Authors:
Daniel Wettach
1
;
Marc Jaeger
1
;
Armin Bolz
1
and
Timur Oezkan
2
Affiliations:
1
Institute of Biomedical Engineering, University of Karlsruhe, Germany
;
2
University Hospital Heidelberg, Germany
Keyword(s):
Physiological processes, First-aid sensor, real-time sensor system, wearable sensor and system, computational intelligence, emergency situation.
Related
Ontology
Subjects/Areas/Topics:
Applications and Services
;
Artificial Intelligence
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Computational Intelligence
;
Computer Vision, Visualization and Computer Graphics
;
Devices
;
Health Engineering and Technology Applications
;
Health Information Systems
;
Human-Computer Interaction
;
Informatics in Control, Automation and Robotics
;
Medical Image Detection, Acquisition, Analysis and Processing
;
Methodologies and Methods
;
Neural Networks
;
Neurocomputing
;
Neurotechnology, Electronics and Informatics
;
Pattern Recognition
;
Physiological Computing Systems
;
Real-Time Systems
;
Sensor Networks
;
Signal Processing
;
Signal Processing, Sensors, Systems Modeling and Control
;
Soft Computing
;
Theory and Methods
;
Time and Frequency Response
;
Time-Frequency Analysis
;
Wearable Sensors and Systems
Abstract:
In this paper the software algorithms necessary to analyze the signal provided by a first-aid sensor system that detects pulse and respiration at a single point are described. In an opinion poll four of five inexperienced first responders were interested in using this kind of system as support in emergency situations. Especially the intelligent detection of respiration is hardly popular today and in most cases only possible offline. The software also controls several visual indicators that assist the first aider in quickly determining the state of the patient.