Jarchi, Delaram and Casson, Alexander J (2016) Estimation of heart rate from foot worn photoplethysmography sensors during fast bike exercise. In: 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016-08-16 - 2016-08-20, Orlando, FL, USA.
Jarchi, Delaram and Casson, Alexander J (2016) Estimation of heart rate from foot worn photoplethysmography sensors during fast bike exercise. In: 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016-08-16 - 2016-08-20, Orlando, FL, USA.
Jarchi, Delaram and Casson, Alexander J (2016) Estimation of heart rate from foot worn photoplethysmography sensors during fast bike exercise. In: 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016-08-16 - 2016-08-20, Orlando, FL, USA.
Abstract
This paper presents a new method for estimating the average heart rate from a foot/ankle worn photoplethysmography (PPG) sensor during fast bike activity. Placing the PPG sensor on the lower half of the body allows more energy to be collected from energy harvesting in order to give a power autonomous sensor node, but comes at the cost of introducing significant motion interference into the PPG trace. We present a normalised least mean square adaptive filter and short-time Fourier transform based algorithm for estimating heart rate in the presence of this motion contamination. Results from 8 subjects show the new algorithm has an average error of 9 beats-per-minute when compared to an ECG gold standard.
Item Type: | Conference or Workshop Item (Paper) |
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Additional Information: | Published proceedings: 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) |
Uncontrolled Keywords: | Foot; Humans; Photoplethysmography; Monitoring, Physiologic; Heart Rate; Algorithms; Bicycling; Signal Processing, Computer-Assisted; Adult; Young Adult |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science R Medicine > R Medicine (General) |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 11 Jun 2019 10:55 |
Last Modified: | 30 Oct 2024 16:31 |
URI: | http://repository.essex.ac.uk/id/eprint/24790 |
Available files
Filename: EMBC_final_version.pdf