Research Repository

Estimation of heart rate from foot worn photoplethysmography sensors during fast bike exercise

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.

[img]
Preview
Text
EMBC_final_version.pdf - Accepted Version

Download (2MB) | Preview

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)
Additional Information: Published proceedings: 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
R Medicine > R Medicine (General)
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Elements
Date Deposited: 11 Jun 2019 10:55
Last Modified: 11 Jun 2019 10:55
URI: http://repository.essex.ac.uk/id/eprint/24790

Actions (login required)

View Item View Item