ArticleScientific reports2022
Data quality evaluation in wearable monitoring.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
45 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Neuroscience meets behavior: A systematic literature review on magnetic resonance imaging of the brain combined with real-world digital phenotyping.Human brain mapping · 2024Pooled it
- Towards a Compositional Framework for Describing Human Phenotypes.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Continuous Temperature Monitoring via Wearable Devices for Fever or Infection Management in Acute Care Hospitals: Scoping Review of Clinical Implementation and Data Analytics.JMIR mHealth and uHealth · 2026Article
- Pulse-based photoplethysmography quality assessment improves wearable seizure detection performance.Epilepsia open · 2026Article
- Post-Stroke Epileptogenesis as a Dynamic Network Process: State-Dependent Biomarkers, Longitudinal Monitoring, and the Concept of an Irritable Brain State.International journal of molecular sciences · 2026Review
- Utilization of electrodermal activity in nursing research: A mapping review.Japan journal of nursing science : JJNS · 2026Review
- Deformation Driven Suction Cups: A Mechanics-Based Approach to Wearable Electronics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Nocturnal autonomic activity in athletes with regular versus prolonged return to sport after sport-related concussion.Scientific reports · 2026Article
- Utilizing Data Quality Indices for Strategic Sensor Channel Selection to Enhance Performance of Hand Gesture Recognition Systems.Sensors (Basel, Switzerland) · 2026Article
- Using wearable technology to evaluate the electrodermal activity of therapists assessing challenging behavior.Journal of applied behavior analysis · 2026Article
- Patient-centered gastrointestinal function assessment technologies: a paradigm shift from traditional approaches to non-invasive innovations.Frontiers in physiology · 2026Review
- From signal to construct evidence: multimodal consumer-wearable sensing in real general-aviation flight.Frontiers in neuroergonomics · 2026Article
- Article
- Signal Quality Assessment and Reconstruction of PPG-Derived Signals for Heart Rate and Variability Estimation in In-Vehicle Applications: A Comparative Review and Empirical Validation.Sensors (Basel, Switzerland) · 2025Review
- Wearable Multispectral Sensor for Newborn Jaundice Monitoring.Sensors (Basel, Switzerland) · 2025Article
- A Dual In-Person and Remote Assessment Approach to Developing Digital End Points Relevant to Autism and Co-Occurring Conditions: Protocol for a Multisite Observational Study.JMIR research protocols · 2025Article
- American Life in Realtime: Benchmark, publicly available person-generated health data for equity in precision health.PNAS nexus · 2025Article
- Clinical utility of an ambulatory absence seizure detection system.Epilepsia open · 2025Article
- Article
- Variability of the Skin Temperature from Wrist-Worn Device for Definition of Novel Digital Biomarkers of Glycemia.Sensors (Basel, Switzerland) · 2025Article
Corrections and comments
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Authors and funding
15 authors.
Funding
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.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.