activity ◽  
Non Invasive ◽  
Promising Solution

The chicken embryo is a widely used experimental animal model in many studies, including in the field of developmental biology, of the physiological responses and adaptation to altered environments, and for cancer and neurobiology research. The embryonic heart rate is an important physiological variable used as an index reflecting the embryo’s natural activity and is considered one of the most difficult parameters to measure. An acceptable measurement technique of embryonic heart rate should provide a reliable cardiac signal quality while maintaining adequate gas exchange through the eggshell during the incubation and embryonic developmental period. In this paper, we present a detailed design and methodology for a non-invasive photoplethysmography (PPG)-based prototype (Egg-PPG) for real-time and continuous monitoring of embryonic heart rate during incubation. An automatic embryonic cardiac wave detection algorithm, based on normalised spectral entropy, is described. The developed algorithm successfully estimated the embryonic heart rate with 98.7% accuracy. We believe that the system presented in this paper is a promising solution for non-invasive, real-time monitoring of the embryonic cardiac signal. The proposed system can be used in both experimental studies (e.g., developmental embryology and cardiovascular research) and in industrial incubation applications.

A Robust Real-Time Object Detection and Recognition Algorithm for Multiple Objects

2019 ◽  
Vol 12 ◽  
Author(s):  
Garv Modwel ◽  
Anu Mehra ◽  
Nitin Rakesh ◽  
K K Mishra
Keyword(s):  
Object Detection ◽  
Real Time ◽  
Hybrid Method ◽  
Hybrid Algorithm ◽  
Time Lag ◽  
Detection Algorithm ◽  
Recognition Algorithm ◽  
Real Time System ◽  
Real Time Processing ◽  
Detection And Recognition

Background: Object detection algorithm scans every frame in the video to detect the objects present which is time consuming. This process becomes undesirable while dealing with real time system, which needs to act with in a predefined time constraint. To have quick response we need reliable detection and recognition for objects. Methods: To deal with the above problem a hybrid method is being implemented. This hybrid method combines three important algorithms to reduce scanning task for every frame. Recursive Density Estimation (RDE) algorithm decides which frame need to be scanned. You Look at Once (YOLO) algorithm does the detection and recognition in the selected frame. Detected objects are being tracked through Speed-up Robust Feature (SURF) algorithm to track the objects in subsequent frames. Results: Through the experimental study, we demonstrate that hybrid algorithm is more efficient compared to two different algorithm of same level. The algorithm is having high accuracy and low time latency (which is necessary for real time processing). Conclusion: The hybrid algorithm is able to detect with a minimum accuracy of 97 percent for all the conducted experiments and time lag experienced is also negligible, which makes it considerably efficient for real time application.

scholarly journals New Parallel Technics for GPU, Fast SURF Algorithm

2020 ◽  
Vol 9 (8) ◽  
pp. 389-393
Keyword(s):  
Real Time ◽  
Graphics Processing Unit ◽  
Computation Time ◽  
Processing Unit ◽  
Real Time Processing ◽  
Time Usage ◽  
Computation Algorithm ◽  
Original Application ◽  
Graphics Processing ◽  
Point Detection

Computer vision algorithms, especially real-time tasks, require intensive computation and reduced time. That’s why many algorithms are developed for interest point detection and description. For instance, SURF (Speeded Up Robust Feature) is extensively adopted in tracking or detecting forms and objects. SURF algorithm remains complex and massive in term of computation. So, it’s a challenge for real time usage on CPU. In this paper we propose a fast SURF parallel computation algorithm designed for Graphics-Processing-Unit (GPU). We describe different states of the algorithm in detail, using several optimizations. Our method can improve significantly the original application by reducing the computation time. Thus, it presents a good performance for real-time processing

scholarly journals Preclinical evaluation of noncontact vital signs monitoring using real-time IR-UWB radar and factors affecting its accuracy

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jun-Young Park ◽  
Yonggu Lee ◽  
Ran Heo ◽  
Hyun-Kyung Park ◽  
Seok-Hyun Cho ◽  
...  
Keyword(s):  
Real Time ◽  
Vital Sign ◽  
Vital Signs ◽  
Embedded Processors ◽  
Sitting Position ◽  
Mixed Effect ◽  
Factors Affecting ◽  
Vital Signs Monitoring ◽  
Uwb Radar ◽  
The Absolute

AbstractRecently, noncontact vital sign monitors have attracted attention because of issues related to the transmission of contagious diseases. We developed a real-time vital sign monitor using impulse-radio ultrawideband (IR-UWB) radar with embedded processors and software; we then evaluated its accuracy in measuring heart rate (HR) and respiratory rate (RR) and investigated the factors affecting the accuracy of the radar-based measurements. In 50 patients visiting a cardiology clinic, HR and RR were measured using IR-UWB radar simultaneously with electrocardiography and capnometry. All patients underwent HR and RR measurements in 2 postures—supine and sitting—for 2 min each. There was a high agreement between the RR measured using radar and capnometry (concordance correlation coefficient [CCC] 0.925 [0.919–0.926]; upper and lower limits of agreement [LOA], − 2.21 and 3.90 breaths/min). The HR measured using radar was also in close agreement with the value measured using electrocardiography (CCC 0.749 [0.738–0.760]; upper and lower LOA, − 12.78 and 15.04 beats/min). Linear mixed effect models showed that the sitting position and an HR < 70 bpm were associated with an increase in the absolute biases of the HR, whereas the sitting position and an RR < 18 breaths/min were associated with an increase in the absolute biases of the RR. The IR-UWB radar sensor with embedded processors and software can measure the RR and HR in real time with high precision. The sitting position and a low RR or HR were associated with the accuracy of RR and HR measurement, respectively, using IR-UWB radar.

