June 9, 2019
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Article

Robust and Accurate Modeling Approaches for Migraine Per-Patient Prediction from Ambulatory Data

Publicated to: SENSORS. 15 (7): 15419-15442 - 2015-07-01 15(7), DOI: 10.3390/s150715419

Authors:

Pagán, J; De Orbe, MI; Gago, A; Sobrado, M; Risco-Martín, JL; Mora, JV; Moya, JM; Ayala, JL
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Affiliations

Tech Univ Madrid, Dept Elect Engn, Madrid 28040, Spain - Author
Univ Complutense Madrid, Comp Architecture & Automat Dept, E-28040 Madrid, Spain - Author
Univ Hosp La Princesa, Sanitary Res Inst, Neurol Serv, Madrid 28006, Spain - Author
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Abstract

Migraine is one of the most wide-spread neurological disorders, and its medical treatment represents a high percentage of the costs of health systems. In some patients, characteristic symptoms that precede the headache appear. However, they are nonspecific, and their prediction horizon is unknown and pretty variable; hence, these symptoms are almost useless for prediction, and they are not useful to advance the intake of drugs to be effective and neutralize the pain. To solve this problem, this paper sets up a realistic monitoring scenario where hemodynamic variables from real patients are monitored in ambulatory conditions with a wireless body sensor network (WBSN). The acquired data are used to evaluate the predictive capabilities and robustness against noise and failures in sensors of several modeling approaches. The obtained results encourage the development of per-patient models based on state-space models (N4SID) that are capable of providing average forecast windows of 47 min and a low rate of false positives.
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Keywords

migrainemodelingn4sidpredictionwbsnAlgorithmsAttacksElectrocardiography, ambulatoryEquipment designFemaleHemodynamicsHumansManagementMigraineMigraine disordersModelingModels, statisticalMonitoring, ambulatoryN4sidPredictionRemote sensing technologyReproducibility of resultsRobustnessSkin temperatureSystemsWbsnWearable sensorsWireless sensor networks

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal SENSORS due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2015, it was in position 16/27, thus managing to position itself as a Q1 (Primer Cuartil), in the category Electrochemistry.

From a relative perspective, and based on the normalized impact indicator calculated from World Citations provided by WoS (ESI, Clarivate), it yields a value for the citation normalization relative to the expected citation rate of: 1.2. This indicates that, compared to works in the same discipline and in the same year of publication, it ranks as a work cited above average. (source consulted: ESI Nov 13, 2025)

This information is reinforced by other indicators of the same type, which, although dynamic over time and dependent on the set of average global citations at the time of their calculation, consistently position the work at some point among the top 50% most cited in its field:

  • Weighted Average of Normalized Impact by the Scopus agency: 1.15 (source consulted: FECYT Mar 2025)

Specifically, and according to different indexing agencies, this work has accumulated citations as of 2026-04-25, the following number of citations:

  • WoS: 34
  • Scopus: 42
  • Europe PMC: 6
  • Google Scholar: 69
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Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2026-04-25:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 76.
  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 77 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 38.
  • The number of mentions on the social network X (formerly Twitter): 1 (Altmetric).
  • The number of mentions in news outlets: 3 (Altmetric).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/41443/

As a result of the publication of the work in the institutional repository, statistical usage data has been obtained that reflects its impact. In terms of dissemination, we can state that, as of

  • Views: 456
  • Downloads: 265
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Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (PAGAN ORTIZ, JOSUE) .

the author responsible for correspondence tasks has been PAGAN ORTIZ, JOSUE.

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Awards linked to the item

Research by Josue Pagan has been funded the Spanish Ministry of Economy and Competitivity under Research Grant TEC2012-33892.
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