Using photoplethysmography in heart rate monitoring of patients with epilepsy
Open accessAbstract
Heart rate is a useful neurophysiological sign when monitoring seizures in patients with epilepsy. In an ambulatory setting, heart rate is measured with ECG involving electrodes on the skin. This method is uncomfortable which is burdensome for patients and is sensitive to motion artifacts, which decrease the usability of measurements. In this study, green light photoplethysmography, an optical technique arising from the fitness industry, was evaluated for usefulness in a medical setting. Simultaneous overnight measurements of HR with a commercially available optical heart rate (OHR) sensor and with ECG (HRECG) were performed in 7 patients with epilepsy. Overall, there was no significant difference between OHR and HRECG in random 10-minute periods during wakefulness (p=0.69) and sleep (p=1.00). The Bland-Altman analysis showed negligible mean differences. Limits of agreement were higher during wakefulness and during the occurrence of two seizures possibly because of less reliable HRECG measurements due to motion artifacts. Optical heart rate seems less sensitive to these motion artifacts, and measurements are more user-friendly. The optical heart rate sensor may fill the gap of systems for ambulatory heart rate monitoring and can be especially useful in the context of seizure detection in patients with epilepsy.
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The Empatica E4 has been shown to facilitate seizure detection by heart rate estimation from PPG despite its susceptibility to motion artifacts.
“Moreover, the E4 has been shown to facilitate seizure detection by heart rate estimation from PPG despite its susceptibility to motion artifacts8,72.”
From Data quality evaluation in wearable monitoring (2022) · cites this paper as [72]
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Self-citation
- Authors
- van Andel, J., Ungureanu, C., Aarts, R., Leijten, F., & Arends, J.
- Affiliations
- Kempenhaeghe (NL)
- Philips (Netherlands) (NL)
- University Medical Center Utrecht (NL)
- Venue
- Epilepsy & Behavior
- Publisher
- Elsevier BV
- Published
- 2015-04
- Volume
- 45
- Pages
- 142-145
- ISSN
- 1525-5050 (ISSN-L)
- OpenAlex
- W2168739331
- Cited by
- 39
- References
- 11
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 1 · 2023: 2 · 2022: 3 · 2021: 7 · 2020: 4 · 2019: 3 · 2018: 4 · 2017: 7 · 2016: 5
- FWCI
- 2.64
- Type
- journal article
- Language
- en
- Open access
- green
- dspace.library.uu.nl
- Licence
- Locations
- Epilepsy & Behavior (publishedVersion)
- PubMed (publishedVersion)
- TU/e Research Portal (submittedVersion)
- Utrecht University Repository (Utrecht University) (submittedVersion, other-oa)
- Utrecht University Repository (Utrecht University) (submittedVersion)
- Funders
- ZonMW (300040003)
- Nuts/OHRA (1203-50)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › ECG Monitoring and Analysis
- Keywords
- photoplethysmography, epilepsy, seizure detection, motion artifacts, electrocardiography comparison, sleep, seizure monitoring
- MeSH terms
- Adult, Epilepsy, Female, Heart Rate, Humans, Male, Middle Aged, Wakefulness, Photoplethysmography, Young Adult
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