Title :
Towards pulse detection and rhythm analysis using a biomimetic fingertip
Author :
Emmett Kerr;T.M. McGinnity;Sonya Coleman;Andrea Shepherd
Author_Institution :
Intelligent Systems Research Centre, University of Ulster, Magee Campus, Northern Ireland
fDate :
7/1/2015 12:00:00 AM
Abstract :
Pulse rate and rhythm are indicators of the health of a human´s blood circulation. Being able to detect one´s pulse rate and rhythm in an emergency situation could be the difference between life and death. The work presented in this paper is preliminary work on algorithms that will equip a robot with the necessary skills to assess a human´s pulse. Algorithms for pulse detection and the calculation of beats per minute (bpm) and Pulse to Pulse Interval (PPI) are presented and used to classify if a heart rate is normal, bradycardic, or tachycardic. Furthermore PPI is used to determine if the pulse rate is regular or in a form of arrhythmia. The results in this paper show that pulse was successfully detected and a subjects bpm calculated using a trough detection method. Furthermore the system proved to be capable of classifying the pulse as being regular or arrhythmic.
Keywords :
"Heart rate","Noise","Arteries","Robot sensing systems"
Conference_Titel :
Neural Networks (IJCNN), 2015 International Joint Conference on
Electronic_ISBN :
2161-4407
DOI :
10.1109/IJCNN.2015.7280690