Authors:
Johan Vertens
;
Fabian Fischer
;
Christian Heyde
;
Fabian Hoeflinger
;
Rui Zhang
;
Leonhard Reindl
and
Albert Gollhofer
Affiliation:
Albert-Ludwigs-University, Germany
Keyword(s):
Respiration Rate, Heart Rate, Acceleration Sensor, Optimization, Bluetooth, Wearable Device.
Related
Ontology
Subjects/Areas/Topics:
Biosignals and Biodevices Engineering
;
Computer Systems in Sports
;
Health, Sports Performance and Support Technology
;
Signal Processing and Motor Behavior
;
Sport Science Research and Technology
;
Sport Statistics and Analyses
;
Training and Testing
Abstract:
We present a novel system which measures the respiration rate using two three-axis accelerometers strapped
to the chest and the back of a person. Respiration and heart rate are used as a measurement to determine
an athlete’s fitness level during the exercise phase. Common respiration rate measurement methods require
devices which are mostly stationary or at least clunky and uncomfortable to wear for an extended period of
time.
By using techniques such as differential measurement, pre-measurement optimization, adaptive filtering and
peak detection we are able to obtain respiration rate even when the athlete is running fast. Our system is
low-cost, small, and, by using a digital signal processor, fully capable of processing the data in an online way.
Results are compared with a reference spirometer and have shown a very low normalized root mean square
error (NRMSE) down to 1.42 %. Additionally, the heart rate of an athlete can be measured with the same
sensor setup and similar methods.