Use of Wearable Sensors in Angelman Syndrome: A Systematic Review.

Veronika Vozka; Wei Siong Neo; Jane Kinkus Yatcilla; Carolyn E B McCormick; Roslyn Harold; Kimberly G&#xe1;lvez-Ortega; Mihir Dey; Laura E Fitzpatrick; A J Schwichtenberg; Orlando S Hoilett; Dan Foti; Bridgette L Kelleher

doi:10.1111/jir.70121

PubMed · 42118603

Use of Wearable Sensors in Angelman Syndrome: A Systematic Review.

Veronika Vozka·Wei Siong Neo·Jane Kinkus Yatcilla·Carolyn E B McCormick·Roslyn Harold·Kimberly Gálvez-Ortega·Mihir Dey·Laura E Fitzpatrick·A J Schwichtenberg·Orlando S Hoilett·Dan Foti·Bridgette L Kelleher

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Abstract

BACKGROUND: Wearable sensors are a promising method for collecting clinical trial outcome data for people with Angelman syndrome (AS). However, there has yet to be a systematic probe into the ways in which wearable sensors have been successfully used in AS. The current study aims to provide a quantitative summary of wearable sensors used in AS, including contexts of use and psychometric properties, and to present key narrative highlights. METHOD: Literature searches were performed in three electronic databases: APA PsycInfo, PubMed and Web of Science Core Collection. Data items were categorized into four categories: sample characteristics, study methodological details, wearable sensor characteristics and psychometric properties assessed. Sample characteristics included sample size, age, biological sex, race/ethnicity and cognitive/developmental functioning. Study methodological details were subdivided into study design and setting. Wearable sensor characteristics included sensor type, placement site, means of attachment, assessed construct and sensor-related data loss. Psychometric properties assessed included reliability and validity of sensor-derived data. RESULTS: We identified 16 articles through our systematic review. Wearable sensors were used to study sleep (n = 10, 62.5%), language (n = 2, 12.5%), gait (n = 2, 12.5%), caregiver proximity (n = 1, 6.3%), EEG power (n = 1, 6.3%), and arousal (n = 1, 6.3%) in AS through actigraphs, vocalization recorders, inertial sensors, radio-frequency identification watches, wireless EEG caps, and functional near-infrared spectroscopy caps, respectively. Findings from these studies broadly indicate that wearable sensors are feasible, reliable and valid for assessing a range of behaviours relevant to AS. CONCLUSIONS: Wearable sensors are a promising solution to enhance assessments in AS. However, with the small extant literature characterized by small sample sizes and restricted focus on a few relevant features in AS, there remains ample opportunities to explore the use of wearable sensors in people with AS. Additional studies will better inform clinical decision-making and ultimately improve the lives of people with AS and their families.

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Humans Angelman Syndrome Digital Health Outcome Assessment, Health Care Psychometrics Wearable Electronic Devices Angelman end point genetic syndrome outcome measures personalized medicine systematic review wearables Journal Article Systematic Review

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Veronika Vozka, Wei Siong Neo, Jane Kinkus Yatcilla, Carolyn E B McCormick, Roslyn Harold, Kimberly Gálvez-Ortega, Mihir Dey, Laura E Fitzpatrick, A J Schwichtenberg, Orlando S Hoilett, Dan Foti, Bridgette L Kelleher. 2026-05-12. Use of Wearable Sensors in Angelman Syndrome: A Systematic Review.. https://doi.org/10.1111/jir.70121

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