“MigraineMonitor” – Towards a System for the Prediction of Migraine Attacks using Electrostimulation
Migraine attacks can be accompanied by many different symptoms, some of them appearing within 24 hours before the onset of the headache. In previous work, reduced habituation to an electrical pain stimulus at the head was observed in the pre-ictal phase within 24 hours before the headache attack. Ba...
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Format: | Article |
Language: | English |
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De Gruyter
2018-09-01
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Series: | Current Directions in Biomedical Engineering |
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Online Access: | https://doi.org/10.1515/cdbme-2018-0151 |
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author | Stefke Andrea Wilm Frauke Richer Robert Gradl Stefan Eskofier Bjoern M. Forster Clemens Namer Barbara |
author_facet | Stefke Andrea Wilm Frauke Richer Robert Gradl Stefan Eskofier Bjoern M. Forster Clemens Namer Barbara |
author_sort | Stefke Andrea |
collection | DOAJ |
description | Migraine attacks can be accompanied by many different symptoms, some of them appearing within 24 hours before the onset of the headache. In previous work, reduced habituation to an electrical pain stimulus at the head was observed in the pre-ictal phase within 24 hours before the headache attack. Based on these results, this work presents an application to track influence factors on migraine attacks and an Arduino-based control unit which replaces the traditional approach of manual electrical stimulation. The usability of both components of the project was evaluated in separate user studies. Results of the usability study show a good acceptance of the systems with a mean SUS score of 92.4. Additionally, they indicate that the developed control unit may substitute the current manual electrical stimulation. Overall, the designed system allows standardized repeatable measurements and is a first step towards the home-use of a device for establishing a new method for migraine prediction. |
first_indexed | 2024-03-12T14:11:59Z |
format | Article |
id | doaj.art-bef76964f9764b58b816dbdfee68b344 |
institution | Directory Open Access Journal |
issn | 2364-5504 |
language | English |
last_indexed | 2024-03-12T14:11:59Z |
publishDate | 2018-09-01 |
publisher | De Gruyter |
record_format | Article |
series | Current Directions in Biomedical Engineering |
spelling | doaj.art-bef76964f9764b58b816dbdfee68b3442023-08-21T06:42:02ZengDe GruyterCurrent Directions in Biomedical Engineering2364-55042018-09-014162963210.1515/cdbme-2018-0151cdbme-2018-0151“MigraineMonitor” – Towards a System for the Prediction of Migraine Attacks using ElectrostimulationStefke Andrea0Wilm Frauke1Richer Robert2Gradl Stefan3Eskofier Bjoern M.4Forster Clemens5Namer Barbara6Machine Learning and Data Analytics Lab, Department of Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU),Erlangen, GermanyMachine Learning and Data Analytics Lab, Department of Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU),Erlangen, GermanyMachine Learning and Data Analytics Lab, Department of Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU),Erlangen, GermanyMachine Learning and Data Analytics Lab, Department of Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU),Erlangen, GermanyMachine Learning and Data Analytics Lab, Department of Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU),Erlangen, GermanyInstitute of Physiology and Pathophysiology, Friedrich-Alexander-Universität Erlangen- Nürnberg (FAU),Erlangen, GermanyInstitute of Physiology and Pathophysiology, Friedrich-Alexander-Universität Erlangen- Nürnberg (FAU),Erlangen, GermanyMigraine attacks can be accompanied by many different symptoms, some of them appearing within 24 hours before the onset of the headache. In previous work, reduced habituation to an electrical pain stimulus at the head was observed in the pre-ictal phase within 24 hours before the headache attack. Based on these results, this work presents an application to track influence factors on migraine attacks and an Arduino-based control unit which replaces the traditional approach of manual electrical stimulation. The usability of both components of the project was evaluated in separate user studies. Results of the usability study show a good acceptance of the systems with a mean SUS score of 92.4. Additionally, they indicate that the developed control unit may substitute the current manual electrical stimulation. Overall, the designed system allows standardized repeatable measurements and is a first step towards the home-use of a device for establishing a new method for migraine prediction.https://doi.org/10.1515/cdbme-2018-0151migraine predictionmigraine trackingpremonitory symptomselectrostimulationsmartphone application |
spellingShingle | Stefke Andrea Wilm Frauke Richer Robert Gradl Stefan Eskofier Bjoern M. Forster Clemens Namer Barbara “MigraineMonitor” – Towards a System for the Prediction of Migraine Attacks using Electrostimulation Current Directions in Biomedical Engineering migraine prediction migraine tracking premonitory symptoms electrostimulation smartphone application |
title | “MigraineMonitor” – Towards a System for the Prediction of Migraine Attacks using Electrostimulation |
title_full | “MigraineMonitor” – Towards a System for the Prediction of Migraine Attacks using Electrostimulation |
title_fullStr | “MigraineMonitor” – Towards a System for the Prediction of Migraine Attacks using Electrostimulation |
title_full_unstemmed | “MigraineMonitor” – Towards a System for the Prediction of Migraine Attacks using Electrostimulation |
title_short | “MigraineMonitor” – Towards a System for the Prediction of Migraine Attacks using Electrostimulation |
title_sort | migrainemonitor towards a system for the prediction of migraine attacks using electrostimulation |
topic | migraine prediction migraine tracking premonitory symptoms electrostimulation smartphone application |
url | https://doi.org/10.1515/cdbme-2018-0151 |
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