Healthcare monitoring with earables: A paradigm shift towards digital health

The convergence of consumer electronics and digital health has spurred the rise of earables—advanced in-ear wearable devices that exploit their unique anatomical position to monitor a wide range of physiological, biomechanical, and environmental signals. By enabling continuous, unobtrusive, and personalized health tracking, earables are shifting healthcare from clinic-based to decentralized models. This review outlines the technological foundations of earables, highlighting core sensing modalities such as photoplethysmography, electroencephalography, inertial measurement, and acoustic sensing, which collectively capture parameters including heart rate, oxygen saturation, temperature, and brain activity. We discuss their expanding applications in cardiometabolic monitoring, neuropsychiatry, vestibular assessment, respiratory health, and hearing augmentation. Key challenges—spanning data reliability, user adherence, privacy, clinical validation, and regulatory approval—are addressed alongside advances in machine learning and artificial intelligence (AI) that enable real-time data interpretation and personalized feedback. Looking forward, the development of novel biosensors, closed-loop interventions, and strategies for clinical integration positions earables as a pivotal platform for next-generation digital health systems.

Authors

Institutions

Publication Details

Journal
Biomedical Analysis
Published
2025-12-01
DOI
https://doi.org/10.1016/j.bioana.2025.12.002
Citations
1
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
article
Field-Weighted Citation Impact
0.67
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Healthcare monitoring with earables: A paradigm shift towards digital health

Lincoln Clarke, Caizhi Liao, C.-S. Liau, Vivian Wei Wei
1 citations
Biomedical Analysis
Non-Invasive Vital Sign Monitoring
0.67
article

Healthcare monitoring with earables: A paradigm shift towards digital health

Lincoln Clarke, Caizhi Liao, C.-S. Liau, Vivian Wei Wei
article en
1 citations

Abstract

The convergence of consumer electronics and digital health has spurred the rise of earables—advanced in-ear wearable devices that exploit their unique anatomical position to monitor a wide range of physiological, biomechanical, and environmental signals. By enabling continuous, unobtrusive, and personalized health tracking, earables are shifting healthcare from clinic-based to decentralized models. This review outlines the technological foundations of earables, highlighting core sensing modalities such as photoplethysmography, electroencephalography, inertial measurement, and acoustic sensing, which collectively capture parameters including heart rate, oxygen saturation, temperature, and brain activity. We discuss their expanding applications in cardiometabolic monitoring, neuropsychiatry, vestibular assessment, respiratory health, and hearing augmentation. Key challenges—spanning data reliability, user adherence, privacy, clinical validation, and regulatory approval—are addressed alongside advances in machine learning and artificial intelligence (AI) that enable real-time data interpretation and personalized feedback. Looking forward, the development of novel biosensors, closed-loop interventions, and strategies for clinical integration positions earables as a pivotal platform for next-generation digital health systems.

Biomedical AnalysisVol. 2(4)
Translational Research Institute (AU), Shenzhen University (CN), QIMR Berghofer Medical Research Institute (AU), University of Cambridge (GB), Bridge University (SS), Shenzhen Technology University (CN), BioElectronics (United States) (US), Children's Health Queensland Hospital and Health Service (AU)
Openalex Percentile: Top 24%
Non-Invasive Vital Sign Monitoring
0.67
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Healthcare monitoring with earables: A paradigm shift towards digital health — Lincoln Clarke, Caizhi Liao, et al. · Biomedical Analysis (2025) | TGRS Research Map | TGRS