Importance of Automation and Next-Generation IoT in Smart Healthcare

2020 ◽  
pp. 80-88
Author(s):  
Ahmed Alenezi ◽  
M. S. Irfan Ahamed
Keyword(s):  
Real Time ◽  
Vital Signs ◽  
Quality Of Healthcare ◽  
Physiological Status ◽  
Remote Monitoring System ◽  
Non Invasive ◽  
Smart Healthcare ◽  
Working Principle ◽  
The Cost

Generally, the sensors employed in healthcare are used for real-time monitoring of patients, such devices are termed IoT-driven sensors. These type of sensors are deployed for serious patients because of the non-invasive monitoring, for instance physiological status of patients will be monitored by the IoT-driven sensors, which gathers physiological information regarding the patient through gateways and later analysed by the doctors and then stored in cloud, which enhances quality of healthcare and lessens the cost burden of the patient. The working principle of IoT in remote health monitoring systems is that it tracks the vital signs of the patient in real-time, and if the vital signs are abnormal, then it acts based on the problem in patient and notifies the doctor for further analysis. The IoT-driven sensor is attached to the patient and transmits the data regarding the vital signs from the patient's location by employing a telecom network with a transmitter to a hospital that has a remote monitoring system that reads the incoming data about the patient's vital signs.

scholarly journals Computing a Smart Device to Classify Recurring Outbreak of Copd

2020 ◽  
Vol 2 (1) ◽  
pp. 33
Keyword(s):  
Rural Areas ◽  
Detection Method ◽  
Vital Signs ◽  
Smart Device ◽  
Early Age ◽  
Respiratory Problems ◽  
Non Invasive ◽  
Wireless Medium ◽  
Bronchial Diseases ◽  
Prevention And Cure

Health care has experienced an unprecedented rise in the last decade. In order to keep their vital signs measured, patients will have to make regular visits to the doctor. The Cough detection device helps in the diagnosis and treatment of respiratory problems at an early age. Cough aims to remove mucus and bronchial diseases, which plays an important role in prevention and cure. More than 3 million individuals died of COPD in 2012, which is equivalent to 6 percent of all fatalities worldwide a year, according to world estimates. Citizens consider it impossible to track cough-related illnesses in rural areas because of the sophistication of the system and its testing costs. Nowadays, some people do have a mix of COPD and asthma. There is an immense demand for non-invasive ways of calculating these vital signs. This paper aims to develop and deploy a safe, inexpensive, low powered, non-intrusive, and effective device that can be worn daily and track the vital signs and show the performance to the mobile phone. The physician can also conveniently access such data through a wireless medium. This paper deals primarily with the acquisition of vital signs for signal conditioning and data: ECG, heart rate, blood pressure, body temperature, Sp02, cough rate, and respiration rate. This work proposes an innovative wearable cough detection method for early diagnosis and very early treatment of pulmonary diseases.

scholarly journals Design and Implementation of Real-Time Health Vital Sign Monitoring Device with Wireless Sensor-based on Arduino Mega

2021 ◽  
Vol 6 (1) ◽  
pp. 61-70
Author(s):  
Bekti Wulandari ◽  
Mentari Putri Jati
Keyword(s):  
Real Time ◽  
Vital Sign ◽  
Vital Signs ◽  
Medical Personnel ◽  
Physical Contact ◽  
Wireless Sensor ◽  
Monitoring Device ◽  
Vital Signs Monitoring ◽  
Measurement Results ◽  
Main Components

This paper discusses the realization of vital sign monitoring devices and knowing their performance. This device is expected to assist medical personnel in measuring and monitoring vital signs without having to have physical contact with patients. The design phase of the patient's vital sign monitoring device with an Arduino Mega-based wireless sensor starts from the identification, needs analysis, design, manufacture, troubleshoot, and testing. Arduino Mega and ESP8266 as the main components that function for the controller and upload data to the server. Then MAX30100, DS18B20, and MPX5700AP sensors which function to detect the vital sign. Android smartphones are used to display measurement results in real-time, save and display vital sign data records. Based on the test results, the patient's vital signs monitoring device has an average difference of 0.67% for temperature checks, 1.19% for pulse checks, 0.77% for SPO2 examinations, 4.78%, and 8.91% for systolic and diastolic blood pressure examinations.

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