Data quality evaluation in wearable monitoring

Abstract: Wearable recordings of neurophysiological signals captured from the wrist offer enormous potential for seizure monitoring. Yet, data quality remains one of the most challenging factors that impact data reliability. We suggest a combined data quality assessment tool for the evaluation of multimodal wearable data. We analyzed data from patients with epilepsy from four epilepsy centers. Patients wore wristbands recording accelerometry, electrodermal activity, blood volume pulse, and skin temperature. We calculated data completeness and assessed the time the device was worn (on-body), and modality-specific signal quality scores. We included 37,166 h from 632 patients in the inpatient and 90,776 h from 39 patients in the outpatient setting. All modalities were affected by artifacts. Data loss was higher when using data streaming (up to 49% among inpatient cohorts, averaged across respective recordings) as compared to onboard device recording and storage (up to 9%). On-body scores, estimating the percentage of time a device was worn on the body, were consistently high across cohorts (more than 80%). Signal quality of some modalities, based on established indices, was higher at night than during the day. A uniformly reported data quality and multimodal signal quality index is feasible, makes study results more comparable, and contributes to the development of devices and evaluation routines necessary for seizure monitoring

Location
Deutsche Nationalbibliothek Frankfurt am Main
Extent
Online-Ressource
Language
Englisch
Notes
Scientific reports. - 12 (2022) , 21412, ISSN: 2045-2322

Event
Veröffentlichung
(where)
Freiburg
(who)
Universität
(when)
2022
Creator
Böttcher, Sebastian
Vieluf, Solveig
Bruno, Elisa
Joseph, Boney
Epitashvili, Nino
Biondi, Andrea
Zabler, Nicolas
Glasstetter, Martin
Dümpelmann, Matthias
Laerhoven, Kristof Van
Nasseri, Mona
Brinkmann, Benjamin H.
Richardson, Mark P.
Schulze-Bonhage, Andreas
Loddenkemper, Tobias

DOI
10.1038/s41598-022-25949-x
URN
urn:nbn:de:bsz:25-freidok-2323753
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
15.08.2025, 7:20 AM CEST

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Associated

Time of origin

  • 2022

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