Wireless Vital Sign Sensor Network Simulations for Mass Casualty Response

2013 ◽  
Author(s):  
Adam Renner
Keyword(s):  
Sensor Network ◽  
Vital Sign ◽  
Mass Casualty ◽  
Network Simulations

Prototyping Sensor Network System for Automatic Vital Signs Collection

2013 ◽  
Vol 52 (03) ◽  
pp. 239-249 ◽  
Author(s):  
H. Noma ◽  
C. Naito ◽  
M. Tada ◽  
H. Yamanaka ◽  
T. Takemura ◽  
...  
Keyword(s):  
Sensor Network ◽  
Vital Sign ◽  
Paired Comparison ◽  
Estimation Error ◽  
Vital Signs ◽  
Position Estimation ◽  
University Hospital ◽  
Network System ◽  
Sensing System ◽  
Proximity Sensing

SummaryObjective: Development of a clinical sensor network system that automatically collects vital sign and its supplemental data, and evaluation the effect of automatic vital sensor value assignment to patients based on locations of sensors.Methods: The sensor network estimates the data-source, a target patient, from the position of a vital sign sensor obtained from a newly developed proximity sensing system. The proximity sensing system estimates the positions of the devices using a Bluetooth inquiry process. Using Bluetooth access points and the positioning system newly developed in this project, the sensor network collects vital sign and its 4W (who, where, what, and when) supplemental data from any Blue-tooth ready vital sign sensors such as Continua-ready devices. The prototype was evaluated in a pseudo clinical setting at Kyoto University Hospital using a cyclic paired comparison and statistical analysis.Results: The result of the cyclic paired analysis shows the subjects evaluated the proposed system is more effective and safer than POCS as well as paper-based operation. It halves the times for vital signs input and eliminates input errors. On the other hand, the prototype failed in its position estimation for 12.6% of all attempts, and the nurses overlooked half of the errors. A detailed investigation clears that an advanced interface to show the system’s “confidence”, i.e. the probability of estimation error, must be effective to reduce the oversights.Conclusions: This paper proposed a clinical sensor network system that relieves nurses from vital signs input tasks. The result clearly shows that the proposed system increases the efficiency and safety of the nursing process both subjectively and objectively. It is a step toward new generation of point of nursing care systems where sensors take over the tasks of data input from the nurses.

scholarly journals Real-Time Monitoring Electronic Triage Tag System for Improving Survival Rate in Disaster-Induced Mass Casualty Incidents

Healthcare ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 877
Author(s):  
Ju Young Park
Keyword(s):  
Survival Rate ◽  
Vital Sign ◽  
Disaster Response ◽  
Electricity Consumption ◽  
Mass Casualty ◽  
Ease Of Use ◽  
Mass Casualty Incidents ◽  
Design Development ◽  
Prehospital Triage ◽  
Rapid Prototyping Model

This study was conducted to contribute to active disaster response by developing internet of things (IoT)-based vital sign monitoring e-triage tag system to improve the survival rate at disaster mass casualty incidents fields. The model used in this study for developing the e-triage tag system is the rapid prototyping model (RAD). The process comprised six steps: analysis, design, development, evaluation, implementation, and simulation. As a result of detailed assessment of the system design and development by an expert group, areas with the highest score in the triage sensor evaluation were rated “very good”, with 5 points for continuous vital sign data delivery, portability, and robustness. In addition, ease of use, wearability, and electricity consumption were rated 4.8, 4.7, and 4.6 points, respectively. In the triage application evaluation, the speed and utility scored a perfect 5 points, and the reliability and expressiveness were rated 4.9 points and 4.8 points, respectively. This study will contribute significantly to increasing the survival rate via the development of a conceptual prehospital triage for field applications and e-triage tag system implementation.

A MOBILE-CARE SYSTEM OVER WIRELESS SENSOR NETWORK FOR HOME HEALTHCARE APPLICATIONS

2007 ◽  
Vol 19 (02) ◽  
pp. 85-90 ◽  
Author(s):  
Ren-Guey Lee ◽  
Chien-Chih Lai ◽  
Shao-Shan Chiang ◽  
Hsin-Sheng Liu ◽  
Chun-Chang Chen ◽  
...  
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Vital Sign ◽  
Vital Signs ◽  
Home Healthcare ◽  
Wireless Sensor ◽  
Chronic Patients ◽  
Healthcare Applications ◽  
Residential Gateway ◽  
Care System

In response to the home healthcare requirement of chronic patients, this paper proposes a mobile-care system integrated with a variety of vital-sign monitorings, where all the front-end vital-sign measuring devices are portable and have the ability of short-range wireless communication. In order to make the system suitable for home applications, wireless sensor network is introduced to transmit the captured vital signs to the residential gateway by means of multi-hop relay. Then the residential gateway uploads data to the care server via internet to carry out patient's condition monitoring and the management of pathological data. Furthermore, the system is equipped with the alarm mechanism, where the portable care device is able to immediately perceive the critical condition of the patient and send a warning message to medical and nursing personnels to achieve the goal of prompt rescue.

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