Identification of Ictal Tachycardia in Focal Motor- and Non-Motor Seizures by Means of a Wearable PPG Sensor
Photoplethysmography (PPG) as an additional biosignal for a seizure detector has been underutilized so far, which is possibly due to its susceptibility to motion artifacts. We investigated 62 focal seizures from 28 patients with electrocardiography-based evidence of ictal tachycardia (IT). Seizures...
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MDPI AG
2021-09-01
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author | Martin Glasstetter Sebastian Böttcher Nicolas Zabler Nino Epitashvili Matthias Dümpelmann Mark P. Richardson Andreas Schulze-Bonhage |
author_facet | Martin Glasstetter Sebastian Böttcher Nicolas Zabler Nino Epitashvili Matthias Dümpelmann Mark P. Richardson Andreas Schulze-Bonhage |
author_sort | Martin Glasstetter |
collection | DOAJ |
description | Photoplethysmography (PPG) as an additional biosignal for a seizure detector has been underutilized so far, which is possibly due to its susceptibility to motion artifacts. We investigated 62 focal seizures from 28 patients with electrocardiography-based evidence of ictal tachycardia (IT). Seizures were divided into subgroups: those without epileptic movements and those with epileptic movements not affecting and affecting the extremities. PPG-based heart rate (HR) derived from a wrist-worn device was calculated for sections with high signal quality, which were identified using spectral entropy. Overall, IT based on PPG was identified in 37 of 62 (60%) seizures (9/19, 7/8, and 21/35 in the three groups, respectively) and could be found prior to the onset of epileptic movements affecting the extremities in 14/21 seizures. In 30/37 seizures, PPG-based IT was in good temporal agreement (<10 s) with ECG-based IT, with an average delay of 5.0 s relative to EEG onset. In summary, we observed that the identification of IT by means of a wearable PPG sensor is possible not only for non-motor seizures but also in motor seizures, which is due to the early manifestation of IT in a relevant subset of focal seizures. However, both spontaneous and epileptic movements can impair PPG-based seizure detection. |
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spelling | doaj.art-feaff4128a4c46578d7d9474d0c7350f2023-11-22T15:10:19ZengMDPI AGSensors1424-82202021-09-012118601710.3390/s21186017Identification of Ictal Tachycardia in Focal Motor- and Non-Motor Seizures by Means of a Wearable PPG SensorMartin Glasstetter0Sebastian Böttcher1Nicolas Zabler2Nino Epitashvili3Matthias Dümpelmann4Mark P. Richardson5Andreas Schulze-Bonhage6Epilepsy Center, Department of Neurosurgery, Medical Center—University of Freiburg, 79106 Freiburg im Breisgau, GermanyEpilepsy Center, Department of Neurosurgery, Medical Center—University of Freiburg, 79106 Freiburg im Breisgau, GermanyEpilepsy Center, Department of Neurosurgery, Medical Center—University of Freiburg, 79106 Freiburg im Breisgau, GermanyEpilepsy Center, Department of Neurosurgery, Medical Center—University of Freiburg, 79106 Freiburg im Breisgau, GermanyEpilepsy Center, Department of Neurosurgery, Medical Center—University of Freiburg, 79106 Freiburg im Breisgau, GermanyDivision of Neuroscience, Institute of Psychiatry, Psychology & Neuroscience King’s College London, London SE5 9RT, UKEpilepsy Center, Department of Neurosurgery, Medical Center—University of Freiburg, 79106 Freiburg im Breisgau, GermanyPhotoplethysmography (PPG) as an additional biosignal for a seizure detector has been underutilized so far, which is possibly due to its susceptibility to motion artifacts. We investigated 62 focal seizures from 28 patients with electrocardiography-based evidence of ictal tachycardia (IT). Seizures were divided into subgroups: those without epileptic movements and those with epileptic movements not affecting and affecting the extremities. PPG-based heart rate (HR) derived from a wrist-worn device was calculated for sections with high signal quality, which were identified using spectral entropy. Overall, IT based on PPG was identified in 37 of 62 (60%) seizures (9/19, 7/8, and 21/35 in the three groups, respectively) and could be found prior to the onset of epileptic movements affecting the extremities in 14/21 seizures. In 30/37 seizures, PPG-based IT was in good temporal agreement (<10 s) with ECG-based IT, with an average delay of 5.0 s relative to EEG onset. In summary, we observed that the identification of IT by means of a wearable PPG sensor is possible not only for non-motor seizures but also in motor seizures, which is due to the early manifestation of IT in a relevant subset of focal seizures. However, both spontaneous and epileptic movements can impair PPG-based seizure detection.https://www.mdpi.com/1424-8220/21/18/6017photoplethysmography (PPG)heart ratesignal qualitymotor and non-motor seizuresictal tachycardiawearable device |
spellingShingle | Martin Glasstetter Sebastian Böttcher Nicolas Zabler Nino Epitashvili Matthias Dümpelmann Mark P. Richardson Andreas Schulze-Bonhage Identification of Ictal Tachycardia in Focal Motor- and Non-Motor Seizures by Means of a Wearable PPG Sensor Sensors photoplethysmography (PPG) heart rate signal quality motor and non-motor seizures ictal tachycardia wearable device |
title | Identification of Ictal Tachycardia in Focal Motor- and Non-Motor Seizures by Means of a Wearable PPG Sensor |
title_full | Identification of Ictal Tachycardia in Focal Motor- and Non-Motor Seizures by Means of a Wearable PPG Sensor |
title_fullStr | Identification of Ictal Tachycardia in Focal Motor- and Non-Motor Seizures by Means of a Wearable PPG Sensor |
title_full_unstemmed | Identification of Ictal Tachycardia in Focal Motor- and Non-Motor Seizures by Means of a Wearable PPG Sensor |
title_short | Identification of Ictal Tachycardia in Focal Motor- and Non-Motor Seizures by Means of a Wearable PPG Sensor |
title_sort | identification of ictal tachycardia in focal motor and non motor seizures by means of a wearable ppg sensor |
topic | photoplethysmography (PPG) heart rate signal quality motor and non-motor seizures ictal tachycardia wearable device |
url | https://www.mdpi.com/1424-8220/21/18/6017 |
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