Nine degree of freedom motion estimation for wrist PPG heart rate measurements
| Autor: | Alexander J. Casson, Arturo Vazquez Galvez |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Computer science
0206 medical engineering 02 engineering and technology Accelerometer Signal law.invention Motion law Heart Rate Motion estimation Photoplethysmogram Heart rate 0202 electrical engineering electronic engineering information engineering Humans Computer vision Photoplethysmography Wearable technology Signal processing business.industry Work (physics) 020206 networking & telecommunications Gyroscope Signal Processing Computer-Assisted Wrist 020601 biomedical engineering Artificial intelligence business Artifacts Algorithms |
| Zdroj: | EMBC Vazquez Galvez, A & Casson, A 2019, Nine degree of freedom motion estimation for wrist PPG heart rate measurements . in 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) . IEEE Engineering in Medicine and Biology Society. Conference Proceedings . https://doi.org/10.1109/EMBC.2019.8857100 |
| ISSN: | 2694-0604 |
| DOI: | 10.1109/EMBC.2019.8857100 |
| Popis: | In recent years there has been substantial interest in wearable devices that measure heart rate via photoplethysmography (PPG) sensors placed at the wrist. This is challenging as the wrist PPG signal is severely corrupted by artefacts during motion, and although a number of algorithms are now available commercially and academically there is still a need for improved performance, especially when examining physical activities other than running. To date, algorithms for motion artefact removal from the PPG have focused on the use of a co-located accelerometer to record the motion. In this work, we introduce co-located accelerometer, gyroscope and magnetometer sensors to allow three, six and nine degrees of freedom estimates of the motion present. Assessed during a bike riding task the results show that the heart rate estimation is improved by up 0.57 beats per minute by using the additional information from these new sensors. |
| Databáze: | OpenAIRE |
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