Title (eng): Developement of a mobile service for dispatch life support
Grassinger, F. (Florian)
St. Pölten, Studiengang Digital Healthcare, Masterarbeit, 2016
Essential problem in this regard is, that the current dispatch life support (DLS) by laypersons often lacks the appropriate treatment and technique in a guided cardiopulmonary resuscitation (CPR). For example, most laypersons who reanimate for the first time in their life, either do it too fast or too slow or generally not in the right rhythm. They are normally guided by the dispatcher or call taker on the phone, but he has only limited resources in order to review the reanimation process of the layperson. Until now the only way to review the ongoing reanimation was verbal feedback from the layperson who is guided by the dispatcher (using a metronome for counting). It is difficult for both sides to count only on the verbal feedback, when saving a life is involved.
This leads to a general wish for improvement and great potential. A possible solution is to use current smartphone technologies in order to get variables or parameters of the current reanimation. The most influential parameter is the chest compression rate (CCR), which is often inappropriate and out of rhythm. Also the chest compression depth (CCD) is very important for a reanimation. During this thesis the CCR and CCD acquisition with mobile technologies is further investigated along the following major question:
Can low-cost and mobile acceleration sensors in mobile devices (e.g. smartphones) provide high-quality, robust and sensitive data for real-time CPR signal processing and data transmission?
Mobile technologies are used nowadays that often, that nearly everyone carries some sort of smartphone with them. Particularly in this thesis a device (smartphone) is used in order to collect data and transfer it to a server, where it gets visualized and evaluated. The server is not the main part of this thesis, though it is a part of the overall project, wherefore it will be described briefly. Especially for the visualization of the collected information and feedback the server and the associated website are important.
Another important part of this thesis is the data transmission and the stability of the application, as the application should run at least ten minutes (the time the ambulance statistically needs to arrive at the crash scene) . There are numerous challenges, which will be listed below and described shortly:
Despite the availability of various high-quality, high-cost specialized devices for chest compression depth and frequency determination, low-cost solutions based on widespread mobile devices are not considered yet.
The stability of the transmission is directly connected to an available internet connection.
It is difficult to compute the actual compression depth out of simple accelerometer data as well as transmit only the relevant information.
The quality, sensitivity, sample frequency and resolution of built-in accelerators vary a lot in modern mobile devices.
The aim of this work is to evaluate various algorithms for chest compression rate and chest compression depth detection as well as prototype and test them in a smartphone service/application. Another aim is to optimize the running application and guarantee a flawless transmission to the server (the main distribution place for data points and communication between clients). Therefore, a lightweight transmission system was needed, which operates fast and allows easy data transmission.
Object languages: English
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